Overview – NoSQL stands for Not only SQL, which means a database with some extended features of RDBMS. Today databases like NoSQL are gaining popularity in the enterprise. One of the most known examples of NoSQL database is MongoDB. Its…
Open source databases and their popularity
Overview: In today’s world, organizations have a variety of options for databases. In earlier days, most of the database management systems (DBMS) were closed sources. So the options were limited. But now, with the introduction of open source databases, industry…
Graph Database and Data Driven Applications
Overview Modern-day data-driven applications are largely dependent on relevant insights derived from the enormous volumes of data they handle every day. To gain better insights every time, the applications need to be able to send complex queries and the database…
SQL on Hadoop – How does it work?
Overview: SQL on Hadoop is a group of analytical application tools that combine the SQL-style querying and processing of data with the most recent Hadoop data framework elements. The emergence of SQL on Hadoop is an important development for big…
Tips And Tricks For MongoDB Developers
Overview This particular section is mainly involved in discussing the 15 best tips and tricks for the MongoDB developers. Hope the following tips will help you understand it and follow in your project. Tip 1: Duplicate The Data For Speed,…
Exploring HBase NoSQL DB
Overview: Apache HBase is one of the most popular non-relational databases built on top of Hadoop and HDFS (Hadoop Distributed File system). It is also known as Hadoop database. As an Apache project, HBase is an open-source, versioned and distributed…
Where NoSQL Key-Value databases are the best fit?
NoSQL key-value databases are simple and powerful to support large applications. They support the requirements of extreme web applications, which are scalability, performance, availability, and security. NoSQL is a database platform consists of different database technologies. NoSQL is developed to address the…
Role of NoSQL DB in future data management strategy
NoSQL DB is the best solution for supporting complex, unpredictable, and large volumes of data sets. It is highly scalable and solves most of the complex data problems. The current adoption of NoSQL DB is almost 20%, a figure that is…
How to create your first HIVE script?
Overview: Apache Hive is an integral part of Hadoop eco-system. Hive can be defined as a data warehouse like software which facilitates query and large data management on HDFS (Hadoop distributed file system). One must remember that Hive is not…
What is Apache HBase and when should you use it?
Overview: Apache HBase can be defined as the Hadoop database. It is a distributed, non-relational and open source database written in Java. It is developed based on the Google BigTable framework and runs on HDFS (Hadoop distributed file system). Apache…
How NoSQL integrates with Hadoop eco-system?
Apache Hadoop is an open source big data processing platform. It has its own eco-system products to support various needs. Different big data products/platforms can integrate Hadoop and NoSQL into one platform so it provides better performance and a single source of…
How NoSQL fills the gaps in traditional RDBMS?
NoSQL database can be of different categories like key-value database, document database, or graph database. NoSQL database is an independent category which fills the gaps found in traditional RDBMS. In addition, NoSQL database is considered a specialized database to support complex business…
Introduction to NoSQL Database
Overview: NoSQL database is the buzzword in the current software industry. NoSQL database is also widely accepted, but it is NOT a replacement for the traditional relational database management system (RDBMS), which stores data in relational tables. So we can…