A Data Warehouse Appliance Can Have a Huge Positive Impact on Businesses and Organizations Essay Example for Free

A Data Warehouse Appliance Can Have a Huge Positive Impact on Businesses and Organizations Essay Businesses and organizations of all sizes are becoming increasingly dependent on data analytics, and data warehouses or business analytic infrastructure has become a business critical application for many (if not most) companies. Indeed, these companies have always searched for better ways to understand their customers, and anticipate their needs. They have longed to improve the speed and accuracy of operational decision-making. Equally important as timeliness is the depth of the data analysis. Generally, the companies want to decipher all secrets hidden within the massive amounts of ever-increasing data. A data warehouse appliance, which is an integrated collection of hardware and software designed for a specific purpose typically involving the high throughput of data and analytic functions, can be used by organizations to optimize various areas of data processing. Its main intent is to supplant conventional business intelligence functions, such as warehousing, extract-transform-load (ETL), analysis and reporting. Due to its cost-effectiveness and efficiency, the data warehouse appliance has become an important segment of the data warehousing market. In this paper, I will examine the data warehouse appliances and describe its positive impact on business enterprises. Introduction Since introduced in the early 1990s, data warehouse (DW) has proven to be the key platform for strategic and tactical decision support systems in the competitive business environment today. See more: Analysis of Starbucks coffee company employees essay It has become a major technology for building data management infrastructure, and resulted in many benefits for various organizations, including providing â€Å"a single version of the truth, better data analysis and time savings for users, reductions in head count, facilitation of the development of new applications, better data, and support for customer-focused business strategies† (Rahman, 2007). The technology has become extremely important in an environment where increasing competition, unpredictable market fluctuations, and changing regulatory environments are putting pressure on business organizations. Data warehouses are also becoming the central repositories of organization/company information for data, which is obtained from a variety of operational data sources. Business applications will find data warehouses more beneficial and rely on them as the main source of information as they progress. These applications are able to perform all sorts of data analysis, with increasing customer demands for having the most up-to-date information available in data warehouses. Improving data freshness within short time frames is essential to meeting such demands. According to Hong et al, virtually all Fortune 1000 companies, today, have data warehouses, and many medium and small sized firms are developing them. The desire to improve decision-making and organizational performance is the fundamental business driver behind data warehouses. DW help managers easily discover problems and opportunities sooner, and widen the scope of their analysis. Hong also mentions that data warehouse is user-driven, meaning that users are allowed to be in control of the data and will have the responsibility of determining and finding the data they need. But however, the data warehouses have to be designed and evaluated from the user perspective in order to motivate users to be responsible for finding the data they need. Data warehouse is said to be â€Å"one of the most powerful decision-support tools to have emerged in the last decade† (Ramamurthy, 2008). They are developed by firms to help managers answer important business questions which require analytics including data slicing and dicing, pivoting, drill-downs, roll-ups and aggregations. And these analytics are best supported by online-analytical processing (OLAP) tools. A data warehouse appliance, which is the main topic of discussion in this research, is referred to as an integrated collection of hardware and software designed for specific purposes involving the high throughput of data and analytic functions. Data warehouse appliance has become an important segment of the data warehousing market, due to its cost-effectiveness and efficiency. A business or organization can use a data warehouse appliance to optimize various areas of data processing. In general, the main purpose of the DW appliance is to supplant conventional business intelligence (BI) functions including warehousing, extract, transform, load (ETL), analysis, and reporting. A data warehouse appliance can have a huge positive impact on a business enterprise. Large organizations are able to staff their data warehouse more efficiently, while assisting mid-level companies in solving business intelligence challenges. Data warehouse is fundamentally changing the way the businesses operate, as they are increasingly adopted across various companies. The purpose of this paper is to present the data warehouse appliances and how they impact businesses and organizations. In the next sections, I present a brief overview of data warehousing and the current state of BI, then I define and discuss DW appliances including its benefits, after which I describe the positive impact of DW appliances on businesses. Data Warehousing A data warehouse can basically be defined a subject-oriented, integrated, non-volatile, and time-variant collection of data in support of managements decisions. Unlike the on-line transaction