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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

In 2013, less than 0.5% While you’re waiting to get your hands on your copy, take a look at our dashboard storytelling tips to find out how to tell a great story after learning how to make a dashboard in nine simple steps. Why You Need To Read Data Science Books. of all available data was analyzed, used, and understood.

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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead.

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7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

A vast majority of occasions where data is presented (reports, executive dashboards, conference presentations, or just plain here's a automated emailed thingy from Google Analytics ) end up being abject failures because most of the discussion is still about the data. When you design dashboards this is absolutely critical.

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Capital One Offers Cost Controls for Cloud Data Warehouses

David Menninger's Analyst Perspectives

The journey to the launch of Capital One Software can be traced back to 2013 and the adoption by Capital One’s internal IT team of a new agile development approach that embraced RESTful application programming interfaces, decentralized and collaborative development and cloud computing.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

But today, dashboards and visualizations have become table stakes. Think your customers will pay more for data visualizations in your application? Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Build a RAG data ingestion pipeline for large-scale ML workloads

AWS Big Data

Set up the Ray dashboard Before you set up the Ray dashboard, you should install the AWS Command Line Interface (AWS CLI) on your local machine. Complete the following steps to set up the dashboard: Install the Session Manager plugin for the AWS CLI. You will see the Ray dashboard and statistics of the jobs and cluster running.

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Delivering More Impactful Insights From Your Cloud Data

Sisense

A cloud environment is designed to bring data together and serve it back through dashboarding, allowing the data to transform without moving it, join it to other data internally or externally, and compute that data and augment it, and write all of it back to Snowflake using Sisense. Better decisions, stronger businesses.