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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

This organism is the cornerstone of a companys competitive advantage, necessitating careful and responsible nurturing and management. To succeed in todays landscape, every company small, mid-sized or large must embrace a data-centric mindset.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics. Security debt can accumulate when these risks are not adequately addressed.

Risk 140
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Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg

AWS Big Data

This is part two of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue. datalake-formats – This sets the data format to iceberg.

Data Lake 100
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Modern Data Architecture for Telecommunications

Cloudera

There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. Why telco should consider modern data architecture. What is the rationale for driving a modern data architecture? The challenges.

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Eight Top DataOps Trends for 2022

DataKitchen

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Testing 245
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Large Language Models and Data Management

Ontotext

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. But there are also a host of other issues (and cautions) to take into consideration. taxonomies, ontologies , internal data structures). Most applications are still exploratory.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially.

IoT 100