processing (OLTP) database systems, data warehouses are organized around subjects storing historical/summarized data for business requirement purposes. According to O’Brien and Marakas, a data warehouse is a central source of data which have been cleaned, transformed and cataloged so they are usable by managers/business professionals for data mining, online analytical processing, market research, and decision support. These stored data are usually extracted from various operational, external, and other database management system of an organization. DW can be sub-divided into data marts, holding subsets of data from the warehouse that focus on specific aspects, such as department, of a company. In general all data warehouse systems comprises of the following layers; data source, data extraction, staging area, ETL, data storage, data logic, data presentation, metadata, and system operations layer. But the four major components include the multi-dimensional database, ETL, OLAP, and metadata. The dimensional database applies the concept of standard star-schema including dimension and fact tables, hierarchies for drill-down, role models, aggregates and snow flaking. It optimizes database design for better performance. The ETL process involves the extraction, transformation and loading of data with appropriate ETL tools. Data integration is one of the most important aspects of data warehouse, whereby data is extracted from multiple heterogeneous source systems and placed in a staging area where it is cleaned, transformed, pruned, reformatted, standardized, combined, and summarized before loading into the warehouse. OLAP (online analytical processing) tool provides the front-end analytical capabilities including slice and dice, drill up, drill down, drill across, pivoting, and trend analysis across time. And metadata stores information (or data) about the data in the warehouse system. The components of a complete data warehouse architectural system are illustrated in Figure 1 below. Figure 1 An important characteristic about the data in a data warehouse is that they are static, unlike a typical database with constant changes. Once the data are gathered up, formatted for storage, and stored in the data warehouse, they will never change. The restriction is such that complex patterns or historical trends can be searched for, and analyzed, by queries. Data warehouses are also non-volatile in the sense that end-users cannot update the data directly, thereby being able to maintain a history of the data. A major use of the data warehouse databases is data mining, in which the data are analyzed to reveal hidden patterns and trends in historical business activity. Such analysis could be used to help managers make decisions about strategic changes in business operations in order to gain competitive advantages in the marketplace. Data warehousing is a relatively new technology that â€Å"brings the vision of an entirely new (customer-centric) way of conducting business to reality†, and can provide â€Å"environments promising a revolution in organizational creativity and innovation† (Ramamurthy, 2008). Ramamurthy also mentioned that data warehouse generally serves as an IT infrastructure technology, focused on data architecture, as it provides a foundation for integrating a diverse set of internal and external data sources, enabling enterprise-wide data access and sharing, enforcing data quality standards, providing answers to business questions, and promoting strategic thinking through CRM, data mining, and other front-end BI applications. Users of the data warehouses are from virtually every business unit, amongst which information systems, marketing and sales, finance, production and operations, are the heaviest users. Current State of Business Intelligence Business Intelligence are computer based techniques used in identifying, extracting and analyzing business data. Sales revenue by products, department, time, region or income are such examples. The BI technologies provide historical, current and predictive views of business operations. Some common functions of BI technologies include reporting, online analytical processing, analytics, data mining, text-mining and predictive analytics. As BI aims to support better business decision-making, they can also be referred to as a decision support system. BI applications often use data gathered from data warehouses or data marts, however, not all BI applications require a data warehouse. With sources from Wikipedia, business intelligence can be applied to business purposes in order to drive business value. Amongst these business purposes include measurement, analytics, reporting, collaboration, and knowledge management. BI is widely used today, mainly to describe analytic applications. According to Watson, BI is currently the top-most priority of many chief information officers. In a survey of 1,400 CIOs, from Gartner Group, it was discovered that BI projects were the number one technology priority for 2007. Watson further informs that the BI is a process which basically consists of two primary activities; â€Å"getting data in and getting data out†. Getting data in, also referred to as data ware housing, delivers limited value to a business enterprise. Organizations realize the full value of data from data warehouses only when users and applications access the data and use it to make decisions. Getting data out receives the most attention, as it consists of business users/applications accessing data from DW to perform enterprise reporting, OLAP, querying and analytics. The business intelligence framework is depicted in figure 2. Current BI infrastructure is a patchwork of hardware, software