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A Data Lake Strategy for Organizations
Data lakes provide a centralized repository that can store vast volumes of structured, semi-structured, and unstructured data from diverse sources,…
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Top 10 Data Storage Certifications
Data storage professionals who are interested in advancing their careers can do so by obtaining data storage certifications. These certifications…
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5 Tips on Choosing the Right Data Warehouse
Today’s top data warehouses include Amazon Redshift, Google BigQuery, Microsoft Azure SQL Data Warehouse, and Snowflake. Choosing the right data warehouse for…
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A Guide to Cloud Migration: 6 Things to Consider When Migrating to Cloud
Now, more than ever, cloud is vital to help businesses reopen, reinvent and outmaneuver uncertainty ie achieving end-to-end digital transformation. An optimized IT infrastructure,…
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3 Best Practices for Developing ELT Pipelines
The task of managing the data stored in a data warehouse has shifted from software engineers writing ETL (extract, then…
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5 Reasons to Choose Cloud Data Integration for Analytics
Businesses are increasingly relying on cloud data integration. According to Gartner, data integration is “the consistent access and delivery of…
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What is Kubernetes and How is It Used?
According to Gartner, “More than 75% of global organizations will be running containerized applications or Kubernetes in production” by 2022.…
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Containers vs Serverless: Which One Should You Choose and When?
Containers vs serverless has been doing the rounds for a while now. All enterprises today want a modern, future-proof architecture.…
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What Is Data Validation and Why You Need to Automate It?
Incorrect data validation can cost companies anywhere from $2.5 to $3.1 trillion each year. To get rid of bad data, you must shine light on…
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Data Storage Explained – Data Warehouse vs Database vs Data Lake vs Data Mart
A data warehouse today is a necessity. Data analytics has moved to the heart of revenue generation. It’s no surprise…
Data Warehouse
Data Semantics > Data Warehouse