Big Data & Hadoop Solutions
Enterprises that leverage Big Data can become smarter about their customers, operations, and business environment. As volumes of business data continue to increase, organizations are rapidly adopting Hadoop to store, manage, and process Big Data for use in analytics, business intelligence (BI), and decision support. Experts believe that the size of Hadoop installations will grow significantly as companies incorporate new data sources and business applications into their Hadoop systems.
Business and Technology Challenges
Hadoop holds a great deal of promise for organizations, but as an emerging technology, challenges exist when using Hadoop for BI, analytics, and decision-making.
- Data integration is a time-consuming aspect of Hadoop. Many IT teams find it difficult to move large volumes of structured and unstructured information in and out of Hadoop in a high-performance way. Because Big Data is heterogeneous by nature, enterprises must find fast and cost-effective ways to move information from many different sources into the Hadoop system.
- Real-time analytics are hard to achieve with Hadoop. Although Hadoop can process large volumes of data quickly, the focus to date has been on batch analytics. Hadoop users have explored unstructured data to discover patterns or validate hypotheses. Although real-time analytics is an emerging area for Hadoop, transferring large volumes of data quickly has been a challenge for many enterprises.
How Attunity Can Help
Attunity has partnered with Hortonworks to deliver high performance solutions that move Big Data in and out of Apache Hadoop. This alliance will enable companies to access Big Data for analytics in both the cloud and enterprise data centers. By combining Hortonworks’ Apache Hadoop expertise and Attunity’s data integration technology, enterprises will be able to load massive amounts of structured and unstructured data to Hadoop.
Improving Business Efficiencies Using Operational Business Intelligence (BI)
Learn about the three critical building blocks towards implementing a lower cost, yet powerful operational BI plan to support faster, more informed decisions.