and storage that is growing ever more complex. Figure 2 – BI framework BI is continuing to evolve, and several recent developments are generating widespread interest, including real-time BI, business performance management, and pervasive BI. Data Warehousing Appliance A data warehouse is developed to support a broad range of organizational tasks. It can be referred to as an organized collection of large amounts of structured data, designed and intended to support decision making in organizations. The import of information and knowledge from a data warehouse is a complex process that requires understanding of the logical schema structure and the underlying business environment. According to Hinshaw, a data warehouse appliance, applied to business intelligence, â€Å"is a machine capable of retrieving valuable decision-aiding intelligence from terabytes of data in seconds or minutes versus hours or days†. The appliances represent the difference between decision-making using either stale data or the freshest information possible. With sources from Wikipedia, a more standard definition of the data warehouse appliance is an integrated collection of hardware and software designed for a specific purpose that typically involves the high throughput of data and analytic functions. It typically consists of integrated set of servers, operating systems, data storage facilities, database management systems (DBMS), and software that is pre-installed and pre-optimized for data warehousing. DW appliances provide solutions for the mid-to-large volume data warehouse market, offering low-cost performance usually on data volumes within the terabyte range. Due to its cost-effectiveness and efficiency, the data warehouse appliance has become a critical segment of the data warehousing market. A business or an organization can use a data warehouse appliance to optimize various areas of data processing. The main purpose of a DW appliance, in general, is to supplant conventional business intelligence functions, such as warehousing, extract, transform, load (ETL), analysis, and reporting. A true DW appliance is defined as one that does not require fine-tuning, indexing, partitioning, or aggregating, whereas, some other DW appliances use languages such as SQL to facilitate interaction with the appliance at a database request level. With reference to Wikipedia, most data warehouse appliance vendors use massive parallel processing (MPP) architectures to provide high query performance and platform scalability. The MPP architectures consist of independent processors or servers executing in parallel, implementing a â€Å"shared nothing architecture† which provides an effective way to combine multiple nodes within a highly parallel environment. A DW appliance is capable of deploying up to thousands of query processing nodes in one ppliance package, compared to traditional solutions where the cost and complexity of each additional node prevents a high level of hardware parallelism. Leveraging fully integrated data warehouse architecture, a data warehouse appliance can deliver a significant performance advantage, performing up to 100 times faster than general-purpose data warehousing systems. Maturation With reference to Hinshaw, data warehouse appliance is specifically designed for the streaming workload of business intelligence and is built based on commodity components. It integrates hardware, DBMS and storage into one opaque device and combines the best elements of SMP and massively parallel processing (MPP) approaches into one that allows a query to be processed in the best possible optimized way. A data warehouse appliance is fully compatible with existing BI applications, tools and data, through standard interfaces. It is simple to use and has an extremely low cost of ownership. The development of standardized interfaces, protocols and functionality is one of the most important trends in BI. In comparison to about a decade ago, there are a wealth of tools and applications using these standardized interfaces including MicroStrategy, Business Objects, Cognos, SAS and SPSS. And these are coupled with ETL tools having standardized interfaces such as Ab Initio, Ascential and Informatica. The appliances work seamlessly with these tools and other in-house applications. A data warehouse appliance is truly scalable. The bottlenecks are the speeds of the internal buses, internal networks, and disk transfer in BI, whereas in transactional workloads, scalability is limited primarily by CPU. Reliability, which is provided by the homogenous nature of an appliance – all parts of the system coming from a vendor, is also critical. A data warehouse appliance also provides simplicity for the administrators, in that it allows administrators spend a more productive time in troubleshooting complex database systems. And DBAs can be deployed to assist end users doing real-time BI. A data warehouse appliance offers the lowest cost of ownership as it has one source and one vendor, thereby reducing costs associated with support. Businesses and organizations will run more efficiently with the simple, efficient solution provided by a data warehouse appliance. Benefits Data warehouse appliances provide freedom to the business user. With patch-work systems, users are limited in the queries they can run due to the time required to run them. And with the time required to run a complex query reduced to seconds, users can not only run their old analysis with more iterations, but have the time to devise and run entirely new sets of analysis on granular data. With sources from Wikipedia, some researched benefits of DW appliance are briefly discussed as follows; Reduction in costs – As