Data Strategy

Understanding Data Modelling Techniques: A Comprehensive Guide 101

May 24th, 2024 By Skand Agrawal in Data Strategy

ganizations are collecting a plethora of information, organizing Big Data for business needs has become increasingly challenging. Often companies struggle to harness the potential of data as gathered information is…

Java Lambda Expressions: A Comprehensive Guide 101

May 24th, 2024 By Veeresh Biradar in Data Strategy

Companies regularly need to update their applications for smooth functioning and implementation of new features. Developers continuously work on making the applications fast, smooth and secure. Modern applications use serverless…

AWS SQS Deletemessage: A Comprehensive Guide 101

May 24th, 2024 By Sarthak Bhardwaj in AWS, Data Strategy

There are many services included in Amazon Web Services. The use of such services has become widespread around the world to reduce the burden that comes with managing them. A prime…

Working With AWS Lambda Java Functions: 6 Easy Steps

May 17th, 2024 By Skand Agrawal in AWS, Data Strategy

Companies regularly need to update their applications for smooth functioning and implementation of new features. Developers continuously work on making the applications fast, smooth and secure. Modern applications use serverless…

MariaDB Foreign Key: A Comprehensive Guide 101

May 17th, 2024 By Harsh Varshney in Data Strategy

The MariaDB Foreign Key constraint is used to connect two tables. A Foreign Key is made up of one or more columns in one table that refer to the PRIMARY…

Enterprise Data Repository: Types, Benefits, & Best Practices

May 10th, 2024 By Manisha Sharma in Data Strategy

Organizations accumulate vast volumes of information from various sources. This data includes customer transactions, financial records, social media interactions, sensor readings, and more. Effective management and utilization of data are…

Hadoop S3 Comparison: 7 Critical Differences

May 10th, 2024 By Aakash Raman in Data Strategy, Versus

This article provides you with a comprehensive analysis of both storage techniques and highlights the major differences between them to help you make the Hadoop S3 comparison easily. It also…

AWS Aurora vs Snowflake: 5 Critical Differences

May 10th, 2024 By Manisha Jena in AWS, Data Strategy, Versus

Nowadays, with ever-increasing data, storage and analysis of large volumes of data have become basic foundations of any organization. While focusing on storage and analysis, which two concepts come to…

Oracle Vs Teradata: 6 Critical Differences

May 10th, 2024 By Muskan Kesharwani in Data Strategy, Versus

In Today's data-driven modern world, competition between companies is prevalent when they offer similar products. In a competitive market, providing the best services and products and having the majority of…

Most Helpful Data Cleaning Tools in Python for 2025

May 3rd, 2024 By Riya Bothra in Data Strategy

The quality of your data analysis and the insights derived directly depends on the quality of the data you feed. This is why data cleaning is crucial in ensuring your…

What is Data Quality Management: Tips and Best Practices

May 3rd, 2024 By Riya Bothra in Data Strategy

Many organizations today heavily rely on data to make business-related decisions. Data is an invaluable asset that helps you substantiate your convictions with evidence and facilitates stakeholder buy-in. However, ensuring…

Data Quality Monitoring: Key Metrics, Techniques & Benefits

May 3rd, 2024 By Riya Bothra in Data Strategy

Most organizations today practice a data-driven culture, emphasizing the importance of evidence-based decisions. You can also utilize the data available about your organization to perform various analyses and make data-informed…

Enterprise Data Intelligence: A Comprehensive Guide

May 3rd, 2024 By Radhika Sarraf in Data Strategy

The true value of data doesn’t lie in the vast amounts of data you generate from different sources but rather in the insights and intelligence it provides. Data intelligence solves…

SOAP vs REST APIs: Key Differences Between API Technologies

May 3rd, 2024 By Amit Phaujdar in Data Strategy, Rest API, Versus

SOAP (Simple Object Access Protocol) is known as a protocol that was designed to ensure that programs designed using different programming languages and on different platforms could exchange data in…

Data Mining and Data Analysis: 4 Key Differences

May 3rd, 2024 By Amit Phaujdar in Data Strategy, Versus

Organizations that make decisions based on big data now have a significant competitive edge in solving challenges and planning for the future. Data is at the center of decision-making across…

Batch Processing vs Stream Processing: Key Differences Explained

May 3rd, 2024 By Harshitha Balasankula in Data Strategy, Versus

Data Processing is the collection, manipulation, and processing of collected data for the intended use. It is a computer-assisted technique that involves retrieving, transforming, or classifying data. Computerized Batch Processing…

Maintaining Data Consistency Between Microservices

April 26th, 2024 By Suraj Kumar Joshi in Data Strategy

Data consistency is one of the most important aspects when building and maintaining any application. While multiple architecture patterns are present to build applications, microservices prevail as one of the…

Guide for Enterprise Database Features for 2025

April 26th, 2024 By Saloni Agarwal in Data Strategy

Imagine having to manage large amounts of data without a systematic way to organize, store, and manipulate it. Without a structured system in place, data becomes scattered and difficult to…

A Comprehensive Guide to Enterprise Data Architecture

April 26th, 2024 By Radhika Sarraf in Data Strategy

Efficient data management is a crucial part of an enterprise’s success. Data architecture helps streamline data management and workloads. It also enables you to establish a data governance framework that…

Best Data Ingestion Tools in Azure in 2025

April 26th, 2024 By Abhinav Chola in Data Ingestion, Data Strategy

Managing vast data volumes is a necessity for organizations in the current data-driven economy. To accommodate lengthy processes on such data, companies turn toward Data Pipelines which tend to automate…