Hadoop came as a solution to a problem of the digital world. The basic idea for the solution came to Google. Then the Hadoop was born.
Apache Pig and Apache Hive are two commonly used data processing components of the Big Data ecosystem. Knowing the differences between these components will help in choosing the right tool to do the job at hand.
Want to learn Hadoop but don’t know Java? No problem. This post makes it super easy for Java beginners to kick-start their Hadoop journey.
Apache Flume is a distributed and reliable system for collection of high throughput data and storing to Hadoop storage. Learn the basics of Apache Flume at UpX academy.
The Hadoop story is far from over and is being written every day. A revolution is taking the world by storm, and it continues to do so for the near future. Additions are made in Hadoop, and it constantly evolves, every day becoming the most coveted tool of the 21st century.
Big Data has penetrated the term ‘NoSQL’ in the database management system. Earlier, Database Management System only included MySQL, and it was highly used for storing homogeneous data.
“Big Data Analytics, Data Science and Big Data classes soon! Sign up to learn the next big technologies! “Does this ad seem to be familiar to you? Whether you’re a techie or not, don’t you come across these terms
We are in the midst of yet another US Presidential election 2016. Let us find out how Data Analytics affects the US Presidential election.
Learn all about Apache Sqoop at Upxacademy. Apache Sqoop is a general purpose tool used to transfer data from traditional databases to HDFS and vice-versa. These import and export jobs can be automated by scheduling them through Apache Oozie
A Hadoop cluster is a reservoir of heterogeneous, data both structured and unstructured coming from a variety of sources. Apache Hive is a data warehouse tool that can easily crunch petabytes of data and works well for interactive SQL