Data Strategy

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…

Leverage Third-Party Data with AWS Marketplace Data Exchange

April 26th, 2024 By Riya Bothra in AWS, Data Strategy

Data is the most fundamental factor that provides businesses a competitive edge in the market. It is a strategic asset that you can leverage to gain insights, identify upcoming profitable…

Enterprise Data Governance Model: Steps, Benefits & Challenges

April 26th, 2024 By Shuchi Chitrakar in Data Strategy

Data governance is a collection of steps an organization takes to ensure data is accurate, usable, and accessible. It improves data quality and analytics, which is crucial for any data-driven…

The Comprehensive Guide to Enterprise Data Bus

April 26th, 2024 By Riya Bothra in Data Strategy

Enterprises generate vast amounts of data from multiple sources, such as Customer Relationship Management platforms, Enterprise Resource Planning (ERP) applications, marketing metrics, and more. However, you need seamless data exchange…

Best Strategies to Create & Maintain A High Level Data Model: Simplified 101

April 26th, 2024 By Divyansh Sharma in Data Strategy

Good quality data is the holy grail, and that's what you should always aim for. But that saying goes incomplete without data models. While all of us know the importance…

What is & How Do You Become a Data Driven Organization?

April 26th, 2024 By Nicholas Samuel in Data Strategy

In today’s modern industry, data is a key component in every company’s strategy. Most companies, especially large enterprises, are investing heavily in the collection, storage, and analysis of data. An organization…

Enterprise Data Lake: A Simplified Guide

April 20th, 2024 By Saloni Agarwal in Data Strategy

In the early 2000s, organizations started dealing with more semi-structured and unstructured data, which consisted of images, videos, log files, text, and sensor data. They needed a storage solution that…

What is Enterprise Data Analysis?

April 20th, 2024 By Riya Bothra in Data Strategy

The rapid adoption of the latest technologies has led to information abundance. Every day, businesses, irrespective of their size, generate massive amounts of data, such as customer transactions, sales figures,…

GCP Storage Buckets List: Efficient Data Organizing Strategy

April 20th, 2024 By Saloni Agarwal in Data Strategy

Google has always pioneered the development of large and scalable infrastructure to support its search engine and other products. Its vast network servers have enabled us to store and manage…

5 Common ETL Challenges and How to Overcome Them

April 20th, 2024 By Sharon Rithika in Data Integration, Ecommerce, ETL

ETL is like doing a jigsaw puzzle with no picture on the box. You don't know what the final result should look like, but you must make all the pieces…

ETL vs Data Ingestion: 6 Critical Differences

April 20th, 2024 By Ratan Kumar in Data Ingestion, Data Strategy, Versus

A fundamental requirement for any data-driven organization is to have a streamlined data delivery mechanism. With organizations collecting data at a rate like never before, devising data pipelines for adequate…