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Generating Google Slides with BigQuery and Apps Script

Have you ever been asked to prepare a slide deck containing many data points? Maybe you sifted through the data yourself along with copying and pasting the data over and over again—talk about a huge time commitment. In this video, Leigha Jarett discusses how you can use Google Apps Scripts to automate data-driven slide development and save yourself a lot of time.

Managing Costs for Spark on Amazon EMR

Are you looking to optimize costs and resource usage for your Spark jobs on Amazon EMR? Then this is the webinar for you. Overallocating resources, such as memory, is a common fault when setting up Spark jobs. And for Spark jobs running on EMR, adding resources is a click away - but it’s an expensive click, so cost management is critical. Unravel Data is our AI-enabled observability platform for Spark jobs on Amazon EMR and other Big Data technologies. Unravel helps you right-size memory allocations, choose the right number of workers, and map your cluster needs to available instance types.

Expanding Your Analytics Audience: Make Information More Accessible with Natural Language Query

In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease. Unfortunately, today most analytics technologies still require specialized skills and expertise. As a business intelligence industry we try to overcome these obstacles by making self-service analysis easier with improvements to the user interface and streamlined processes. But we know that analysis, by nature, is complex and requires data literacy and skills.

More Throughput and Faster Execution for Interactive Use Cases: Now in Public Preview

Snowflake is the data backbone for thousands of businesses, enabling data access and governance needed to deliver value. Interactive use cases in some data applications and embedded analytics, however, pose a particular challenge. Traditionally, you needed an additional caching layer to provide the required speed and throughput these solutions require—which also increased costs and architectural complexity.

New Applied ML Prototypes Now Available in Cloudera Machine Learning

It’s no secret that Data Scientists have a difficult job. It feels like a lifetime ago that everyone was talking about data science as the sexiest job of the 21st century. Heck, it was so long ago that people were still meeting in person! Today, the sexy is starting to lose its shine. There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012.

Next Generation Analytics Consumption Is NOT About "Killing Dashboards"

As we get closer to the end of 2021, looking back the data and analytics technologies have evolved significantly over the last few years. We have seen the introduction of augmented analytics capabilities embracing user self-service and multimodal delivery of analytics insights. In addition, we have seen new data integration and catalog capabilities in response to the demands of new regulations and governance needs.