Pivotal Brings In-Memory Analysis To Hadoop
Pivotal, the EMC spin-off company pursuing modern application development in the context of cloud computing and big-data analysis, on Monday released Pivotal HD 2.0, an update of its Hadoop distribution incorporating an in-memory database and a battery of new analysis ...
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. ...
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 ...
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 ...
Top 12 funded Big Data Startup companies
Big data companies are attracting big investments from venture capitalists. But which startups are garnering the most funding? Venture capitalists made more big data investments than ever before in 2012, and a few more deals have already closed in 2013. ...
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 ...