Author: Prabhanjana Guttal How can leaders make better, more trustworthy decisions regarding technology? According to the World Economic Forum, that’s
Archive for category: Data Engineering
Data Engineering
How to Leverage Azure Databricks and Azure Synapse Collaboratively
| Data Engineering, Technical, Azure, Databricks, SynapseAuthor: Ludwig Armbruster Azure Databricks and Azure Synapse are powerful analytical services that complement each other. But choosing the best-fit
A Complete Guide to Enabling SAP Data Analytics on Azure Databricks
| Data Engineering, Technical, Azure, Databricks, SAPAuthor:Â Ludwig Armbruster Effectively enabling SAP data analytics on Azure Databricks empowers organizations with a powerful and scalable platform that seamlessly
All you needed to know about Unity Catalog
| Data Engineering, Technical, Data Engineering, Databricks, Unity CatalogAuthors: Shivam Banga For a Data engineer/Admins, making sure that all operations run smoothly is a priority. That’s where Unity Catalog
Enabling Cross Platform Data Observability in Lakehouse Environment
| Blogs, Data Engineering, Technical, Data Engineering, Data Observability, DatabricksAuthors: Sandeep Reddy Bheemi Reddy, Bramha Naidu Aelem Imagine a world where organizations effortlessly unlock their data ecosystem’s full potential
Unleash the Full Potential of Data Processing: A Roadmap to Leveraging Databricks
| Blogs, Data Engineering, Technical, Data Engineering, data ingestion, Databricks, Databricks Auto LoaderAuthor: Bikash Nahata Scenario # 1: Thousands of files flood the data lake every day. These files are dumped
A Practical Guide to Setting Up Your Data Lakehouse across AWS, Azure, GCP and Snowflake
| Blogs, Data Engineering, Technical, Data Engineering, data lake, Data Lakehouse, Data WarehouseAuthor: Ganapathy Subramanian Today, most large enterprises collect huge amounts of data in various forms – structured, semi-structured, and
Why Self-Service BI is Important in an Agile Business Scenario
| Blogs, Data Engineering, Technical, BI tools, Business Insights, Data Engineering, Modern BIAuthors: Suganthi Murugesan, Varalakshmi Myilsamy In organizations where data-driven solutions are valued, Data democratization is becoming a necessity. Data virtualization
Improving Data Quality with the help of Tiger’s Data Quality Framework
| Blogs, Data Engineering, Technical, Data Engineering, data quality, Tiger data quality frameworkAuthors: Ajeeth Kumar A, Chetan Jaamdar, Gaurav Kantrod According to Gartner, poor data quality could cost organizations up to $12.9 million
Harnessing Retail’s Ring of Power with GCP
| Blogs, Data Engineering, Best of 2022, Customer 360, Data Engineering, GCP, Retail Recommender EngineAuthor: Prabhanjana Guttal What do customers really really want: More options? Value for money? Better quality products? Exciting discounts? With
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