Implementing Star Schema for Data Modelling in Warehouses January 27th, 2022 By Harsh Varshney in Data Strategy This blog will show you everything about Star Schema Data Modelling and its comparison with different types of Schemas including Star Schema. Below are the three primary types of Multidimensional…
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 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…
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…
Ultimate Guide on the Best Power BI Visuals: 20+ Types to Use in 2025 March 11th, 2022 By Divyansh Sharma in Data Visualization, PowerBi “Visualization gives you answers to questions you didn’t know you had.” – Ben Schneiderman Microsoft Power BI is a world-class data visualization tool to help you map your data points…
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 Data Automation: 5 Critical Aspects June 11th, 2023 By Abhishek Duggal in Data Automation, Data Engineering Businesses typically generate and store colossal amounts of data from which they derive meaningful insights for faster and better decision-making using Business Intelligence (BI). Because of the variety and complexity…
Kafka Event Driven Architecture for Seamless Streaming January 19th, 2022 By Shubhnoor Gill in Data Warehousing, Kafka An Event Driven Architecture (EDA) is a microservices-based architectural paradigm that is becoming more prominent with rising in Big Data and Cloud environments. This isn't just a coincidence. From the standpoint…
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…
Google Cloud SQL vs BigQuery: Key Differences 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…
Tableau Conditional Formatting 101: Easy Hacks to Modify March 8th, 2022 By Harshitha Balasankula in Data Visualization, Tableau Tableau Conditional Formatting can aid in highlighting patterns and trends in your data. To use it, you create rules that determine how cells are formatted based on their contents. Tableau…
8 Best Airtable Examples and Use Cases November 29th, 2021 By Amit Kulkarni in Data Strategy The ever-increasing demand for digital information has led organizations to store data for making better business decisions. Most companies rely on databases to gather and analyze important data using a…
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…
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…
Ultimate CRUD vs REST Guide: Operations Simplified 101 October 25th, 2021 By Amit Kulkarni in Data Strategy, Rest API, Versus REST and CRUD are two major concepts in the API industry. While REST is the most widely considered design style for Web APIs, CRUD helps in database applications. As organizations…
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,…
Discord YouTube Webhook Integration: 6 Steps to Speedy Updates October 25th, 2021 By Divyansh Sharma in Data Integration Excited to know what the newest IGN or PlayStation release is, or what insights and industry news is Rand Fishkin broadcasting? Discord has grown in popularity as a Group Communication…
How to Stop or Kill Airflow Tasks: 2 Easy Methods July 29th, 2022 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…
How to Perform Tableau Automation with Python? March 21st, 2022 By Manisha Jena in Data Automation, Data Engineering Visual Analytics is the union of Data Analytics and Visualisations. This problem-solving approach is concerned with effectively facilitating high-level, complex activities such as reasoning and data-driven decision-making by integrating interactive…