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Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

Related Posts How to write multiple IF-conditions in Python Simplified

HBASE: Top Features in Storing Big data

In this post explained top features added in HBase to handle the data. The Java implementation of Google's Big Table you can call it as HBASE.  In HBase, the data store as two parts.


hadoop hbase

Row Key : 00001 
Column : (Column Qualifier:Version:Value)       

Features of HBASE

  • HBase data stores consist of one or more tables, which are indexed by row keys.
  • Data is stored in rows with columns, and rows can have multiple versions.
  • By default, data versioning for rows is implemented with time stamps.
  • Columns are grouped into column families, which must be defined upfront during table creation. Column families are stored together on disk, which is why HBase is referred to as a column-oriented datastore
New features of HBASE check now

In addition...

HBase is a distributed data store, which leverages a network-attached cluster of low-cost commodity servers to store and persist data.HBase architecture is a little trick to know.

Region Servers...

RegionServers are the software processes (often called daemons) you activate to store and retrieve data in HBase.

The big difference...

  • HABSE handles growing data or big data. HBase automatically scales as you add data to the system. A huge benefit compared to most database management systems, which require manual intervention to scale the overall system beyond a single server. 
  • With HBase, as long as you have in the rack another spare server that's configured, scaling is automatic.

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