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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. In isolation, the $x_1$-system is optimal: changing $x_1$ and leaving the $x_2$ at 0 will decrease system performance.

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Keeping Small Queries Fast – Short query optimizations in Apache Impala

Cloudera

Impala Optimizations for Small Queries. We’ll discuss the various phases Impala takes a query through and how small query optimizations are incorporated into the design of each phase. Query optimization in databases is a long standing area of research, with much emphasis on finding near optimal query plans.

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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? In 2000, the Netherlands had 8.5

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Materialized Views in Hive for Iceberg Table Format

Cloudera

Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views. We ran the ANALYZE command to gather both table and column statistics on all the base tables. Each query had between one to three variants.

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Admission Control Architecture for Cloudera Data Platform

Cloudera

When an Impala coordinator receives a query from the client, it parses the query, aligns table and column references in the query with data statistics contained in the schema catalog managed by the Impala Catalog server, and type checks and validates the query. . Impala Admission Control in Detail. Admission control is largely defined by .

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Top 12 Most Challenging Operational Reports

Jet Global

In the absence of experience with these tools, turning to IT may seem like the optimal solution. Considering that sobering statistic, with which reports are finance teams most likely to struggle? Manual Processes Drag Teams Down. For example, the go-to tool for 76% of finance decision-makers is Microsoft Excel. Weekly Forecasting.

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What is The Difference Between BI and Analytics?

Jet Global

Both of these are predictive statistical tools. You can also do prescriptive in Excel using the Solver,” says Langer, “to, for example, optimize a supply chain.” Solver is an add-in you can use to perform if-then analyses; conditional logic is the key to prescriptive.