3 Tips for Optimizing Big Data Analytics

Every year, the amount and type of data companies must manage increases. Commonly called Big Data, this information—everything from social media posts, audio and images to transaction records, sensor data and video—continues growing unabated. According to IDC, data is growing ...

The Top 5 Hadoop Distributions

A new report by Forrester Research’s big data analysts says that adopting Hadoop is “mandatory” for any organization that wishes to do advanced analytics and get actionable insights on their data. Forrester estimates that between 60% and 73% of data that ...

FlyElephant starts to support R, Python and public API

Starting from October 31, 2015 FlyElephant supports R, Python and public API for the participants of its beta testing program. FlyElephant is the Platform-as-a-Service for scientists analyzing data and making simulations of different processes. Elastic multi-core systems, HPC and GPU clusters, software, ...

Things You Should Know About Big Data

People using Big Data need to know certain things about it, especially the technologies and architecture. Understanding the biggest challenges while implementing the processes related to Big Data in their storage environments. After its arrival on the scenario, for some times ...

MapR 5.0 Hadoop supports real-time applications

With a focus on real-time applications, MapR Technologies took the wraps off the 5.0 version of its Hadoop distribution. "Eighteen percent of our customers have 50 or more applications running on a single cluster," says Jack Norris, chief marketing officer ...

Apache Parquet paves the way for better Hadoop data storage

Apache Parquet, which provides columnar storage in Hadoop, is now a top-level Apache Software Foundation (ASF)-sponsored project, paving the way for its more advanced use in the Hadoop ecosystem. Already adopted by Netflix and Twitter, Parquet began in 2013 as a ...