Data Strategy

Microservices Event Sourcing vs CDC Using Debezium

February 3rd, 2022 By Jeremiah in Data Strategy

This article is a dive into the realms of Microservices Event Sourcing and how this compares to using Change Data Capture (CDC) with Debezium in your microservices architecture. Much-needed clarity…

Operational Data Store: A Comprehensive Guide for 2025

February 3rd, 2022 By Talha in Data Strategy

Ever feel like your data is scattered across different systems, making it challenging to get a clear, up-to-date view of what’s happening? That’s where an Operational Data Store (ODS) comes…

How to Perform Load Balancing with ProxySQL: 8 Easy Steps

February 1st, 2022 By Abhinav Chola in Data Strategy

Today’s data-driven businesses rely on MySQL to manage their Databases. Owing to its Cloud-based architecture, MySQL makes for an ideal DBMS (Database Management System) that provides high processing power and…

RabbitMQ vs ActiveMQ: 6 Comprehensive Differences

January 31st, 2022 By Srishty Bhardwaj in Data Strategy, Versus

Message queuing (MQ) is a service that allows application-to-application communication services regardless of where the application or data are located. It helps applications to communicate with one another via messages…

What is Debezium: The Ultimate Guide

January 27th, 2022 By Manjiri Gaikwad in Data Strategy

As businesses increasingly rely on data to drive critical decisions and operations, ensuring data consistency and reliability across different systems has become paramount. In the world of modern data architectures,…

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.…

How to Set Up MariaDB JDBC Driver Integration: 4 Easy Steps

January 24th, 2022 By Aditya Jadon in Data Strategy

Companies maintain their valuable data in the Databases and Data Warehouses. MariaDB is one of the widely used open-source Relational Database Systems (RDBMS) that lets companies manage their data in…

Working with AWS DataBrew: 3 Easy Steps

January 21st, 2022 By Aditya Jadon in Data Strategy

Data is essential for business growth in today’s competitive world. Access to high-quality data gives companies an edge, but cleaning and managing raw data from multiple sources can be time-consuming.…

What is KSQL? Data Streaming Using Apache Kafka

January 17th, 2022 By Ishwarya M in Data Strategy

Apache Kafka is an Open-Source and Distributed Message Streaming Platform for building Event-Driven Applications. It has a vast ecosystem that comprises a dedicated number of servers or brokers to store…

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…

Best Python REST API Framework Solutions for 2026

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…

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,…

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…

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…

Top 10 Data Loss Prevention Tools in 2025

January 4th, 2022 By Arsalan Mohammed in Data Strategy

Data Loss Prevention Abbreviated as DLP is the process of detecting and preventing data breaches, exfiltration, or unwanted destruction of sensitive data. DLP is used by businesses to protect and…

How to Set up Profit and Loss Statement in QuickBooks: 6 Easy Steps

January 3rd, 2022 By Isola Saheed Ganiyu in Data Strategy

A Profit and Loss (P&L) statement is a crucial financial document for businesses, offering insights into revenue, expenses, and profitability over a specific period. QuickBooks, a popular accounting software, simplifies…

Building Digital Marketing Reports: 4 Critical Considerations

December 31st, 2021 By Abhishek Duggal in Data Strategy, Marketing Analytics

Digital Marketing has become one of the most popular techniques that businesses rely on to market their products. This is because these techniques allow businesses to reach a wider audience…

Measuring Facebook Campaign ROI: A Comprehensive Guide

December 31st, 2021 By Nicholas Samuel in Data Strategy

Facebook is a great platform for running Digital Marketing Ads. The reason is that people of all age groups and from different parts of the world are using Facebook. This…

Building Sales Dashboard: 14 Critical Metrics to Include

December 30th, 2021 By Amit Phaujdar in Data Strategy, Sales Operations

A Sales Dashboard helps you visualize your Sales data, which is helpful for efficient decision-making and performance analysis. With the advent of technology, data-driven Sales teams need a Dashboard that…

15 Best Data Governance Tools for 2026

December 23rd, 2021 By Shubhnoor Gill in Data Strategy

As organizations continue to rely on data to make key business decisions, they must establish a robust data management plan to ensure that data across their organization is handled consistently…