Big data keeps growing by the minute. The exponential growth in the number of connected devices fuels the demand for faster handling of large volumes of structured and unstructured data from these devices. The future of big data and analytics supported by Hortonworks allows organizations across industries to instantly mine these data stores for machine learning and other real time applications.
Read how the future of data analytics and storage can transform retailers’ capabilities to handle growing customer data and with quantifiable advantages - the ability to drive more revenue, better margins, and greater consumer loyalty.
Data is the future. Businesses need the best strategies to collect, manage and process volumes of customer data from a variety of channels to have the competitive advantage. Learn how Hortonworks supports the future of big data, analytics and storage to transform your business by building efficiencies and delivering real-time actionable intelligence.
数据技术和服务市场如今的增长率是整个信息技术市场增长率的 6 倍。
of businesses consider data and analytics to be “vital” to the running of their organizations, with a further 29% deeming it “very important"
Hortonworks and EMC powering the future...
Today our guest blogger is Keith Manthey, CTO from EMC. As part of my job, I regularly meet with clients around their Apache Hadoop journey. I often meet executives after...
Whether it’s trying to remain relevant by servicing customers digitally through multiple channels, identifying new predictive variables to assess risk or seeking profitable growth, the insurance industry is under...
In today’s world, every business is a data business. Without the insights from data, companies risk being left behind by their competitors. Technology continues to advance at an ever-increasing pace,...
We are excited to make two big product announcements: The General Availability of HDP 2.6.3, Ambari 2.6.0 and SmartSense 1.4.3; The first release of the Hortonworks DataPlane Service (DPS) that includes Data...
To realize the full potential of Modern Data Applications, organizations need to be able to capture both rich, historical insights on data-at-rest and perishable insights from data-in-motion. While flow management...
This blog has contributions from: Vinod Vavilapalli, Wangda Tan, Gour Saha, Priyanka Nagwekar, Sunil Govindan You have probably wondered what makes a self-driving car intelligent to process the live camera...
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