a data warehouse grows, the total cost of ownership of the data warehouse consists of initial entry costs, maintenance costs, and the cost of changing capacity. DW appliances offer low entry and maintenance cost. Parallel performance – DW appliances provide a compelling price/performance ratio. The vendors use several distribution and partitioning methods to provide parallel performance. With high performance on highly granular data, DW appliances can address analytics that could previously not meet performance requirements. Reduced Administration – DW appliances can provide a single vendor solution, taking ownership for optimizing the parts and software within the appliance, thereby eliminating the customers costs for integration and regression testing of the DBMS, OS and storage on a terabyte scale. DW appliance reduces administration via automated space-allocation, reduced index-maintenance and reduced tuning and performance analysis. Scalability – DW appliances scale for both capacity and performance. In massive parallel processing architectures, adding servers increases performance as well as capacity. Built-in high availability – Massive parallel processing DW appliance vendors provide built-in high availability via redundancy on components within the appliance. Warm-standby servers, dual networks, dual power-supplies, disk mirroring with fail-over and solutions for server failure are offered by many. Increasingly, business analytics are expected to be used to improve the current cycle, and DW appliances provide quick implementations without the need for regression and integration testing. Also, DW appliances provide solutions for many analytic application uses. Some of these applications include; enterprise data warehousing, super-sized sandboxes isolating power users with resource intensive queries, pilot projects, off-loading projects from the enterprise data warehouse, applications with specific performance or loading requirements, data marts that have outgrown their present environment, turnkey data warehouses, solutions for applications with high data growth and high performance requirements, and applications needing data warehouse encryption. Impact of Data Warehouse Appliances on Businesses and Organization Demand for data warehouse appliances is increasing, and businesses taking advantage of the benefits of this hardware range from a world-wide large-scale business to the smallest individual business. Data virtualization could be a useful partner to appliances, providing a single view of information across multiple appliances. Data virtualization is also useful because it provides a stable reporting layer during normal migration exercises, such as the circumstances during addition of data warehouse appliances to the information infrastructure. As businesses today continue to process extremely large volumes of data, there is always the need to keep data warehousing costs under control while ensuring a superior BI and application performance. Scalability, flexibility, and affordability are essential requirements for designing an infrastructure capable of supporting next-generation BI performance. When asked why the demand for data warehouse appliance is increasing, during an interview, Robert Eve (executive vice president of marketing for Composite Software Inc. ) stated that it is the confluence of three primary drivers at the macro level. The first is â€Å"the well-reported information explosion, and the technical challenges involved in making this information accessible in forms that business decision-makers can easily use†. Secondly, data warehouse appliances are more affordable and appealing, as the costs per terabyte and for support are coming down. And finally, recent advancements in analytics technology, notably in predictive analytics, promise to concur with the massive data volumes. Data warehouse appliances offer numerous advantages some of which are similar to benefits. Amongst the advantages include; more reporting and analytical capabilities – data warehouse appliance are able to handle bigger and more complex query workload, if it executes queries, Cost reductions – data warehouse appliance requires a minimal amount of tuning and optimization of the database server and database design. It is also able to run most queries with a quick speed, Flexibility – it will be easier to implement new user requests if less tuning and optimization is needed. With other database servers, a new query might lead to quite a number of technical changes, such as creating and dropping indexes, repartitioning tables, etc. Sometimes, decision is made not to implement the new request at all, due to the overwhelming work. The need for these additional technical changes is less with a data warehouse appliance. Data warehouse appliances helps support impressive BI deployments. With reference to Hinshaw, real world application examples of the positive impact of DW appliance on businesses are discussed. The rapid growth of call detail records, in the telecommunications industry, creates an imposing amount of data, which makes it difficult for companies to quickly and efficiently analyze customer and call plan information. And traditional approaches have been inefficient in processing queries on even a months data, seriously hampering an organizations ability to perform trend analysis to reduce customer churn and generate timely reports. However, with a DW appliance, the telecom user can analyze customer activity down to the call detail record level over a full years worth of detailed data. Another industry where data warehouse appliances have begun to prove their worth, and are poised to play a bigger role in the