The most important part of the big data puzzle

In large data projects, the full release of data value is often an important but complex goal. As I mentioned in the Enterprise deployment Hadoop solution (putting Hadoop to Work in the Enterprise), the Data warehouse is an important part of the [Big Data] puzzle ... But successful big data projects need to integrate Hadoop, NoSQL and other open source platforms.

To complete the large data jigsaw puzzle, Teradata recently announced the acquisition of two companies in Revelytix (developing Hadoop data management and data preparation tools) and HADAPT (providing an analysis platform for native integration of SQL and Apache Hadoop), which made me feel excited.

Of course, all of these technologies and tools will eventually Kakawa and become a part of the larger data puzzle. As another important large data puzzle, professional services are critical in large data projects to help organizations fully release data value. Teradata to provide customers with high value solutions, not only include excellent technology, but also include a higher quality of technology, architecture and business consulting services, we have achieved good results in this regard.

By quickly browsing through the large data market segments, the customer's significant demand for such professional services can be found. 2013, the global data professional services revenue totaled more than 6 billion U.S. dollars, with absolute advantage to become the largest market segment. While big data has huge market potential, it cannot be easily released. As a result, even a little bit of professional advice can help.

The Wikibon community recently surveyed hundreds of large data enterprise users, and the study showed that in fact more than 70% of companies hired external professional services consultants to help them plan, deploy or run large data projects. These consultants are omnipotent, such as advising on technology investment, helping companies plan, deploy, and manage large data infrastructures and add large data technologies to existing infrastructure, systems, and business processes.

Achieving efficient delivery of solutions, avoiding new project risks, and achieving significant success factors in large data projects such as a significant return on investment requires the best and brightest consulting service experts. Therefore, I am proud of our existing large data consultancy business. Teradata The company recently announced the acquisition of the leading consulting services and solutions company feel big Analytics to enhance the level of large data consulting business, which makes me excited.

The Big Analytics provides a complete large data strategy and deployment service that focuses on helping businesses achieve real value from their data. And to help customers use the new open source technology, with the existing mature technology complement each other, to achieve large-scale enterprise data transformation, is teradata and the common vision of big. With the unique business needs of each customer, the analytics will provide a variety of open source technology solutions that are neutral to the vendor and recommend the best technology mix solution.

From open source large data technology such as Hadoop to HBase, Cassandra, MongoDB NoSQL database, to storm real-time event processing technology, feel big Analytics has demonstrated extraordinary consulting experience and deployment capabilities. In addition, the thought Big analytics employees have deployed Teradata and many other industry-leading data warehouses, with senior expertise and skills.

Teradata Company in project evaluation, strategic road map planning, efficient architecture design, data analysis and large data solution implementation with the help of the analytics of a variety of senior professional capabilities, to assist enterprises to achieve more value from the large data.

Teradata Company in nearly one months time has acquired three large data companies, highlighting its through the most advanced technology and tools and top professional support to help customers explore new value from the data of the solemn commitment.