Recent Articles

Manage Kafka as a Service on the Cloud: A Comprehensive Guide 101

January 11th, 2022 By Shubhnoor Gill in Data Warehousing, Kafka

As a Kafka Developer, you might have faced challenges deploying Kafka, particularly across the hybrid cloud.   Due to this,  many streaming data customers choose to employ a Kafka service, which offloads infrastructure…

Top 7 Kafka Alternatives for Better Data Streaming

January 11th, 2022 By Srishty Bhardwaj in Data Warehousing, Kafka

Key takeaways Choosing the right Kafka alternative can transform how your organization handles real-time data streaming — without the complexity, cost, and maintenance that come with managing Apache Kafka. Here’s…

MySQL Temporary Tables: Create, Drop & Manage Table

January 11th, 2022 By Amit Phaujdar in Database Management System, MySQL

MySQL is a Relational Database Management System. This Open-source tool is one of the best RDBMS available in the market that is being used to develop web-based software applications among…

Snowflake CREATE USERS: Syntax, Usage & Practical Examples

January 11th, 2022 By Harsh Varshney in Data Warehousing, Snowflake

You need Real-Time High-Quality data from all your data sources in a central repository to empower your business decisions with data. Traditional On-premise Data Warehouse solutions are limited in terms…

Snowflake Show Tables Command Simplified: A Comprehensive Guide 101

January 11th, 2022 By Rakesh Tiwari in Data Warehousing, Snowflake

At times, you may need to get a list of tables from your database. This could be to help with Testing, to see what tables exist before you create a…

Documenting REST APIs: 5 Best Tips & Strategies for 2025

January 11th, 2022 By Nicholas Samuel in Data Strategy, Rest API

REST APIs make it easy for applications to share data without relying on slow, insecure methods. Instead of interacting with a user interface, APIs allow you to pull information directly…

Best Python REST API Framework Solutions for 2025

January 11th, 2022 By Nicholas Samuel in Data Strategy, Rest API

Python is one of the most popular programming languages today. This can be attributed to its simple syntax. Python is a simple programming language to learn, even by beginners.  It…

Unravel the Shopify App Store: A Comprehensive Guide 2025

January 11th, 2022 By Shubhnoor Gill in Data Strategy, Ecommerce

You might have heard about Shopify, the leading Cloud E-Commerce platform. But, did know about the Shopify App Store? Well, every business has its own set of requirements, which evolve…

Airflow REST API: How to Use It (Simplified with Examples)

January 11th, 2022 By Nicholas Samuel in Data Strategy, Rest API

Airflow is a powerful task automation tool that helps organizations schedule and execute tasks at the right time, freeing employees from repetitive work. By connecting to Airflow from other tools,…

Running Apache Kafka without Zookeeper: Easy Steps 101

January 10th, 2022 By Ishwarya M in Data Warehousing, Kafka

Apache Kafka has a vast environmental architecture that comprises producer, broker, consumer, and Zookeeper. In Kafka architecture, Zookeeper serves as a centralized controller for managing all the metadata information about…

Creating external schemas for Amazon Redshift

January 10th, 2022 By Davor DSouza in Data Warehousing, Redshift

One of the most common issues is Redshift create external schema. This can be complex, combining data from different sources and catalogs. However, after reading this article, you will be…

Working with BigQuery Stored Procedures & Scripts: Made Easy

January 7th, 2022 By Arsalan Mohammed in BigQuery, Data Warehousing

A Collection of SQL statements is known as a Bigquery script. all the statements can be executed in a single request. Scripts consist of Variables and Control-flow statements and have…

BigQuery Delete Table & Drop Table Commands

January 7th, 2022 By Manisha Jena in BigQuery, Data Warehousing

In this article, you will gain information about undergoing BigQuery Delete Table. You will also gain a holistic understanding of Google BigQuery, its key features, managing BigQuery Tables and the…

Redshift PIVOT & UNPIVOT: The Ultimate How-to Guide [Practical Examples]

January 7th, 2022 By Yash Arora in Data Warehousing, Redshift

Redshift PIVOT and UNPIVOT are two separate manifestations of the same relationship/relational operator. In order to achieve the desired dataset the two operators — Redshift PIVOT and UNPIVOT — convert…

Working with Federated Query Redshift: 4 Easy Steps

January 7th, 2022 By Isola Saheed Ganiyu in Data Warehousing, Redshift

The purpose of this tutorial is to show you how to run Federated Query Redshift. You may already know how to run queries on Amazon Redshift by loading your data…

How to Install Kafka on Windows? 4 Easy Steps [2025 Guide]

January 7th, 2022 By Ishwarya M in Data Warehousing, Kafka

In the modern world, businesses have to rely on Real-time Data for quickly making data-driven decisions and serving customers better. However, often companies use data from the Static Database Server…

AWS Sync Command: Simplified with Code + Examples

January 7th, 2022 By Arsalan Mohammed in Data Strategy

AWS provides a cloud-based storage service known as Amazon S3. It is one of the most popular tools on the market and provides a wide range of functionality with ease…

mysqldump: Exporting Databases and Tables Made Easy

January 7th, 2022 By Ofem Eteng in Database Management System, MySQL

There are many an instance where you want to export data from your MySQL database using mysqldump to another destination like a Data Warehouse. You may want to integrate this…

Export Google Analytics Data by 5 Easy Methods: Step-by-Step Explanation

January 7th, 2022 By Vivek Sinha in Data Strategy, Marketing Analytics

As Google Analytics Universal (GA) and Google Analytics 360 (GA360) have transitioned to Google Analytics 4 (GA4), let’s look at the updates to export Google Analytics data. Google Analytics (GA)Standard…

Google BigQuery Numeric: 4 Key Types Simplified

January 7th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing

To use Google BigQuery, you will need to move your data from different data sources into your BigQuery Data Warehouse. This will mean that mapping data to the correct data…