BigInsights BigIntegrate and BigQuality offer a cost-effective opportunity to fully leverage the scale and promise of Hadoop. Here are 10 ways BigIntegrate and BigQuality are making it easier for organizations to harness the power of their entire data ecosystems.
Apache Spark is a next-generation, cluster-computing, runtime processing environment and development framework for in-memory advanced analytics. This presentation provides a crisp, ten-point summary of what every data analytics professional should know about Spark.
IBM invited developers and data enthusiasts to take a deep dive into real world civic issues using big data and IBM Bluemix's analytics for Hadoop service. They analyzed one of our curated datasets or brought their own and used Hadoop to create clickable and interactive data visualizations
This 2013 IBM Institute for Business Value study surveyed 900 businesses and IT executives from 70 countries, asking more than 50 questions. The questions were designed to reveal how to translate high-level concepts associated with delivering exceptional business value through analytics into
Hadoop is a great technology for analyzing huge amounts of data. Hadoop can be hard to use. Big SQL brings the power of SQL to Hadoop. It lets you leverage your SQL skills and your JDBC and ODBC applications with data stored in HDFS and HBase.
IBM Big SQL Technology Preview program provides an easy convenient way to get familiar with SQL for Hadoop technology. With nothing more than a web browser you will be running SQL queries against real Hadoop cluster.
Production-ready big data = Big data deployment that is prepared for delivery into a production IT environment. When preparing data, there are five things to keep in mind to help realize the full operational potential of big data. This presentation is based on a blog by Big Data Evangelist James