future, is the retail. Hinshaw states that Brick-and-mortar and online retailers are capturing great amounts of customer transaction and supply chain information, creating a data explosion that threatens to overwhelm an average retail organization and its current IT infrastructure. But data warehouse appliances enable these retailers to manage and analyze the terabytes of information in near-real time. They are able to use the information to effectively forecast buying patterns, quickly generate targeted promotions and optimize their inventory and supply chain. Business intelligence remains the foundation for the success of decision making in any company. And BI, itself, relies on the underlying database architecture. Eve also presents other real world examples of positive business impact among a broad range of industries. A leading worldwide convenience foods business uses data warehouse appliances and analytic applications to acquire major business benefits in two specific areas. One of which the company optimizes its international network of delivery routes, making the system more efficient and ensuring timely delivery of its products. Secondly, it continuously refines its merchandizing mix daily, on a retail basis, in order to maximize sales and margins. Major League Baseball captures information about every pitch, at-bat, and fielding play within a data warehouse appliance, using this data to predict players’ future on-field performance. This can help teams to evaluate current and free-agent talent, refine coaching and development methods, and determine salaries, hence maximizing their wins. Also, a global freight, transportation, and logistics company uses data warehouse appliances to identify behavioral patterns that indicate potential dissatisfaction within its existing customer base. The customer care group then proactively takes steps to improve satisfaction before they lose their customers. Currently, smaller data warehouse appliance vendors seem to be focusing on adding functionality to their products in order to compete with the mega-vendors. However, it is anticipated that all appliance vendors will be impacted by the trend toward an inexpensive, high-performance, and scalable virtualized data warehouse implementations which use regular hardware and open source software. Conclusion In general, data warehouse appliance is a combination hardware and software product specifically designed for analytical processing. In a traditional data warehouse implementation, the database administrator can spend a significant amount of time tuning and putting structures around the data to get the database to perform well for large sets of users. But with a data warehouse appliance, it is the vendor who is responsible for simplifying the physical database design layer and making sure that the software is tuned for the hardware. In this research, a comprehensive examination/review of the data warehouse appliances, their benefits, and how they positively impact businesses and organizations, was presented. Based on this research, the negative impact of DW appliances on businesses are negligible compared to its positive impact. And there is an increasing demand for DW appliances. I believe that, in the near future, the DW appliances will become the sole platform for all business intelligence applications and requirements. I gained much knowledge and insights from researching this topic, and I intend to further my research on future impacts of DW appliance on businesses.

Building Our Future, One Student At a Time :: Education Teaching Teachers Essays

Building Our Future, One Student At a Time There have been many influences on my life. Some have been positive and some have been negative. But, the biggest influence on my life was luckily a very positive one in the form of numerous caring, motivated, intelligent people. You may ask who these people were. They were simply my teachers, and they are the main reason for my career decision. I am in full agreement with Rousseau in his belief that we are all born innocent. That we are neither good nor evil, but rather the environment in which we are influences this. That is why being a good teacher is important. I really and truly feel that the greatest influences on a child, aside from their parents, are their teachers. These are the people that teach children the knowledge and skills that they will use most in life. For example, they teach students how to read, how to do mathematics, how to analyze information, and how to apply the things that they have learned to their everyday lives. Teachers are around the student, in some instances, more than the parents. Therefore, the teacher’s impact on the student is tremendously great. Teachers have to be a number of things all rolled up into one neat package. First and foremost, teachers must be great role models for their students. The teachers have to be role models not just in their words, but also in their actions. If there is one thing I’ve learned from being in different school settings and around numerous children it is that children are very observant. They notice all the little things that you don’t even realize you are doing. So, if you are doing the things you are trying to instill into the children, you establish a trust with them and they see that these aren’t just words that you speak, but they are actually things that you know, believe in, and above all else practice in your own life. This constant role model status also helps you be a better person as you mold the lives of our future. Teachers also have to be disciplinarians. They have to set boundaries and rules for the students and enforce them without a drop of prejudice.

