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…
Amazon AppFlow: 3 Comprehensive Aspects 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 Building all the tools you need from scratch or having complex installments for a cloud environment is a thing of the past now. In this fast-paced world, we need solutions…
Best Data Reconciliation Tools: Complete Guide April 5th, 2024 By Sarad Mohanan in Data Strategy Data reconciliation is essential for financial accuracy, but it can be tedious. Data reconciliation is a process where datasets are compared and matched to ensure accuracy and consistency. The process…
What is Data Reconciliation? Everything to Know April 5th, 2024 By Satyam Agrawal in Data Strategy Data reconciliation is the process of comparing data from different systems or sources to identify and fix discrepancies. The goal is to ensure that the information is accurate and up-to-date.…
Data Observability vs Data Quality: Difference and Relationships Explored April 5th, 2024 By Sarthak Bhardwaj in Data Strategy, Versus Data from multiple platforms leads to more informed and better decision-making. However, this is often hampered by incomplete, irrelevant, or unreliable data, which highlights the importance of data observability vs…
AWS Data Pipeline 101: A Comprehensive Guide April 5th, 2024 By Vivek Sinha in AWS, Data Strategy AWS Data Pipeline is a web service that lets you process and moves data at regular intervals between AWS computing and storage services, as well as on-premises data sources. It…
Serverless Architecture AWS Lambda: 2 Comprehensive Criteria April 5th, 2024 By Vivek Sinha in AWS, Data Strategy Serverless Architecture is a type of architecture where we rely to a smaller extent than usual, on running our own server-side systems as part of our applications. We do this…
What is AWS Glue?: 4 Comprehensive Aspects April 5th, 2024 By Anmol Baunthiyal in AWS, Data Strategy With the vast sea of information that is growing every day, most organizations are looking toward Cloud-based solutions to collect, store and work on their data. Furthermore, the ETL process…
Principles of Running a High Performance Data Team March 29th, 2024 By Sony Saji in Best Practice, Data Strategy What is a high performance data team? You know how popular Google is now. Since Google acquired Android, it has become one of the globally accepted Operating Systems for smartphones.…
Offensive vs Defensive Data Strategy: Do You Really Need to Choose? March 29th, 2024 By Willem Koenders in Data Strategy Willem Koenders is a global leader in data strategy at ZS Associates with 10 years of experience advising leading organizations across all continents on how to leverage data to build…
The Data Engineer’s Crystal Ball: How Data Observability Helps You See What’s Coming March 22nd, 2024 By Kyle Kirwan in Data Strategy Kyle Kirwan is the CEO and co-founder of Bigeye, the premier data observability platform. Bigeye gives data engineering and science teams the tools they need to ensure their data is…