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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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The state of data quality in 2020

O'Reilly Media - Ideas

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102
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Driving Agility and Scalability through Smart Data

Cloudera

While brick-and-mortar retail was crushed a year ago with mandated store closures, digital commerce retailers realized ten years of digital sales penetration in only three months. data is generated – at the Edge. Democratization of Data. In 2020, a McKinsey study reported that “Industry 4.0 A rare breed.

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Machine Learning basics: 10 Platforms to start learning and get awesome at it

UruIT

And whether you’re a novice or an expert, in the field of technology or finance, medicine or retail, machine learning is revolutionizing your industry and doing it at a rapid pace. MathWork focused on the development of these tools to become experts in high-end financial use and data engineering contexts.