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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

To understand this concept in a practical context, check out this video featuring an explanation from analyst Sonya Fournier: Now that we’ve explored BI in a real-world professional context, let’s look at the benefits of embarking on this occupation. 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

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Real-Real-World Programming with ChatGPT

O'Reilly on Data

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. For instance, problems like “write a Python function that takes a list of names, splits them by first and last name, and sorts by last name.”

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Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio

AWS Big Data

Kinesis Data Analytics for Apache Flink is a fully managed Apache Flink service. You only need to upload your application JAR or executable, and AWS will manage the infrastructure and Flink job orchestration. Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time.

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Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

Tracking and managing a small number of experiments that deal with data in Excel is fairly straightforward. To properly scale data science, companies need a holistic system to develop, deploy, monitor, and manage models at scale – a system of record for their data science. Why Snowflake UDFs.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. Introduction. Welcome back to our monthly burst of themespotting and conference summaries. In mid-July I got to attend Sci Foo , held at Google X. Ever heard of it before?

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Some vendors showcased their customer use cases. In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Introduction. Welcome back to our monthly series about data science. Modernists and structuralists beware. Yeah, not so much.