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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 331
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A case for ELT

Abhishek Tiwari

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. In addition, this approach is more tailored for both structured as well unstructured data sets. Classic ETL.

Storage 40
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Developer Advocate with 15+ years experience consulting for many different customers, in a wide range of contexts (such as telecoms, banking, insurances, large retail and public sector). His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Twitter: ??

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The rise of the data lakehouse: A new era of data value

CIO

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. Now users can write their own scripts and run them over the data,” he explains. . It’s a system of action.”.

Data 350
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Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

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What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Following this logic, any other writer with a short and memorable name — say, Gogol, Orwell, or Tolkien — could have become a symbol of endless data streams. Kafka architecture. Kafka cluster architecture.