Data Strategy

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…

A Comprehensive Guide To Build a Successful DataOps Culture in Your Team

April 20th, 2024 By Can Goktug Ozdem in Data Strategy

About the Author Can Goktug Ozdem is the founder of Datrick. He is a data engineer with over nine years of experience in the field. He is a big fan…

Are You Ready for the Data Quality Assessment?

April 20th, 2024 By Niklas Lang in Best Practice, Data Strategy

Niklas Lang is the founder and lead author of Data Basecamp, a machine learning blog that aims to offer easy explanations of data science and artificial intelligence. He uses the…

Get Complete Control on Destination Schema with Custom Schema Mapper

April 20th, 2024 By Team Hevo in Data Strategy

Hevo offers an automated schema mapper that eliminates the manual hassle of managing schema for your data team. However, there are use cases where your data team requires control over…

Forget IT; Think Business Led Data Governance Initiative

April 20th, 2024 By Nicola Askham in Data Strategy

About the Author Nicola Askham, also known as "The Data Governance Coach," has spent over a decade helping global organizations successfully implement data governance initiatives. In addition to coaching and…

AWS Marketplace vs Azure Marketplace: Selecting the Ultimate Marketplace

April 20th, 2024 By Suraj Kumar Joshi in AWS, Data Strategy

The use of cloud marketplaces has become a prominent consideration for every business. With time, the number of cloud marketplaces has increased rapidly, and choosing the best among the present…

AWS Marketplace SaaS Integration: The Ultimate Guide

April 20th, 2024 By Riya Bothra in AWS, Data Strategy

Software-as-a-service (SaaS) applications are at the forefront of the growing cloud computing landscape. However, it can become difficult for SaaS organizations to reach the right customers and streamline their sales.…

Is Your Data Speaking to You? Real Time Anomaly Detection Helps You Listen Effectively

April 12th, 2024 By Mona Rakibe in Data Strategy

About the Author Mona Rakibe is the co–founder, and CEO of Telmai, a low-code data reliability platform designed for open architecture, i.e., any batch/streaming source of your data pipeline. Mona…

What is Amazon AppFlow? Features & Pricing Explained

April 12th, 2024 By Satyam Agrawal in AWS, Data Strategy

Many companies build their Data Analytics, Data Backup, and Operational Intelligence infrastructures on Amazon’s web services such as Amazon S3 and Redshift. Since businesses today have a lot of data…

Data Maturity Models: Why Having Capabilities in Place Isn’t Enough

April 12th, 2024 By Willem Koenders in Data Strategy

Data maturity models measure the extent to which organizations have developed their data capabilities. They focus on a couple of dimensions that can include strategy, leadership, culture, people, governance, architecture,…

Discover the Power of GCP Marketplace: A How-To Guide for Data Practitioners

April 5th, 2024 By Suraj Poddar in Data Strategy

Data integration is an essential component of data engineering. It relates to the use of technological tools to acquire data from various sources and consolidate them for analysis and reporting.…