SQL is supported by a set of standards and is implemented differently by each database vendor. SQL is different based on whether you are using MySQL, DB2, Oracle of other tools. Those who have expertise in SQL can adapt to any database model. This has made SQL training in Chennai popular. Many often are on crossroads whether to use SQL or not. The paradigm of database has changed and newer technologies like Document Database, No SQL, Graph Databases, Columnar Databases, Spark, Hadoop and other platforms are featuring. They work well for different uses and not just traditional RDBMSs.
In 1999 with a leap in Big Data IT professionals depended on SQL for their day to day business activities. Today there are many platforms available to make the most of Big Data. Some now the big question is, do you need to depend on SQL or take advantage of languages like Scala, R, Java or Python? Ofcourse, there are tools like Impala and Hive that make the most of your SQL skills and gives you access to Hadoop platforms and Data Lakes. But when it comes to Hives there are some limitations. Here only defined data functions can be implemented supported by SQL. The other alternative is to use Data Defined Functions.
Despite the rise of new technologies, one cannot completely do away with SQL. No matter what, the structured data systems exist, like ERP and CRM that will always require structured data warehouses. So you cannot discount SQL wholly. In the modern world sophisticated automated optimized solutions have taken over and people have stopped taking the usual route. Yet most of database specialists prefer to try systems and databases claiming SQL support in one way or another. For instance to built Data Vault Snowflake is required and this is supported by ANSI SQL Cloud Data Warehousing system making one realize SQL skills are crucial and is still in vogue.
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