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Top 5 Technologies to Build Real-Time Data Pipeline

Blog: Indium Software - Big Data

Gone are the days when businesses could process their data once a week or once a month to see past trends and predict the future. As data becomes more and more accessible, the need to draw inferences and create strategies based on current trends have become essential for survival and growth.

It is no more only about data processing and creating data pipelines, it is about doing it in real-time. This has created a need for technologies that can handle streaming data and enable a smooth, automated flow of information from input to output as needed by different business users. This growing demand is reflected in the fast-growing demand for Big Data technologies, which is expected to grow from 36.8 billion in 2018 to 104.3 billion in 2026 at a CAGR of 14 %, according to Fortune Business Insights.

Features of a Streaming Data Pipeline

The key elements for a good pipeline system are:

To make it cost-effective and meet the organizational needs, the Big Data pipeline system must include the following features:

Tools for Data Pipeline in Real-Time

There are several tools available today for creating a data pipeline in real-time, collecting, analyzing and storing several millions of pieces of information for creating applications, analytics, and reporting.

We at Indium Software, with expertise and experience in Big Data technologies, recommend the following 5 tools to build real-time data pipeline:

In addition to being used for batch applications and real-time, Kafka helps integrate with REST, files and JDBC, the non-event-streaming paradigm for communication. Kafka’s reliable messaging and processing with high availability makes it apt for small datasets such as bank transactions. The other two critical features, zero data loss and exactly once semantics, makes this ideal for real-time data pipeline creation along with streaming data manipulation capabilities. On-the-fly processing is made possible with Apache Kafka’s Streams API, a powerful, lightweight library.

Indium has successfully deployed these technologies for its various data engineering projects for its customers across different industries, including banking, mobile app development and much more.

We have the experience and expertise to work on the latest data engineering technologies to provide the speed, accuracy and security that you desire for building data pipelines in real-time. Contact us for your streaming data engineering needs.

The post Top 5 Technologies to Build Real-Time Data Pipeline appeared first on Indium Software.

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