High Scalability
JANUARY 11, 2022
FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. We will use a graph database such as Neo4j to store the information. Sample Queries supported by Graph Database. System Components. API Design.
SQL Server According to Bob
SEPTEMBER 9, 2019
A handful of lock types (Database, Metadata, LOGIN_STATS, …) are eligible for lock partitioning. For example: When ‘use database’ takes place the session acquires a shared lock on database. Only distinct changes require an exclusive database lock, for example a drop database.
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The Morning Paper
FEBRUARY 18, 2020
Many of the software engineering discipline and controls need to be brought over into an ML context. Flock treats ML models as software artefacts derived from data. Models themselves must be subject to scrutiny with their storage and querying/scoring secured and auditable. Data management.
SQL Server According to Bob
NOVEMBER 8, 2016
There are two ways to take advantage of non-volatile storage (NVDIMM) for SQL Server (Direct access or Block Device storage.). Block storage is what you think of today as disk access. Create / Alter Database … LOG ON. SQL Server 2016 is designed to detect non-volatile storage devices. Tail Of Log Caching.
SQL Performance
APRIL 17, 2020
Depending on the type of change and the configuration of the database, an ALTER COLUMN command will need to perform one of the following actions: Change metadata in system tables only. Particular care is needed when altering a string column that has a collation not matching the default for the database. Test2 ; GO. CREATE TABLE dbo.
Dynatrace
APRIL 20, 2023
Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. ” In many cases, indexed databases only provide access to a sample of statistical data summaries.
The Morning Paper
OCTOBER 22, 2019
Software engineering for machine learning ’), is the lack of documentation, metadata, and provenance. Only 18 of the 30 participants mentioned using databases and related tools (that statement caused a significant recalibration in my mind, I would have guessed much closer to 100%!). SQL databases and spreadsheets (of course!!)
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