Hadoop прийняття

Revisit – Hadoop 2.0 (YARN) Framework

Revisit – Hadoop 2.0 (YARN) Framework

Introduction Since the time when Big Data was introduced it has gone through multiple phases of evolution. Hadoop was introduced in 2005 with some initial features such as the MapReduce processing engine which allowed large scale data processing workloads distributed…

Big Data and Education Industry

Big Data and Education Industry

Огляд: Big data has been driving revolutionary changes in education. There hardly remains an area in education not impacted by big data. You can notice the changes in the ways educational institutions are governed, course quality is managed and student…

Великі характеристики даних та больові точки,en

Big Data characteristics and pain points

Overview Big data is based on three most important characteristics, known as volume, velocity and veracity. It comes in different forms and structure. Big data analytics is having significant impact in business decision. But it comes with some pain points.…

SQL on Hadoop – How does it work?

SQL on Hadoop – How does it work?

Огляд: SQL on Hadoop is a group of analytical application tools that combine the SQL-style querying and processing of data with the most recent Hadoop data framework elements. The emergence of SQL on Hadoop is an important development for big…

Want to know about Big Data myths?

Want to know about Big Data myths?

Overview Big data, data science, and big data analytics are perhaps some of the hottest terms in today’s technology world. But, at the same time there is a lot of misunderstanding and confusion about those terms. So people start thinking…

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