Remove Cost-Benefit Remove Data Architecture Remove Optimization Remove Structured Data
article thumbnail

What is data governance? Best practices for managing data assets

CIO Business Intelligence

Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance. To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned.

article thumbnail

Detect, mask, and redact PII data using AWS Glue before loading into Amazon OpenSearch Service

AWS Big Data

Leadership and development teams can spend more time optimizing current solutions and even experimenting with new use cases, rather than maintaining the current infrastructure. With the ability to move fast on AWS, you also need to be responsible with the data you’re receiving and processing as you continue to scale.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

Consumer data: Data transmitted by customers including, banking records, banking data, stock market transactions, employee benefits, insurance claims, etc. Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc.

Big Data 100
article thumbnail

Your Data Architecture Holds the Key to Unlocking AI’s Full Potential

CIO Business Intelligence

Businesses that lead in fully deploying AI will be able to optimize customer experiences and efficiencies that help maximize customer retention and customer acquisition and gain a distinct advantage over the competition. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

article thumbnail

Exploring real-time streaming for generative AI Applications

AWS Big Data

Both engines provide native ingestion support from Kinesis Data Streams and Amazon MSK via a separate streaming pipeline to a data lake or data warehouse for analysis. It also allows you to transform, enrich, join, and aggregate data across many sources efficiently in near-real time.

article thumbnail

How GamesKraft uses Amazon Redshift data sharing to support growing analytics workloads

AWS Big Data

Amazon Redshift enables you to use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price-performance at scale. Shashank Tewari is a Senior Technical Account Manager at AWS.

article thumbnail

If Johnny Mnemonic Smuggled Linked Data

Ontotext

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Information Retrieval. Linked Data and Security.