Popular Articles

Top 15 Certifications to Become a Certified Data Scientist

July 29th, 2021 By Arsalan Mohammed in Data Strategy

Data Science is a budding technology with a vast scope and is growing at a very fast pace. It is a field that utilizes various technologies and tools to work…

Setting up Debezium MongoDB Connector: 3 Critical Aspects

January 28th, 2022 By Manjiri Gaikwad in Data Integration, MongoDB

Databases are the backbone of all applications in the digital world. Therefore, it is essential to record every minor update to databases for further using the information to build mission-critical…

GitLab Pipeline APIs & Triggers: Made Easy 101

May 27th, 2022 By Manisha Jena in Data Engineering, Data Pipeline

In this modern and advanced technical world, the demand for Continuous Integration and Development (CI/CD) in day-to-day business operations has increased. Businesses have increased their dependency on various  DevOps tools…

Leveraging KStreams to Efficiently Stream Your Data: Made Easy 101

January 17th, 2022 By Shubhnoor Gill in Data Strategy

When dealing with big data, Kafka messaging can give a considerable communication and scalability advantage over traditional communication techniques. Apache Kafka provides a unique ability to publish, subscribe, store, and…

What Is Data Integration: Key Concepts, Types & Best Practices

September 23rd, 2021 By Amit Phaujdar in Data Integration

The availability of complete and high-quality data holds the power to positively impact any organization's decision-making process. However, data remains siloed away in multiple locations for many businesses worldwide. Applying…

Databricks Connect to Oracle Database: 2 Easy Methods

June 15th, 2022 By Amit Phaujdar in Data Integration

Oracle has established itself as one of the largest vendors of RDBMS (Relational Database Management System) in the IT market since its inception. The query language that can be used…

Moving Data from MariaDB to SQL Server Using 6 Easy Methods

May 9th, 2023 By Davor DSouza in Data Integration, SQL Server

Many things change when you change the database, including your business and technical infrastructure. The primary reasons for database migration, for instance MariaDB to SQL server, are improved performance, adoption…

ETL Data Warehouses: The Ultimate Guide

November 2nd, 2021 By Aditya Jadon in Data Integration, ETL

It is a common practice for most modern businesses to use data-driven decisions to grow in a competitive environment. Businesses have access to huge amounts of data generated by their…

How to Install Debezium?: 3 Easy Ways

March 1st, 2022 By Manjiri Gaikwad in Data Strategy

Debezium is a Change Data Capture (CDC) approach used to replicate data between databases in real-time. It tracks every data change event like insert, update, delete on databases and makes…

Top 10 Airbyte Alternatives & Competitors for 2025

July 21st, 2022 By Sanchit Agarwal in Data Strategy

While Airbyte is a popular Open-Source ELT Tool, it has its share of shortcomings. To ease out the selection process for you, we have prepared a list of Top 10…

Connect GitHub to Looker: An Easy to Follow Guide

July 24th, 2020 By Pratik Dwivedi in Data Integration, Looker Studio

Introduction Integrating GitHub with Looker enables organizations to gain powerful insights into their development workflows, project management, and code repositories. By connecting GitHub data to Looker, teams can create customized…

Connecting GitHub to Metabase: A Comprehensive Guide

July 14th, 2020 By Ofem Eteng in Data Integration

The purpose of this article is to help you understand how to connect GitHub to Metabase. To do that, you will first be introduced to the concept of data analytics,…

What are Data Ingestion Types?[+ Definition, types, and Challenges]

May 9th, 2022 By Ishwarya M in Data Ingestion, Data Strategy

In the modern era, businesses are undergoing a significant transformation in which business operations are becoming increasingly data-intensive. Companies gather data from various sources, including applications, SaaS solutions, social channels,…

Setting Up Asana Webhook Integration: 2 Easy Steps

October 18th, 2021 By Muhammad Faraz in Data Integration

Asana is a Project Management platform designed to streamline project planning, collaboration, and tracking. It enables teams to work together efficiently, even remotely, without requiring all members to be available…

Snowflake Create Database Simplified 101: Usage and Examples Explained

December 20th, 2021 By Vishal Agrawal in Data Warehousing, Snowflake

Have you just started with Snowflake? Are you confused about how to create a database in Snowflake? If yes, then you are in the right place. In this blog post,…

13 dbt Commands You Should Start Using Today

March 31st, 2023 By Manjiri Gaikwad in Data Strategy

dbt is a data transformation tool used by data engineers to process raw data within data warehouses. While dbt is a robust tool for transformation, you should be aware of…

dbt Build Vs dbt Run: 5 Pivotal Differences

March 30th, 2023 By Manjiri Gaikwad in Data Strategy, Versus

The dbt tool is used in organizations that have complex business logic behind their data. It is helping data engineers to quickly transform data and support downstream processes with near-real-time…

GCP Kafka Installation: A Comprehensive Guide 101

February 4th, 2022 By Manisha Jena in Data Warehousing, Kafka

Apache Kafka is a distributed Publish-Subscribe Messaging platform explicitly designed to handle Real-time Streaming data. It helps in Distributed Streaming, Pipelining, and replay of data feeds for quick, scalable workflows.…

Kafka KSQL: Streaming SQL for Kafka Made Easy

November 2nd, 2020 By Aman Sharma in Data Warehousing, Kafka

Many Fortune 100 brands such as Twitter, LinkedIn, Airbnb, and several others have been using Apache Kafka for multiple projects and communications. This sudden credibility shift to Kafka sure makes…

BigQuery Save Query: How to Save & Share Queries Simplified 101

March 9th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing

Venturing into Data Science and deciding on a tool to use to solve a given problem can be challenging at times especially when you have a wide array of choices.…