Popular Articles

Kafka Hadoop Integration: 2 Critical Concepts

May 27th, 2023 By Yash Arora in Data Integration, Kafka

The Kafka Hadoop Integration, or the Kafka Hadoop pipeline, is predominantly used for real-time big data analytics. Both Kafka and Hadoop are the major players in the modern data analytics…

Configuring Databricks Snowflake Connector for Spark

October 6th, 2021 By Shubhnoor Gill in Data Integration, Snowflake

Databricks provides a comprehensive platform for analyzing large datasets and building scalable AI projects, with features like Collaborative Notebooks and managed ML Flow. Snowflake, as a Cloud-based Data Warehouse, offers…

Connect BigQuery to Looker: 2 Easy Methods

July 9th, 2020 By Muhammad Faraz in BigQuery, Data Integration, Looker Studio

A data warehouse such as Google BigQuery, or Snowflake, is used to consolidate data from multiple sources in a single location. Data can then be analyzed using a BI tool…

What is Kafka Big Data? How it works, Benefits & Applications

November 16th, 2020 By Pratik Dwivedi in Data Warehousing, Kafka

Today, huge amounts of data are being generated by multiple devices, live streams, and systems every second, and more and more devices are connecting to the internet daily. The first need…

Steps to Extract Marketing Cloud Data: An Easy Guide

November 24th, 2020 By Nikhil Annadanam in Data Integration

Salesforce Marketing Cloud is an amazing space where marketers can understand customers in much greater depth by seamlessly integrating data from different sources. Picture being able to have a 360-degree…

What Is Data Transformation? Types, Benefits & Use Cases

October 9th, 2020 By Oshi Varma in Data Strategy

The International Data Corporation predicts the global data sphere will expand to 175 zettabytes by 2025. Businesses must transform massive volumes of raw data into usable formats because they need…

Building a Snowflake CI CD Pipeline: What You Need to Know?

January 27th, 2022 By Rakesh Tiwari in Data Warehousing, Snowflake

The acronyms CI and CD are frequently used in modern development practices and DevOps. Continuous integration (CI) refers to a fundamental DevOps best practice in which developers frequently merge code…

Working with BigQuery Math Functions: Made Easy 101

December 27th, 2021 By Najam Ahmed in BigQuery, Data Warehousing

Google BigQuery has quickly become one of the most popular Serverless Data Warehouses for companies around the globe. Owned by Google Cloud, BigQuery is offered as a Platform as a…

What is Database Replication?[+Types, Benefits, Steps and Challenges]

January 27th, 2022 By Muhammad Faraz in Data Replication, Tutorials

How horrifying it would be to lose important data at the business level because you have suffered a system or server crash. Data replication is crucial for organizations of all…

WordPress MariaDB Integration: 6 Easy Steps

March 5th, 2023 By Amit Phaujdar in Data Integration

WordPress started as an Open-Source Content Management System (CMS), that was written in PHP supplemented with a MariaDB or MySQL database. It was developed as a blog-publishing system but it…

How To Connect Elasticsearch To BigQuery Seamlessly?

April 23rd, 2023 By Divij Chawla, Parthiv Patel in BigQuery, Data Integration

Do you want to transfer your Elasticsearch data to Google BigQuery? Are you finding it challenging to connect Elasticsearch to BigQuery? If yes, then you’ve landed at the right place!…

What is Data Build Tool(dbt) and How It Transforms Your Data Pipeline?

February 9th, 2023 By Sanchit Agarwal in Data Strategy

Despite all the ELT tools available out there, businesses still struggle with data modeling. Data Build Tool(dbt) is a robust, open-source tool based on SQL that changes how organizations write,…

Data Modeling and Visualization: A Detailed Comparison

April 14th, 2022 By Nicholas Samuel in Data Strategy

It is now easy for businesses to understand their customers than ever. This has been made possible by the huge amounts of data available today. A business that uses data…

BigQuery Hash Function: Easy Guide

January 19th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing

Google BigQuery is the product offered by Google Cloud Platform, which is serverless, cost-effective, highly scalable data warehouse capabilities along with built-in Machine Learning features. Google Bigquery supports ANSI SQL,…

Master BigQuery Storage API in Minutes

February 21st, 2022 By Talha in BigQuery, Data Warehousing

BigQuery is a Serverless Data Warehouse that can store Petabytes of data. It provides a comprehensive SQL layer and high-performance querying ability. BigQuery comes with built-in Machine Learning support and…

Airflow GitHub Integration: 6 Easy Steps

July 26th, 2022 By Davor DSouza in Data Integration

Apache Airflow promotes itself as a community-based platform for managing and orchestrating programmatic workflows. These are workflows for the data teams in charge of ETL pipelines, and a code-based system…

Introduction to Airflow DAGs and Best Practices

February 17th, 2022 By Shravani Kharat in Data Strategy

Since organizations are increasingly relying on data, Data Pipelines are becoming an integral element of their everyday operations. The amount of data used in various business activities has grown dramatically…

How to Setup NodeJS Redshift Integration?

March 17th, 2022 By Aditya Jadon in Data Integration, Redshift

Companies use various technologies to create fast, scalable, and flexible applications to meet their business requirements. These applications generate huge volumes of data that need to be stored and analyzed…

Top 7 Data Dictionary Tools Used by Growing Tech Companies

December 19th, 2021 By Yash Arora in Data Strategy

Is data discovery becoming difficult for your team due to the ever-growing data? Then, all you need is a data dictionary. It is a meta-data repository that contains information about…

Simplifying Snowflake Unload to S3 (A 3-Step Guide)

January 27th, 2022 By Aditya Jadon in Data Integration, Snowflake

Struggling to manage massive volumes of data for analysis? Many companies turn to Amazon S3 for storage and Snowflake for powerful querying. But what happens when you need to offload…