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Data architecture strategy for data quality

IBM Big Data Hub

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Practice proper data hygiene across interfaces. How to build a data architecture that improves data quality.

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Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue

AWS Big Data

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Sumitha AP is a Sr.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

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What is Data Classification? Guidelines, Types, & Examples

Alation

People aren’t locked out from the data completely, but private details remain private. Accelerate Data Analytics. Beyond compliance, data classification can maximize the return on investment of your analytics tools. Data classification helps business users discover data and understand how to use it quickly.