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Operational efficiency across activities such as platform management / databaseadministration, security and governance, and agile development (e.g., Quantifiable performance improvements of Apache Hbase 2.2.x x that delivers higher consistency and better read / write performance over previous versions of Apache HBase (1.x)
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Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. Reliability will be key to ensuring always-on, always-available performance so we’ll see more engineers and administrators adding reliability to their titles.
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relational database,” “Oracle database solutions,” “Hive,” “databaseadministration,” “data models,” “Spark”—declined in usage, year-over-year, in 2019. libraries to run data engineering jobs concurrently or, if possible, in parallel. Terms that correspond with old-school data engineering—e.g.,
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Sample of a high-level data architecture blueprint for Azure BI programs. They also define KPIs to measure and track the performance of the entire data infrastructure and its separate components. To perform or supervise data modeling, data architects must have expertise at databaseadministration and SQL development.
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