The program Leadership Innovation and Growth

The program Leadership, Innovation and Growth has been designed by the management at General Electric in order to facilitate team training in leading change. The strategic focus under the leadership of CEO Immelt has been the growth strategy through expanding businesses and creating new ones rather than through acquisitions.The business of GE that participated in the program was Power Generation, one of the company’s oldest businesses. So far GE’s successes had been spurred by the headquarters.But now Immelt wanted to pass on the responsibility to the teams in the individual businesses. In order to facilitate this delegation of responsibility, the LIG program had been designed. The program facilitated team training to lead change and therefore to embed growth into the DNA of the company. The purpose of the program was to make innovation and growth a religion at GE.The program underscores the value of team training. Under the previous CEO Jack Welch, the strategic focus had been to maximize operational excellence. Now the new CEO Immelt wanted to combine innovation and organic growth with operational excellence to synergistic effects.This meant redesigning the organizational structure. Thus the business issue was the process of managing change. However the focus of traditional training programs had been individual training.Therefore when the employee returned to work on the new initiatives, he faced resistance from the rest of the team who had not been trained. The LIG program addressed this problem by focusing on team training so that the participating managers can reach consensus on the growth opportunities and the strategies to be implemented in capitalizing upon them.The industry in which GE Power Generation operates is characterized by a fast pace of change. As a result, the business must be able to manage change continuously. The business has been growing at a fast rate throughout the world. However it emerged from the program that the busine ss did not possess enough management capital to bring about the regulatory changes. This meant that the managers would have to rethink the strategies of developing human capital.The business was growing at a fast rate in emerging markets such as India, China and the Middle East and therefore the critical success factor was to expand the regulatory expertise accordingly. In addition, maintaining the momentum of the company’s growth meant speeding up the product development process. The management needed to reach a consensus in how to implement these strategies in these areas.The management needed to figure out how to delegate authority to the different regions. For example, the natural response to new product development has been to maximize the extent of standardization. Variety and customization have always been disliked. However the challenge in front of the management was to develop products in country for country. Thus the product development process had to be redesigned in terms of delegating more authority to the regional managers.This involved cultural reorientation so that when the regional delegation did not go right, the blame did not fall on headquarters. The management also had to make sure that the process for global customers remained uniform across the regions and that there was a consensus on which contract terms should remain the same and which should be varied. These issues caused the need for the LIG program to be launched.The recommendations that have emerged from the program have been categorized into five areas. The first is the area of team training. This form of training enabled the managers to reach a consensus on what were potentially the barriers to change and how best to attack them. The second area was to consider both the hard barriers and the soft barriers to change. The hard barriers were defined as the existing organizational structure, capabilities and resources.The soft barriers were defined as the interactions between the members of the leadership teams individually and collectively. The management needed to address both barriers in order to manage change effectively. For example, GE Power Generation pursued the growth strategy of developing products in country for country. The barrier to implementing the strategy was the lacking in regulatory strength.

The Story of Passover Essays - 1206 Words

The Story of Passover The story of Passover began with the arrival of Jacob and his family in Egypt to be with son Joseph who had become Viceroy of all Egypt. When Joseph and his brothers died and the children of Israel multiplied in the land of Egypt, King Pharaoh chose to forget all that Joseph had done for Egypt - transforming it into the wealthiest country in the world at the time. He decided to take action against the influence and growing numbers of the children of Israel. He summoned his council and they advised him to enslave these people and oppress them before they grew too powerful. Pharaoh embarked upon a policy of limiting the personal freedom of the Hebrews, putting heavy taxes on them and recruiting their men into forced†¦show more content†¦She hired the babys mother Yocheved to be his nurse, who also taught him about his rich Jewish heritage. When the children of Israel could no longer endure their terrible suffering at the hands of their cruel overlords, their cries for help co ming from the very bottom of their hearts pierced the heavens. God remembered His covenant with Abraham, Isaac and Jacob and decided to deliver their descendants from bondage. Moshe was 80 years old and his brother 83 years old when they entered the palace of King Pharaoh. Pharaoh asked the two brothers what they wanted. The message sounded like a command: The God of Israel said, Let My people go, that they may serve me. Pharaoh refused, saying that he had never heard of the God of the Israelites. He further accused Moshe and Aaron of a conspiracy against the government and of interfering with the work of the Hebrew slaves. At Moshes suggestion, Aaron then performed the miracles God