How To Choose Architectural Patterns In Hadoop For Successful Deployments

How To Choose Architectural Patterns In Hadoop For Successful Deployments

Deciding upon best architectural component for your use case is most difficult task that makes any production deployment worst or successful.

[ read more ]

Why Does Apache Spark – Hadoop Integration Matters

Why Does Apache Spark – Hadoop Integration Matters

The innovation of Apache Spark is regarded as the most significant turning point in the domain of Big Data and has been embraced by most of the firms all over the world with a substantial amount of success as well as impact.

[ read more ]

New Cloudera Data Platform with Fresh Vision, Migration and Roadmap

New Cloudera Data Platform with Fresh Vision, Migration and Roadmap

Cloudera has been constantly formulating plans for a brand-new consolidated data platform after merging with its peer rival big data open source vendor Hortonworks, that absolutely ensures to model collectively the soundest of the HDP (Hortonworks Data Platform) and CDH (Cloudera Distribution Hadoop) benefits.

[ read more ]

Why MapR Is Attempting To Move Out Of Hadoop's Cocoon?

Why MapR Is Attempting To Move Out Of Hadoop's Cocoon?

With the recent announcement of prominent Hadoop vendors Hortonworks and Cloudera, concerns associated with the Hadoop’s future resurged in the tech world.

[ read more ]

Scalable Analytics: Is the End of Hadoop Near?

Scalable Analytics: Is the End of Hadoop Near?

In 2015, technology analyst firm Gartner removed 'big data' from its Hype Cycle for Emerging Technologies report. The media was quick to jump onto this and report that Big Data is dead, but really, it's just become the new norm.

[ read more ]

Learn Apache Hive installation on Ubuntu Linux (14.04 LTS)

Learn Apache Hive installation on Ubuntu Linux (14.04 LTS)

Tip to install Apache Hive on ubuntu linux - 14.04-LTS in your system, step by step process by E-learning.

[ read more ]

Grabbing Data Integration Success Through Hadoop Integration

Grabbing Data Integration Success Through Hadoop Integration

Data integration has been a tough job for organization as they struggled with not so satisfying performance and scalability shortcoming, pushing for a transformation from extract transform load (ETL) to extract load transform (ELT).

[ read more ]

12