Posts

Top 10 Hadoop Tools to Make Your Big Data Journey Easy [2021]

  Data is quite crucial in today’s world, and with a growing amount of data, it is quite tough to manage it all. A large amount of data is termed as Big Data. Big Data includes all the unstructured and structured data, which needs to be processed and stored. Hadoop is an open-source distributed processing framework, which is the key to step into the Big Data ecosystem, thus has a   good scope in the future. With Hadoop, one can efficiently perform advanced analytics, which does include predictive analytics, data mining, and machine learning applications. Every framework needs a couple of tools to work correctly, and today we are here with some of the hadoop tools, which can make your journey to Big Data quite easy.know more hadoop online training Top 10 Hadoop Tools You Should Master 1) HDFS Hadoop Distributed File System, which is commonly known as HDFS is designed to store a large amount of data, hence is quite a lot more efficient than the NTFS (New Type File System) and FAT32 File
Post a Comment
Read more

Column Stores and Hadoop

  Switching gears a bit from the NoSQL to the Hadoop world ... here's a quick preview of some work we did on storage organization on Hadoop. We started this work to investigate how a columnar storage layer could be implemented for Hadoop and if it would lead to any insights that weren't already known in the context of parallel DBMSs. It turned up some pretty interesting results. Get more information  hadoop online course  First, we built an InputFormat/OutputFormat pair on Hadoop v-0.21 that uses some of the new APIs for a pluggable BlockPlacementPolicy. We gave it a rather inventive name -- CIF and COF-- for ColumnInputFormat and ColumnOutputFormat :-) Instead of using a  PAX -like layout with RCFile, CIF lets you you true columnar storage where each column is stored in a separate file. As one would expect, when you scan only a small number of columns from a much wider dataset, CIF eliminates the I/O for the unnecessary columns and improves your map-phase performance compared
1 comment
Read more