Popular Articles

Google BigQuery FIRST_VALUE and LAST_VALUE Functions Simplified 101

January 19th, 2022 By Isola Saheed Ganiyu in BigQuery, Data Warehousing

Businesses rely on data analysis for insightful decisions. If your company has been existing for a while, you probably have huge buckets of data. Analyzing these functions can prove difficult…

Understanding Star Schema: Star Schema in Data Warehouse Modelling

January 27th, 2022 By Harsh Varshney in Data Strategy

What’s the simplest way to model complex data? It's Star Schema! A star schema is a data modelling technique that organizes data in data warehouses to streamline analytical query performance.…

Using Snowflake Create Table Made Easy: 2 Critical Aspects

July 17th, 2020 By Shruti Garg in Data Warehousing, Snowflake

Are you just getting started with Snowflake? Looking to learn more about creating tables in Snowflake? You are in the right place, we have just the information you need. Get…

What is ETL? Guide to Extract, Transform, Load Your Data

January 18th, 2023 By Sanchit Agarwal in Data Integration, ETL

In today’s data-driven world, businesses rely heavily on data to make informed decisions. To manage and make sense of the vast amounts of data collected from various sources, organizations employ…

Google BigQuery Vs SQL Server: 8 Critical Differences

January 27th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing, Versus

Do you want to find the best database software? Are you unsure whether Google BigQuery or Microsoft SQL Server is best for you? It is impossible to determine whether Google…

Amazon Redshift vs Redshift Spectrum: 6 Comprehensive Differences

January 20th, 2022 By Arsalan Mohammed in Data Warehousing, Redshift, Versus

Amazon Redshift is one of the most popular Data Warehouse solutions that provide a wide range of functionality along with efficiency and ease of use. Amazon Redshift Spectrum is an…

Google Cloud SQL vs BigQuery: Key Differences Simplified

January 31st, 2022 By Nicholas Samuel in BigQuery, Data Warehousing, Versus

In the ever-evolving landscape of cloud computing, businesses are inundated with choices when it comes to managing their data. Among the most prominent options are Google Cloud SQL and BigQuery—two…

Building a Data Science Tech Stack: A Comprehensive Guide

December 12th, 2020 By Vivek Sinha in Data Strategy

The field of data science has evolved to a stage where no organization can ignore it while setting up their data science tech stack. Organizations use machine learning not only…

Snowflake Data Types: A Deep Dive into 6 Essential Varieties

July 10th, 2020 By Shruti Garg in Data Warehousing, Snowflake

Snowflake provides support for the standard SQL data types (with a few restrictions) for use in columns, local variables, expressions, and parameters. Every column in a table will have a name…

Everything You Need to Know About Elasticsearch Ingest Pipeline

April 19th, 2022 By Sanchit Agarwal in Data Engineering, Data Pipeline

Extracting data from data sources has always been a challenge for organizations worldwide. One of the popular free and open-source tools for creating Ingestion pipelines is ElasticSearch. It acts as…

Working with MongoDB Oplog: 3 Comprehensive Aspects

March 12th, 2021 By Amit Phaujdar in Database Management System, MongoDB

MongoDB Oplog happens to be a special collection that keeps a record of all the operations that modify the data stored in the database. The Oplog in MongoDB can be…

Understanding Big Data Processing: 2025’s Ultimate Guide

May 31st, 2022 By Pranay Kumar in Data Strategy

In real-word, most of the data is unstructured, making it difficult to streamline the data processing tasks. And since there is no end to the data generation process, collecting and…

Kafka Event Driven Architecture for Seamless Streaming

January 19th, 2022 By Shubhnoor Gill in Data Warehousing, Kafka

What is event-driven architecture? An Event Driven Architecture (EDA) is a microservices-based architectural paradigm that is becoming more prominent with the rise of Kafka event driven architecture. This isn’t just…

How to Stop or Kill Airflow Tasks: 2 Easy Methods

April 23rd, 2025 By Vidhi Shah in Data Strategy

In today’s data-driven world, enterprises extensively use data pipelines to enable quick data exploration for essential business insights. Pipelines created around extract, transform, and load (ELT) processes pose a challenge…

Understanding Data Modelling in Python: 4 Critical Aspects

April 27th, 2022 By Nidhi Bansal in Data Strategy

In the Python programming language, each entity is treated as an object. Moreover, unlike other programming languages like C or Java, Python does not work with primitive data or non-primitive…

Snowflake vs Postgres: 5 Critical Differences

May 21st, 2021 By Amit Phaujdar in Data Warehousing, Snowflake, Versus

PostgreSQL is a reliable database management system with a keen focus on SQL compliance and extensibility. PostgreSQL is well suited for various industries and use cases such as web apps,…

How Kafka ETL Simplifies Data Processing from Extraction to Loading

October 12th, 2020 By Divij Chawla in Data Integration, ETL, Kafka

With Traditional ETL no longer being able to meet the demands of the future, businesses across the world have moved on to the paradigm of real-time streaming ETL, which works…

Easy Elasticsearch and Oracle Data Connection (3 Steps Explained)

February 21st, 2023 By Muhammad Faraz in Data Integration

Are you tired of sifting through mountains of tables in your Oracle database, struggling to find the information you need? If so, you're not alone. Many businesses today are grappling…

A Complete Guide to Airflow S3 Connection Simplified

April 23rd, 2025 By Syeda Famita Amber in AWS, Data Integration

Airflow is a Task Automation tool. It helps organizations to schedule their tasks so that they are executed when the right time comes. This relieves the employees from doing tasks…

Oracle Database Replication: Types, Methods & Top Tools

December 23rd, 2021 By Sarad Mohanan in Data Replication, Tutorials

Oracle database replication is vital for businesses looking to ensure data consistency, availability, and disaster recovery across multiple locations. With Oracle's robust set of replication tools, companies can efficiently synchronize…