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Big Data Analytics with Hadoop

The slide presentation below, Big Data Analytics with Hadoop by Paris-based developer Philippe Julio, is one of the most popular talks for learning Hadoop on Slideshare.

MapR CEO Reveals 5 Big Data Predictions for 2016

How data is stored, analyzed and processed is transforming businesses. According to MapR Technologies’ CEO and Cofounder John Schroeder, the industry is in the midst of the biggest change in enterprise computing in decades.

Arcadia Data Takes On Outdated BI and Visualization Tools with New Enterprise Solution Built for Big Data

Arcadia Data, provider of a unified visual analytics and business intelligence (BI) platform for big data, announced the release of Arcadia Enterprise, a full-scale visual analytics and BI solution that runs natively in Hadoop.

Northern Trust Selects Cloudera to Enhance Enterprise Data Management

Northern Trust (NASDAQ:NTRS), a leading provider of wealth management, asset servicing, and asset management, has launched an award-winning technology infrastructure initiative based on technology from Cloudera, a leader in enterprise analytic data management powered by Apache Hadoop™.

Pepperdata Adds Comprehensive Chargeback Reporting to Effectively Measure the True Cost of Workloads Across Distributed Systems

Pepperdata, a leader in real-time cluster optimization, announced it is eliminating a significant hurdle for Hadoop to become an essential enterprise data platform by adding a chargeback feature to more effectively measure and allocate the costs of increasing workloads across distributed systems.

Infoworks Launches Dynamic Data Warehousing Platform on Hadoop

Infoworks, a pioneering company in automated big data management announced the launch of its Dynamic Data Warehousing (DDW) platform and a complete solution to data warehouse augmentation.

The Top 3 Big Data Trends of 2016

CEO of Algebraix Data, Charles Silver, discusses how along with the demand for data analysis skills has also emerged a variety of different ways of working with data, which will shape the Big Data landscape in 2016 and beyond. The article takes a look at the top three trends.

Altiscale Increases Performance and Reliability of Hadoop and Spark Platform with Updated Altiscale Data Cloud

Altiscale, Inc., a leading provider of Big Data-as-a-Service, introduced Altiscale Data Cloud 4.0, featuring major upgrades to core Hadoop components, such as HDFS and YARN, and an expanded Spark-as-a-Service offering that supports all major versions of Apache Spark.

Dell Hadoop Solutions for Big Data

In this special technology assessment report, Dell Hadoop Solutions for Big Data, the premise is to unlock business critical insights from data of any type and size. Data growth is exploding, and analyzing large datasets—Big Data —has become the next frontier for innovation, competition, and productivity. IDC estimates that in 2012 alone, the amount of data created and replicated surpassed 2.8 zettabytes. One forecast from IDC estimates that data will grow to an overwhelming 44 zettabytes by 2020.

When Hadoop Simply Isn’t Enough: How to Purpose-Build Architecture for Industrial Data

Hadoop, while beneficial in many IT environments, unfortunately, will not work with the massive amounts of data generated in most industrial environments. This contributed article by Alex Clark, founder and Chief Software Architect at Bit Stew Systems, asks what if we remove this from our industrial planning, what does the future industrial data architecture look like?