Apache Mahout is moving on from MapReduce
Apache Mahout, a machine learning library for Hadoop since 2009, is joining the exodus away from MapReduce. The project’s community has decided to rework Mahout to support the increasingly popular Apache Spark in-memory data-processing framework, as well as the H2O engine for ...
How-to Implement Role-based Security in Impala using Apache Sentry
Apache Sentry (incubating) is the Apache Hadoop ecosystem tool for role-based access control (RBAC). In this how-to, I will demonstrate how to implement Sentry for RBAC in Impala. I feel this introduction is best motivated by a use case.
Data warehouse ...
Hadoop and NoSQL Now Data Warehouse-Worthy-Gartner
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. ...
Why Apache Spark is a Crossover Hit for Data Scientists
Spark is a compelling multi-purpose platform for use cases that span investigative, as well as operational, analytics.
Data science is a broad church. I am a data scientist — or so I’ve been told — but what I do is actually ...
Apache Hadoop 2.3.0 was released
Hadoop-2.3.0 is the first release for the year 2014, and brings a number of enhancements to the core platform, in particular to HDFS. There are a lot of bug fixes and small changes in this one - you can read ...
SQL is what’s next for Hadoop
Today all the companies are trying to let users run SQL queries from inside Hadoop as it is open-source software framework. Companies are using Hive and HiveQL languages in Hadoop implementation but Hive is mainly depends on MapReduce. Business intelligence ...
Anatomy of a MapReduce Job
Hadoop Ecosystem and MapReduce
There is an extensive list of products and projects that either extend Hadoop’s functionality or expose some existing capability in new ways. For example, executing SQL-like queries on top of Hadoop has spwaned several products. Facebook started ...
7 Tips to Succeed with Big Data in 2014
Information from Tableau Software
What a year 2013 was for big data. From the White House to your house, it’s hard to find an organisation or consumer who has less data today than a year ago. Database options proliferate, and business ...
6 reasons your Big Data Hadoop project will fail in 2026
Ok so Hadoop is the bomb, Hadoop is the schizzle, Hadoop is here to solve world hunger and all problems. Now I've talked before about some of the challenges around Hadoop for enterprises but here are six reasons that Information Week ...
Neo4j, A Graph Database For Building Recommendation Engines, Gets A Visual Overhaul
Part of the problem with any powerful technology is how it is perceived. It might be something that is too early for its time or it may just need those years of development and use for the market to catch ...