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  Introduction                NewSQL is more specific than NoSQL. Relational data and the SQL query language are the foundations of NewSQL systems. They want to address the  NoSQL  movement’s scalability, flexibility, and lack of focus difficulties. More consistency is provided with the new SQL. Within this category, however, there are a few differences. HANA was a robust business reporting platform that could also handle low transactional demand, making it perfect for SAP deployments. Hekaton adds enhanced memory processing to the more typical MS SQL Server. Both systems are currently non-clustering and are designed to quickly replace or supplement SQL deployments.                Suppose you have gigabytes to terabytes of data that require high-speed transactional access. You may have an input stream, such as sensors, mobile phones, or network access points, and you will r...

                 HBase is an open-source non-relational, scalable, distributed database written in Java. It is developed as a part of the Hadoop ecosystem and runs on top of HDFS. It provides random real-time read and write access to the given data. It is possible to write NoSQL queries to get the results using APIs. In fact, it is modelled on the basis of Google’s Big Table. Introduction to HBase             HBase is a database for storing and retrieving data with random access. In other words, we can write data as per our requirements and read it back again as needed. HBase works well with both structured and semi-structured data. This means storing structured data like relational tables and semi-structured data like tweets or log files together is possible. If the data is not large, HBase can also handle unstructured data. It supports various data types; has a dynamic and flexible  dat...

    Introduction                In this article, I will attempt to explain all of the ideas that you should be familiar with about databases. As we all know, while working on a Data Science, Machine Learning, Deep Learning, or another project, the most important element is the data, which is considered to be the fuel for all of the Machine or Deep Learning algorithms.                So, while working on real-time projects, we have to focus upon our database, and we have to check it is centralized or not, if it includes corrupt data or not, because corrupted data may cause redundancy in your entire database also it can give the inconsistent results when we put input user query, etc.                So, knowing all these basics of a database becomes critical before studying Data Science, and also  helpful to become a Data Scientist or Machine...

  Introduction to My SQL:                              Nowadays data is growing exponentially in this world. But we need a way to store, process, and use this data efficiently in the future. This led to the evolution of Databases.  Databases  are used to manage the data that we are acquiring from our concerning sources we need an efficient data management system.  A database is an organized way of collecting structured information. So, the databases is useful in structuring and storing the data in an organized way, and then our task is to retrieve, process, and manage this data for further use this makes the evolution of DBMS (Database management System ) a DBMS is a software system that can be useful for Accessing, Modifying, and Managing the data stored in the Database. A Database is a collection of logically related data and meta data, designed to meet the info...