Remove 2018 Remove Architecture Remove Data Engineering
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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

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How companies around the world apply machine learning

O'Reilly Media - Data

This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. So much so that a new breed of workers, machine learning engineers , was recently forecasted to be the fastest growing, emerging job in 2018.

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Databand raises $14.5M led by Accel for its data pipeline observability tools

TechCrunch

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. Blumberg led the company’s seed round in 2018. The company is also used by data teams from large Fortune 500 enterprises to smaller startups.

Tools 214
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2018: A Year in Review for Storage Systems.

Hu's Place - HitachiVantara

2018 was a very busy year for Hitachi Vantara. 2018 saw competitive storage vendors follow suit by announcing their intent to consolidate 3 to 5 disparate storage systems just to have a common storage system for the midrange. 2019 will provide even more proof points. So look for their evaluation in Gartner's 2019 reports.

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How Much Should I Be Spending On Observability?

Honeycomb

Your bill increases in line with: Traffic volume Instrumentation density Instrumentation density is partly a function of architecture (a system with hundreds of microservices is going to generate a lot more spans than a monolith will) and partly a function of engineering intent. These are, after all, data problems.

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5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

There are several emerging data trends that will define the future of ETL in 2018. A common theme across all these trends is to remove the complexity by simplifying data management as a whole. Unified data management architecture. A solution like Delta makes ETL unnecessary for the data warehousing.

Trends 49
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5 tips for excelling at self-service analytics

CIO

Understand the importance of timeliness and quality of the data on which important decisions are being made. Hemlock launched a self-service analytics initiative in 2018 using Tibco’s Spotfire platform, which is currently being used by all functions of the business. That’s a great place to start.”

Analytics 205