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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

The authors of the paper have "extensive experience of using ML technologies in production settings" between them. The key insight this led to is that ML models are software , derived from data. Many of the software engineering discipline and controls need to be brought over into an ML context. EGML requirements.

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SQL 2016 – It Just Runs Faster Announcement

SQL Server According to Bob

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. Bob Dorr – Principal SQL Server Software Engineer. Follow-up.

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5 signs you need to implement test automation

Testsigma

The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. Many technologies must be handled and supported on many platforms, computers, and browsers in the emerging digital environment test framework.

Testing 54
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SQL Server On Linux: Forced Unit Access (Fua) Internals

SQL Server According to Bob

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Windows New Technology File System. The Back Story. Fua = Forced Unit Access. Device Flush.

Servers 90
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Microservices Adoption in 2020

O'Reilly

Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). software and systems architects, technical leads—architects represent almost 28% of the sample. Figure 5: Do dev teams own/not own the software lifecycle? Containers are a simplifying technology.

Database 136
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Matrix IT Organizations, Part I: Turtles all the way Down

The Agile Manager

IT generally organizes around technical roles: we have infrastructure people, database people, helpdesk people, software development people, and so forth. These sub-specializations are fairly well entrenched because career path is generally associated with role, and even specific technologies.