Remove 10 data-lake-or-data-warehouse-which-is-better
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Implement tag-based access control for your data lake and Amazon Redshift data sharing with AWS Lake Formation

AWS Big Data

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

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The hidden history of Db2

IBM Big Data Hub

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems. This is the story of Db2. .

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Build incremental data pipelines to load transactional data changes using AWS DMS, Delta 2.0, and Amazon EMR Serverless

AWS Big Data

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. with Apache Spark version 3.3.0)

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Dive deep into AWS Glue 4.0 for Apache Spark

AWS Big Data

Deriving insight from data is hard. It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. The advent of gen AI changed everything, and the pace of that change is like nothing we’ve seen before. billion to the global economy.

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Automate alerting and reporting for AWS Glue job resource usage

AWS Big Data

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. Picture a scenario where you, the VP of Data and Analytics, are in charge of your data and analytics environments and workloads running on AWS where you manage a team of data engineers and analysts.

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Data Mesh vs. Data Fabric: A Love Story

Alation

And now, arguably the greatest rivalry the world (well, at least the data community) has ever witnessed: Data Fabric vs Data Mesh! Data fabric and data mesh are both having a moment. Gartner calls data fabric the Future of Data Management 1. But which one is right? Which one is better?