Remove 2008 Remove Dashboards Remove Optimization Remove Testing
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Understanding The Value Of Column Charts With Examples & Templates 

datapine

Plus, when placed together with other charts in a professional business dashboard you’ll get a complete data story that you can explore and navigate to answer many analytical questions. Your Chance: Want to test modern data visualization software for free? Your Chance: Want to test modern data visualization software for free?

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Delivering for Your Clients with @dudeimliv: TDI 31

Data Science 101

for example, they wanted a secure customer portal & dashboard. but they were using campus suites — a no-code, what seemed like early 2008, meant for academic… institutions only, web builder. for example, they wanted a secure customer portal & dashboard. all under the ask of a new “website”. it had ZERO security.

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Make Every Sprint Count with DevOps Analytics

Sisense

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. In this case, insights that can be responded to in order to optimize a sequence or a larger process quickly. there are multiple DevOps dashboards that can be created. Getting Started.

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Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

In the following sample code, we generate a report showing the quarterly sales for the year 2008. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select( We can also see the temporary data stored on Amazon S3 in the optimized Parquet format. options(**redshiftOptions).option("dbtable", options(**redshiftOptions).option("dbtable",

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Data Observability and Monitoring with DataOps

DataKitchen

When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Manual testing is performed step-by-step, by a person.

Testing 214
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. AI projects in financial services and health care. Image by Ben Lorica.

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Real-Real-World Programming with ChatGPT

O'Reilly on Data

And if I switch tabs to view a paper from 2008, then a song from 2008 could start up. To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022.