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Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

The rapid changes brought on by the health crises forced businesses to adapt practically overnight, accelerating the rollout of new products. According to a 2021 survey from ManageEngine — the IT division of Zoho — 80% of U.S.-based Rather, it was the ability to scale the productivity of the people who work with data.

Data 230
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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Automation in data science and big data. Open Data, Data Generation and Data Networks.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general.

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The Good and the Bad of Docker Containers

Altexsoft

Also, Stack Overflow Developer Survey 2022 showed that Docker became a fundamental instrument for being a developer with 69 percent of professional programmers choosing it as their number one tool. Source: Stack Overflow Developer Survey 2022. The Good and the Bad of the SAP Business Intelligence Platform.