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The 10 highest-paying industries for IT talent

CIO

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. There’s a broad range of roles that fall under the software industry, the most obvious ones being software developer and engineer.

Industry 290
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Cloudera’s QATS Certification for Dell PowerScale Unleashes a New Era of Data Management

Cloudera

It offers a fully featured open data lakehouse with services including data warehousing, machine learning, and data engineering, in hybrid and multi-cloud environments. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 82
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Hire ETL Developer in Ukraine

Mobilunity

In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. Who Is an ETL Engineer?

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata discovery and capture refers to extracting metadata across your data assets. Metadata quality assurance.

Tools 59
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Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

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Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

To avoid errors that may threaten patient safety, AHIMA introduced the data quality management model which covers. Application, or the reason for data collection, Collection, or the process of data gathering, Warehousing, or systems and activities related to data storage and archiving, and.