Trending Big Data Tools and Technologies
Big Data

Trending Big Data Tools and Technologies

Big data is the rapid expansion of structured, unstructured and semi-structured data generated mostly from internet-connected devices. Big Data helps companies to enhance operations and make faster, more intelligent decisions. The data collection is from a number of sources including applications, database, mobile devices, servers, etc. This data is stored, formatted and analyzed which helps the company to increase revenues and improve operations.

Big data is defined by volume, velocity, and variety. The main part of big data is that it is not restricted to a limited industry. These technologies can be used to access and interpret data across different industries such as Security, Banking, Healthcare and many more.

Big Data Tools You Need To Know :

Apache Hadoop – Apache Hadoop is One of the most popular and immensely distributed big data analytics tools. Hadoop offers massive storage for all kinds of data which can be either structured or unstructured. This framework runs in parallel on a cluster and has an ability to allow us to process data across all the nodes.

Apache Spark  Apache Spark is an open-source processing engine for Hadoop. Apache Spark is used for running large-scale data analytics applications across clustered computers. It can handle both batch real-time analytics and data processing workloads. It includes an extensive workload which is used for iterative, interactive and batch data computing.

MongoDB – MongoDB is built to tackle immense amounts of data with ease and it is famous because of its storage capacity and its role in the MEAN software stack. MongoDB is mainly used for its high scalability and presentation. MongoDB arrives as the perfect tool to store and analyze big data and develop the applications.

Apache Storm – Apache Storm is an open source distributed real-time computation system and it can be used with or without Hadoop. Any big data tools list is incomplete without Apache Storm. It is extremely easy to use and can be configured with any programming language that the end user is comfortable with.

Cassandra – Apache Cassandra is behind Facebook’s success as it allows to process structured data sets distributed across a huge number of nodes across the globe. It is Used by many industry players like Cisco, Netflix, Twitter and many more. Key benefits of Cassandra are its robustness, flexibility, scalability, and latency.

Kafka Kafka is open source, scalable and secure platform. It is a bridge between several open sources systems like Spark, NiFi and third-party tools. The conversation between the clients and the servers is very simple and it’s done with the language TCP protocol.