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What is data architecture? A framework to manage data

CIO

DAMA Internationals Data Management Body of Knowledge is a framework specifically for data management. It provides standard definitions for data management functions, deliverables, roles, and other terminology, and presents guiding principles for data management. Scalable data pipelines.

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Why thinking like a tech company is essential for your business’s survival

CIO

Expanding our approach to risk management Risk management is part of our DNA, but AI presents new types of risks that businesses havent dealt with before. So, our goal is to meet them where they are providing guidance thats both practical and easy to follow.

Company 186
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Driving Agility and Scalability through Smart Data

Cloudera

Last year presented business and organizational challenges that hadn’t been seen in a century and the troubling fact is that the challenges applied pains and gains unequally across industry segments. Cloudera sees success in terms of two very simple outputs or results – building enterprise agility and enterprise scalability.

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Addressing the Three Scalability Challenges in Modern Data Platforms

Cloudera

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. CRM platforms).

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Meet Perficient at Data Summit 2025

Perficient

.” What topics do you think will be top-of-mind for attendees this year? “Im especially interested in the intersection of data engineering and AI. Ive been lucky to work on modern data teams where weve adopted CI/CD pipelines and scalable architectures. It wont always be easybut it will be worth it.

Meeting 52
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Inferencing holds the clues to AI puzzles

CIO

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Without data, Holmes’ argument proceeds, one can twist facts to suit their theories, rather than use theories to suit facts. Inferencing and… Sherlock Holmes???