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HBASE Vs. RDBMS Top Differences You can Unlock Now

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HBASE in the Big data context has a lot of benefits over RDBMS. The listed differences below make you understandable why HBASE is popular in Hadoop (or Bigdata) platform. Let us check one by one quickly. HBASE Vs. RDBMS Differences Random Accessing HBase handles a large amount of data that is store in a distributed manner in the column-oriented format while RDBMS is systematic storage of a database that cannot support a random manner for accessing the database. Database Rules RDBMS strictly follow Codd's 12 rules with fixed schemas and row-oriented manner of database and also follow ACID properties. HBase follows BASE properties and implement complex queries. Secondary indexes, complex inner and outer joins, count, sum, sort, group, and data of page and table can easily be accessible by RDBMS. Storage From small to medium storage application there is the use of RDBMS that provide the solution with MySQL and PostgreSQL whose size increase with concurrency and performance.  Codd'

Skills needed for NoSQL Data engineer

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The following Skills are needed to become successful NoSQL data engineer. NoSQL Skills Skills You Need to Become NoSQL Developer 3 + years of practical experience with distributed data analysis systems using parallel processes such as Hadoop. Experience working with batch processing/ real-time systems using various open source technologies like Solr, Hadoop, NoSQL, Spark, Hive, etc. Knowledgeable about data modeling, data access, and data storage techniques Experience in Linux or similar system is preferred Experience on MySQL, NoSQL and storage software is a plus Check here... NoSQL jobs skills and experience required Related:   NoSQL Interview Questions