had enabled him to perform, but Pharaoh was not greatly impressed, for his magicians could do almost as well. When Pharaoh continued to refuse to liberate the children of Israel, Moshe and Aaron warned him that God would punish both him and his people. First, the waters of the land of Egypt were to be turned into blood. This was followed by the plague of frogs, which covered the entire land. The third plague had lice crawling forth from the dust to cover all of Egypt. AlthoughShow MoreRelatedA Passover Seder750 Words   |  3 PagesSeder Observation A Passover Seder is a religious holiday service for the Jews. Passover is the retelling and celebration of the Jews exodus from Slavery. The decedents of the Jews were slaves in Egypt and through a successful rebellion were able to escape slavery into freedom. The story of the Exodus is due to the many decades of slavery put on the Jews by the Egyptian pharaohs. God saw the Israelite’s distress and sent Moses to the Pharaoh warning the Pharaoh to release the Israelites from slaveryRead More Passover and Easter Essay1324 Words   |  6 Pages Passover amp; Easter nbsp;nbsp;nbsp;nbsp;nbsp;Christianity and Judaism are the few examples of religions that are originated from Western Traditions. These religions take different approaches to representational art and iconography which is found in their religious festivals. The Christian celebration of Easter and the Jewish Passover differentiate in their approaches to these icons in the history, the celebration and the symbols used during the commemoration of these holidays. PassoverRead MoreThe Sabbath Of The Jewish Holidays954 Words   |  4 PagesWhen people think of holidays they would think Christmas or Thanksgiving. But with the Jewish religion they celebrate the holidays a little bit different than most people. With the Jewish cultural they celebrate Shabbat, Passover, You Kippur, Sukkot, and Hanukkah. The Shabbat is considered the most important of all Jewish holidays. It is the day of rest and weekly observance of God s completion of creation. Shabbat starts on a Friday night an hour before sunset, it lasts for 25 hours until sunsetRead MoreWhat is The Eucharist?1467 Words   |  6 PagesMemorial is an integral part of Eucharist. With origins in the Passover meal, we cannot understand Eucharist without knowledge of Passover. The symbolism of both rituals is deeply entwined; we remember, give thanks, worship, and renew our covenant with God. Jesus instituted the Eucharist at the Last Supper. Although scholars are uncertain as to whether the Last Supper was the Passover meal, it â€Å"took place in the atmosphere of the Passover† . The Last Supper added a new dimension to the Jewish ritualRead MoreThe World Behind The Text1204 Words   |  5 Pagesbuild the cities and structures of Egypt. They are oppressed under the reign of the Pharaoh who fears their growth in numbers. The Israelites needed new hope in God. The Passover presents a new hope, God will protect them, and God will not allow them to suffer, as long as they show that they have faith by practising the Passover and remembering this each year. As stated by Terence E. Fretheim this passage allows the Israelites to movement â€Å"from slavery to worship, form Israel’s bondage to PharaohRead MoreThe Old Testament And New Testament1373 Words   |  6 Pagesthat the Old Testament is unnecessary to the biblical study with the New Testament containing all the study materials needed. Even so, Old Testament is vital literature needed for Christians. The Old Testament’s importance comes from its prophecies, stories, and ideas. The Old Testament helps to complete the New Testament The Old Testament is fundamental text for Christians due to the fact it contains many prophecies, fulfilled in both the Old Testament and New Testament. The prophets of the Old TestamentRead MoreThe Christ, The Son Of The Living God1717 Words   |  7 Pageshuman life to show the people that He is the Messiah. This writing will look into Seeing the Messiah, Proof in the Symbols Jesus’s triumphant entry into Jerusalem, the clearing of the temple and finally, Jesus symbolizing His own death at the Passover meal. A Triumphant Entry In the time of Jesus, a king entering the city with great fanfare was well known and expected. All four Gospels record the account of Jesus entering Jerusalem on a donkey and all four emphasize the symbolism of thisRead MoreJewish Holidays1075 Words   |  5 PagesJewish Holidays Passover: 15th of Nisan (spring, March-April) The Passover in Hebrew is known as Pesach. It begins in the Sunset of Monday, April 10, 2017, and ends at the nightfall of Tuesday, April 18, 2017. The Pesach is depicted in the book of Exodus 12:23. It describes the day when God passed over Israelites. During the Passover, the Israelites usually celebrate their Liberation from the Egyptian bondage. This is when God delivered them from slavery in Egypt. The Passover is also consideredRead MoreImportance Of Exodus For The Jewish Community. Name Of1284 Words   |  6 PagesMuslims consider the revelations brought upon Muhammad and his exile that are extremely important events for their community. Similarly, we find that for the Jews, it is the Exodus that occurs and the reason for which they observe Passover ever year. When the Jews observe Passover, it can be depicted that they are celebrating or commemorating the most important event for them, which is the Exodus that occurred from Egypt. It would be useful to consider what the Exod us was and why it is so important forRead MoreConservative Judaism1093 Words   |  5 Pagesthe sins they have committed through out the past year. Passover is the most widely observed Jewish holiday. On Passover, Jews all over the world conduct a Passover Seder. Seder means order or organization. The Passover Seder is a celebratory meal that is performed in an organized way so that all the commandments of Pesach will be performed. The Torah commands Jews on Passover to tell the story of the Exodus and to eat matzah. On Passover Jews must eat bitter herbs this is done to remind them of