Data Strategy

What Is a Universal Semantic Layer? Implentation Steps, Popular Tools & Use Cases Explained

February 16th, 2025 By Srujana Maddula in Data Strategy

Big data is now crucial for driving business decisions. Companies are tapping into it to gain valuable insights and make smarter moves. To unlock this power, they're using tools like…

Coalesce vs dbt: 7 Key Differences & Best Choice for You

January 31st, 2025 By Kamlesh in Data Strategy, Versus

Choosing the right data transformation tool can make all the difference for efficient data workflows. Coalesce and dbt are two of the most popular choices that bring unique features to…

Hevo vs dbt: Choosing the Best Tool for Your Data Needs

January 31st, 2025 By Skand Agrawal in Data Strategy, Versus

Given the era of big data, organizations are producing and analyzing enormous amounts of data daily. They use tools that enable streamlining data ingestion, transformation, and analysis to try to…

How To Build and Work With AWS Data Lake?

January 17th, 2025 By Asimiyu Musa in AWS, Data Strategy

Digital tools and technologies help organizations generate large amounts of data daily, requiring efficient governance and management. This is where the AWS data lake comes in. With the AWS data…

Data Lake Best Practices: The Do’s and Don’ts

January 8th, 2025 By Martina Šestak in Data Strategy

In today's data-driven world, data lakes have emerged as the data architecture of choice when storing and analyzing large volumes of data. However, implementing a successful data lake requires diligent…

Why is Customer Data Integration(CDI) Important for Your Organization?

December 30th, 2024 By Kamlesh in Data Integration, Data Strategy

Customer data integration, or CDI, is the process of combining and consolidating customer information from multiple sources into one single, accurate view. Thus, it eliminates data silos, improves customer insights,…

Your Complete Data Migration Checklist: A Step-by-Step Guide

December 20th, 2024 By Khawaja Abdul Ahad in Data Strategy

Moving data is a lot like moving houses—it sounds simple at first, but as the process unfolds, you quickly realize how much planning and care it requires. Every piece of…

Comprehensive Overview of DataOps Framework

December 20th, 2024 By Maria Asghar in Data Strategy

As various industries are heavily relying on data, they face issues like lack of collaboration between their teams, bottlenecks in data pipelines, and slow delivery of insights to make decisions.…

MySQL Query Optimization: Techniques for Speeding Up Your Database Explained

December 20th, 2024 By Maria Asghar in Best Practice, Data Strategy, Database Management System, MySQL

MySQL is one of the most popular open-source relational database management systems (RDBMS)  used for various applications. As databases grow in size and complexity, it impacts overall performance of application…

What is a Marketing Data Lake? Key Insights & Benefits

December 20th, 2024 By Dipal Prajapati in Data Strategy, Marketing Analytics

In the data-driven age of decision-making, businesses rely on a vast volume of marketing data to understand customer behavior, optimize campaigns, and increase the growth. However, extracting insights from diverse…

OLTP vs OLAP: What are the Major Differences Between the Two?

December 20th, 2024 By Srujana Maddula in Data Strategy, Versus

Data is utilized in almost all domains today, from designing products/services to delivering top-notch customer services. There are two approaches to processing data for business operations: OLAP and OLTP. OLAP…

Simplifying Business Data: The Power of Data Centralization 

December 15th, 2024 By Sarang Ravate in Data Engineering, Data Strategy

There is no denying the fact that in the modern business world, information reigns supreme because that is what is crucial in making decisions. The problem comes when this information…

What is Data Architecture? Types, Components and Benefits

December 15th, 2024 By Dipal Prajapati in Data Strategy

Introduction to Data Architecture Data architecture shows how data is managed, from collection to transformation to distribution and consumption. It tells about how data flows through the data storage systems.…

Amazon S3 Tables: AWS Has Finally Entered the Open Table Format War

December 9th, 2024 By Suraj Poddar in AWS, Data Strategy

The explosion of data from devices, applications, and systems has driven the need for scalable, efficient storage and analytics solutions. Amazon S3, known for its durability and flexibility, evolves further…

Best Data Preparation Tools for 2025 [Ranked by Popularity]

December 6th, 2024 By Sherly Angel in Data Strategy

Data preparation tools are very important in the analytics process. They transform raw data into a clean and structured format ready for analysis. These tools simplify complex data-wrangling tasks like…

Data Analytics vs Data Analysis: How to Choose the Right Approach for Insight-Driven Decisions

November 29th, 2024 By Khawaja Abdul Ahad in Data Strategy

Data is everywhere. We make huge amounts of data every day from our social media interactions to the things we buy online. According to expert predictions, data will globally surpass…

Choosing Between Star Schema and Snowflake Schema: A Comprehensive Guide

November 21st, 2024 By Neha Sharma in Data Strategy

In today’s data-driven world, choosing the right schema to store data is equally important as collecting it. Schema design plays a crucial role in the performance, scalability, and usability of…

AWS Redshift Cost Optimization 7 Easy Tips & Techniques

October 3rd, 2024 By Muhammad Usman Ghani Khan in Data Strategy

Amazon Redshift is an online, petabyte-scale Data Warehouse service. It is dedicated to enterprise use, collecting large amounts of data and extracting analysis and insights from it. Redshift helps organizations…

Data Mesh vs Data Warehouse: A Guide to Choosing the Right Data Architecture

September 10th, 2024 By Kamlesh in Best Practice, Data Strategy

Nowadays, when it comes to data management, every business has to make one critical decision: whether to use a Data Mesh or a Data Warehouse. Both are strong data management…

Data Lake vs Data Warehouse: How to choose?

September 5th, 2024 By Vinita Mittal in Data Strategy

Currently, data management is a continually developing field that requires careful consideration when deciding which solution should be implemented to store, process, and analyze data effectively. There are two forms…