According To The Author Of “Build A Streamlined Refinery”,

One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Company gathers data by using Web analytics and operational systems, we must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.

All projects are working towards a Data Model that gets approved by engineering and business in the next few sprints. The goal is to provide self service reporting capabilities for the data relevant to respective business function.

Businesses today continue to strive and grow in the industry to keep up with the never ending changes in the business they need the tools to obtain information that can be used to make decisions for the business. The decisions to make in a business can consist of knowing what geographic region to focus on, which product lines to expand, and what markets to strengthen in the industry. To obtain the type of information that has the proper content and format that can assist with strategic decisions they turned to data warehousing. It became the new paradigm intended specifically for vital strategic information.

Deliver high quality data for a range of enterprise initiatives including business intelligence, applications consolidation and retirement, and master data management.

Design, code and deliver user friendly multi-tier business intelligence solutions that utilize data warehouse/data mining technologies to consume data across various database platforms and data stores.

In Philip Russom’s webinar he provides an overview of what a Data Warehouse (DW) modernization is, why many users’ DWs need modernization. The top five most common reasons for DW modernization including: Advanced Analytics, Scale, Speed, Productivity and Cost Control, what is the result from modernization, and his recommendations

Although big data promises better margin’s, more revenue and improvised operations it also brings new challenges to the It infrastructure which is “extreme data management” .At the same time these companies should also need to look at workload automation and make sure it is robust enough to make to handle the needs that the big data is

Qualified professionals that are able work on new technologies and to interpret data are limited. “Big Data” is a relatively new concept, consequently, there is a shortage of experts that can interpret the information of a business like Peter Mayer’s to get understanding of what the agency’s needs are.

Datatrend provides additional value over simply selling the product. We can support the client through the entire life cycle of a data project, including database selection, design, configuration, implementation, optimization, and migration from a previous system.

Driven by accelerated productivity gains and ever-increasing performance, “state of the art” data integration platforms, such as Informatica® PowerCenter®, handle the vast majority of today’s scenarios quite effectively. PowerCenter has enjoyed wide acceptance and use by high-volume customers representing companies and government organizations of all sizes. Based on this use, Informatica has identified performance scenarios where processing data in a source or target database—instead of within the data integration server—can lead to significant performance gains. These scenarios are primarily where data is “co-located” within a common database instance, such as when staging and production reside in a single Oracle relational database management system (RDBMS) or where a large investment has been made in database hardware and software that can provide additional processing power. With these scenarios in mind, Informatica Corporation set out to deliver a solution that delivers the best of both worlds without incurring undo configuration and management burden; a solution that best leverages the performance capabilities of its data integration server and/or the processing power of a relational database interchangeably to

Hortonworks is a business computer software company based in Palo Alto, California. The company focuses on the development and support of Apache Hadoop, a framework that allows for the distributed processing of large data sets across clusters of computers. Architected, developed, and built completely in the open, Hortonworks Data Platform (HDP) provides Hadoop designed to meet the needs of enterprise data processing.HDP is a platform for multi-workload data processing across an array of processing methods from batch through interactive to real-time - all supported with solutions for governance, integration, security and operations.

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.

Try to make it better, integrated, more accurate and can be accessed from a source of one single point. Behind the data warehouse development there is an application which is work as driver to build it.

Abstract—SAP HANA (“High Performance Analytic Appliance”) is doubtlessly a hands’ down winner over Oracle. SAP created Hana for real-time analytics and applications. Oracle released Exadata Database Machine in 2010 to deliver the highest levels of database performance available. Though Oracle claimed that it wants to be the leading applications vendor in the world, it failed to openly accept SAP HANA as its competitor. While HANA is also an in-memory RDBMS like Exadata, it is more of a business platform. It allows customers to see their business in a new

It is used to perform data flow functions like reading, validating, refining, transforming, writing data to data sources.