AWSBig Data

Unlocking the Potential: Kafka Streaming Integration with Apache Spark

In today’s fast-paced digital landscape, businesses thrive or falter based on their ability to harness and make sense of data in real time. Apache Kafka, an open-source distributed event streaming platform, has emerged as a pivotal tool for organizations aiming to excel in the world of data-driven decision-making.In this blog post, we’ll be Implementing Apache […]

Ashish Gupta
Ashish Gupta
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Big Data

Amazon Redshift: A Comprehensive Overview

Introduction In today’s data-centric world, making informed decisions is vital for businesses. To support this, Amazon Web Services (AWS) offers a robust data warehousing solution known as Amazon Redshift. Redshift is designed to help organizations efficiently manage and analyze their data, providing valuable insights for strategic decisions. In this blog post, we will delve into […]

Shubham Thakur
Shubham Thakur
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Big DataData & Analytics

Efficient Data Migration from MongoDB to S3 using PySpark

Data migration is a crucial process for modern organizations looking to harness the power of cloud-based storage and processing. The blog will examine the procedure for transferring information from MongoDB, a well-known NoSQL database, to Amazon S3, an elastic cloud storage solution leveraging PySpark. Moreover, we will focus on handling migrations based on timestamps to […]

Big DataData & AnalyticsDigital Engineering

Spark Structured Streaming

In this blog, I will discuss how Spark structured streaming works and how we can process data as a continuous stream of data. Before we discuss this in detail, let’s try to understand stream processing. In layman’s terms, stream processing is the processing of data in motion or computing data directly as it is produced […]

Big Data

No Code Data Ingestion Framework Using Apache-Flink 

The conveyance of data from many sources to a storage medium where it may be accessed, utilized, and analyzed by an organization is known as data ingestion. Typically, the destination is a data warehouse, data mart, database, or document storage. Sources can include RDBMS such as MySQL, Oracle, and Postgres. The data ingestion layer serves […]

Big DataProduct EngineeringSoftware development

5 Considerations For Building Data Driven Applications

Innovation is at the center of application development. A lot of established companies as well as startups are investing big money in product ideas that have the potential to solve business challenges. While traditional applications are still in place, new age SaaS companies are developing amazing applications for web and mobile keeping data analytics at the […]

AWSBig DataDevOps

What is Amazon Redshift and why you should definitely use it?

So you have spent some odd years of your software development career and now you know many of those RDBMS implementations in and out. In fact, you also already know that RDBMS is not the only enterprise storage and due to frequent scalability issues you encountered, someday you found about Big Data tools. Chances are […]

Ajay Sharma
Ajay Sharma
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Big DataTechnology

DataSafe – A Data Archival Tool

#fame is India’s first (and now the biggest) live-streaming app on IOS and Android platforms. This app allows people to create their own beam and go live immediately, or book a slot for future. As time passed, the operational databases of #fame kept on increasing at a great speed. As a result, the disk space […]

Rohan Kalra
Rohan Kalra
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Big Data

Prediction Analysis using Knime

Prediction Analysis is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. There are various analytic and machine learning tool available in the market for predictive analysis. This post includes introduction of Knime followed by a sample use case of clustering using Knime and […]