The era of big data is here. Multi-petabyte data warehouses, social media interactions, real-time data feeds from sensors, geospatial information and other new data sources, not only confront organizations challenges but also opportunities. More and more companies are therefore already begun to formulate their big data strategy or already presenting their first big data success…
Hadoop for many is synonymous with big data. Hadoop is not an application but a set of open source multi-tools with the ultimate goal is to analyze volumes of structured and unstructured data. The research firm IDC conducted a study to know how the companies were cohabiting big data analysis systems like Open Source Hadoop…
Blending Big Data analytics-enabling technology into the company’s database offering, IBM revealed the availability of IBM DB2 10.5 with a set of acceleration technologies called BLU Acceleration. BLU has significant benefits for the analytic and reporting workloads and can make database management system better suited for running large in-memory data analysis jobs. BLU Acceleration is…
Apache Hadoop is a distributed parallel processing technology, which is applied in the various industry verticals to perform large-scale data analysis. Most data collected by organizations contains unstructured data. Using Hadoop-based tools, organization can analyze real-time data such as audio, video, email, and machine-generated data from a multitude of sensors and data from external sources…
Big Data is in. There is a huge demand not only for Big Data Scientists but for Big Data Analysts as well. While a big data scientist needs various capabilities and skills to analyze and mash up various data sources, a big data analyst on the other hand performs data analysis on a particular system…