Big Data is becoming increasingly more complex, making the task of analysts and data scientists more difficult. Each time data is integrated, added, enriched, or transformed the results of the analysis can change. Traditional data analysis visualization products enabled analysts and data scientists to only visualize the final results. Any changes that had to be made had to wait until this stage – consuming precious resources and taking up valuable time.
Microsoft CEO Satya Nadella launched SQL Server 2014, the newest version of widely deployed database, and outlined the company’s path to deliver a platform for ambient intelligence. He stressed the importance of a data culture benefitting everyone and every organization.
MongoDB announced the general availability of MongoDB 2.6, the newest release of the database that defines the standard in modern application development. The company said in a statement that the release builds on five years of innovation and hundreds of thousands of deployments to simplify provisioning and operating MongoDB deployments.
Enterprises using Hadoop databases and distributions need to ensure that their data is secure even when they link the database to analytics and BI applications. They also need a means to address compatibility issues when linking their databases to analytics. Now, Zettaset and Simba have announced a pact that addresses these concerns.
Hortonworks, provider of enterprise Apache Hadoop, recently announced a strategic partnership with LucidWorks, the company transforming the way people access information, to enable Hortonworks users to access and analyse their data via Solr.
Enterprises now have a great deal of data from various sources that they can turn to when they need critical business intelligence. However, the problem arises when the data is stored across various systems and analyzed using different analytic frameworks. Teradata, the industry leader in data analysis, has now launched its Teradata QueryGrid that optimizes data analytics across an enterprise.
Big Data as the name indicates is a collection of huge amount of unstructured data which cannot be processed by the traditional database tools available. The analysis of this kind of data becomes necessary in some cases such as scientific, telecom or defence analysis to gain knowledge about some unknown patterns and relations.
Data Analytics has become the key to business growth in today’s world. Gartner predicts, the customer experience market will be a $20.6 billion industry this year almost doubling to a $36 billion market in 2017 with a compound annual growth rate of 15.1 percent. Gartner also mentions, despite this explosive growth and the recognized need for customer facing business processes to become more data-driven, there remains a substantial shortfall in the ability to implement the tools capable of deriving deep and actionable insights.
Intel has become the largest equity investor in Cloudera and both companies have entered into a pact for technological and business collaboration. With this deal Cloudera’s Apache Hadoop analytic data management will join with Intel Xeon’s data center architecture, bring a superior product for enterprise customers.
Analysing big data and taking action on the valuable insights is being done by most of the businesses. This has proved to be advantageous to them across different sectors. Wipro has commissioned Economic Intelligence Unit to study the effects of Big Data Analytics on Retailers.