Data Warehouse Technologies

I've found that a lot of big data providers are always trying to prove the superiority of their technology by debasing the Data Warehouse, and I have always hated this way of marketing. They always say that the Data Warehouse system is too large, expensive and inflexible, and that their technology is fast, flexible and inexpensive. In the end they will be smug and say, "Come buy our products, and we'll get you out of the Data warehouse." 　　"They are always implying that you are a technology, or that the solution itself is out of the question. I admit that there are many problems with the data warehouse itself. It's not easy to design a data warehouse, but to be real ...

Internet giants Google and Facebook have achieved huge value by managing and analyzing big data, prompting CIOs to ask whether emerging technologies can create brilliant results within their own businesses. The idea is partly encouraged by industry analysts predicting that big data will grow at breakneck speed. Wikibon predicts that by 2015 the big data market will jump from $5 billion trillion in 2012 to more than $30 billion trillion, up to $53.4 billion in 2017 (where you can ...).

The example demonstrates using the IBM BCU design architecture to benchmark TPC as data source (300GB data volume) and test case, showing the pull effect of "troika" on query performance. Whether in the POC test or in the real production system, query performance is an important indicator of customer concern. Through this article, the reader can fully understand the "troika" of the mystery, the text of the example demo to the reader has reference and referential significance. In the Http://www.aliyun.com/zixun/aggreg ...

Integrated equipment (appliance) and large data analysis features have been the focus of attention in the latest 2012-year Data Warehouse Magic Quadrant report of Gartner, where major data warehouse vendors have increased their input in their offerings. This article will be the current industry's major manufacturers and products to make a comparison, end users can also be based on their own needs to evaluate the data Warehouse products. After acquiring Aster Data Bae last year at a price of 263 million dollars, Teradata's product line gets ...

Recently, the world-renowned 12th annual Teradata Data Warehouse and Enterprise Analysis Summit held in Suzhou, chapter of "The ultimate interpretation of the value of data" as the theme, in-depth discussion of how enterprises to fully utilize the latest data warehouse and enterprise analysis technology, with the help of data sources to provide insight to quickly formulate the best business decisions, grasp the business opportunities. At the press conference, Teradata dynamic Enterprise Data Warehouse platform 6690 (Active EDW 6690) platform began to supply, provide the latest generation of hybrid storage, further enhance the capacity of data warehousing, help ...

Over the past three years, the Hadoop ecosystem has expanded to a large extent, with many major IT vendors introducing Hadoop connectors to enhance the top tier of Hadoop or the Hadoop release that the vendor uses. 　　Given the exponential growth in the deployment rate of Hadoop and the growing depth and breadth of its ecosystems, we wonder whether the rise of Hadoop will lead to the end of traditional data warehousing solutions. We can also put this issue in a larger context to discuss: to what extent, large data will change ...

Most data warehousing projects will bring huge investment. For example, the Nordbanken bank, a European lender, spent 100 million euros to build a data warehouse system for data unification across regions and business units. However, in the face of the same business challenges, another European bank, UniCredit, has taken a radically different approach. "Our philosophy is to look for space in other projects, as long as there are any other projects," UniCredit chief financial officer Criscito Ambrisi said in an interview.

Apache Hadoop is the foundation of a new generation of data warehouses. Hadoop is used by companies as a strategic role in their current warehousing architectures, such as extraction/transformation/loading (ETL), data staging, and unstructured content preprocessing. I also see Hadoop as a key technology in a new generation of large-scale parallel data warehouses in the cloud, and Hadoop complements today's warehousing techniques and low latency streaming platforms. At IBM, we look forward to the next few years, Hadoop and data warehousing technology can be more perfect for each other ...

Big data is now a very hot topic, SQL on Hadoop is the current large data technology development in an important direction, how to quickly understand the mastery of this technology, CSDN specially invited Liang to do this lecture for us. Using Sql-on-hadoop to build Internet Data Warehouse and business intelligence system, through analyzing the current situation of business demand and sql-on-hadoop, this paper expounds the technical points of SQL on Hadoop in detail, shares the experience of the first line, and helps the technicians to master the relevant technology quickly ...

In the large data age, the Hadoop distributed processing architecture brings new life and challenges to it, data management, and data analysis teams. 　　With the development and expansion of Hadoop ecosystem, enterprises need to be ready for the rapid upgrading of technology. Last week, the Apache Software Foundation just announced a formal GA for Hadoop 2.0, a new version of Hadoop that will bring a lot of change. With HDFs and java-based MapReduce as core components, the early adopters of Hadoop ...