Apache Spark-3 Real-World Use Cases
By Alex Woodie
The Hadoop processing engine Spark has risen to become one of the hottest big data technologies in a short amount of time. And while Spark has been a Top-Level Project at the Apache Software Foundation for barely a ...
Avoiding Split Brainedness in HA Hadoop Clusters
The US Patent Office recently granted Zettaset a patent for the underlying technology in its Hadoop high availability that prevents a "split-brain" situation where multiple master nodes think they're in control of the Hadoop cluster. It's a feather in the ...
Big Workflow-The Future of Big Data Computing
How can organizations embrace — instead of brace for — the rapidly intensifying collision of public and private clouds, HPC environments and Big Data? The current go-to solution for many organizations is to run these technology assets in siloed, specialized ...
Hadoop YARN adds more application threads for big data users
Even Hadoop's most enthusiastic proponents might admit that its marriage to MapReduce has limited what the open source technology can do. But with the advent of Hadoop 2 and its key component, the Hadoop YARN resource manager, the distributed processing ...
How to use Cassandra CQL in your Java Application
Cassandra Query Language (CQL) is a SQL (Structured Query Language)-like language for querying Cassandra. Cassandra's data model is a partitioned row store with tunable consistency. Rows are organized into tables; the first component of a table's primary key is the ...
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 ...
Data transfer between MySql and Cassandra using Sqoop
Sqoop is a tool designed to transfer data between Hadoop and relational databases. You can use Sqoop to import data from a relational database management system (RDBMS) such as MySQL or Oracle into the Hadoop Distributed File System (HDFS), transform ...
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 ...
How MapR’s M7 Platform Improves NoSQL and Hadoop
The M7 Edition. Sounds like a high performance sports car, doesn’t it? In reality, M7 is MapR’s enterprise-grade platform that provides its own unique brand of high-performance, dependability and ease of use to both NoSQL and Hadoop applications. M7 removes ...