BigQuery ML on the Google Cloud Platform democratizes machine learning by allowing data analysts and engineers to build and use machine learning models directly from SQL without using any higher level programming language.

Explore practical applications of Redis using Go, focusing on data caching, storage, and retrieval techniques for high-performance applications.

Learn how to build progressive web apps by understanding and implementing their building blocks.

This course will help you learn to build responsive reports that render across all devices and screen sizes perfectly. You'll learn designing, developing, and deploying responsive reports using SSRS, SSDT, and mobile report publisher tools.

This course brings any Big Data newbie up to speed on one of the most widely used open-source platform to build data pipelines - Apache Kafka.

In this talk, we will primarily bring up a search engine and build a React based web app within minutes.

Ready to understand table analysis in R? This course will teach you how to code and create important data tables in R.

Attendees will gain a step-by-step blueprint for building a data analytics academy, making the case to management, to identifying candidates and topics, to measuring its effectiveness.

Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high performance column-oriented SQL engine. Join data pro Russ Thomas on a demo-heavy dive into Redshift and build your first data warehouse on AWS.

In this course, you’ll see the entire workflow that data professionals use to produce their R analytics solutions.

In this course you'll quickly learn to create professional-looking reports for SQL Server Reporting Services using Microsoft Visual Studio.

Explore data analysis techniques to drive business performance and decision-making.