Remove insights data-architecture big-data-architecture
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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

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10 ways to accelerate digital transformation

CIO

In other words, stop thinking big bangs, seek out smaller, quicker victories. He further explains: “With an agile team we understood quickly that we needed additional data fields in existing data requests and transfers with our distributors.

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. What are some examples of data solutions in each of those buckets?

Data 230
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SAP and Nvidia expand partnership to aid customers with gen AI

CIO

RAG optimizes LLMs by giving them the ability to reference authoritative knowledge bases outside their training data. “There are tons of documents that are not residing in an SAP system,” Herzig said.

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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Why Tomago Aluminium reversed course on its cloud journey

CIO

From the moment your data is put into a partner-managed environment, you lose control of it. Regaining control When you’re running a smelter that operates 24/7 — with an ERP system that houses data pertaining to around 30 000 lines of stock — and you’re unable to access the information you need, when you need it, the impact can be serious.

Course 286
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Big Data Realtime Data Pipeline Architecture

Dzone - DevOps

Big data has become increasingly important in today's data-driven world. It refers to the massive amount of structured and unstructured data that is too large to be handled by traditional database systems. To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture.