Authors: Suganthi Murugesan, Varalakshmi Myilsamy In organizations where data-driven solutions are valued, Data democratization is becoming a necessity. Data virtualization
Tag Archive for: Data Engineering
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
TIGER DATA FABRIC – Self-Service Data Lake Framework in AWS
| Blogs, Data Engineering, AWS, Best of 2022, Data Engineering, data lake, Tiger Data FabricAuthor: Suprakash Nandy “Data is a precious thing and will last longer than the systems themselves.”– Tim Berners-Lee, inventor
Why Organizations Need A Cloud Data Engineering Council
| Blogs, Data Engineering, Cloud Adoption, Cloud Data Engineering, Data Engineering, data management, Industry 4.0Authors: Sundaresan Narasimha Moorthy, Muthamizh Selvan Subburayan At the center of Industry 4.0 (4IR), is the generation of data in
Enabling Data Driven Decisions for Efficient Business Operations
| Blogs, Data Engineering, Big Data, data driven decisions, Data Engineering, data lakeAuthors: Muthu Govindarajan, Manish Gupta Modern Data Lake Data Lake solutions started emerging out of technology innovations such as Big
Modern BI – A key marker for a democratized and efficient BI environment
| Blogs, Data Engineering, Business Insights, Data Engineering, Modern BIAuthors: Riaz Samadh, Saravanan Perumal Recently, at the DES22 Summit held virtually on the 30th of April 2022, we spoke
A Data Engineering implementation using AWS
| Blogs, Data Engineering, Advanced Analytics in Data Engineering, AWS, Data EngineeringAuthors: Sidharth Ramesh Introduction: Lots of small to midsize companies use Analytics to understand business activity, lower their costs and
Building a Near-Real Time (NRT) Data Pipeline using Debezium, Kafka, and Snowflake
| Blogs, Data Engineering, AI for Real Estate, Data Engineering, Data PipelineAuthors: Arun Kumar Ponnurangam, Karunakar Goud Institutional investors in real estate usually require several discussions to finalize their investment strategies and
Deploying a Custom Machine Learning Model as REST API with AWS SageMaker
| Blogs, Technical, AWS Sagemaker, Big Data, Data Engineering, Machine Learning, Model DeploymentAuthor: Naresh Reddy Introduction AWS SageMaker is a fully managed machine learning service. It provides you support to build models
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- Patient Services: Pharma’s Answer to Supporting Patients with Rare Diseases
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