Systems | Development | Analytics | API | Testing

If you’re new to the world of large-scale data analytics, this session is for you! We'll cover the basics of what problems Apache Spark can solve, why and when to use Spark, and how Spark enables efficient use of time and computing hardware. We’ll also demonstrate how easy it is to run a PySpark job in the public cloud using the Data Science Workbench and Cloudera Data Engineering Products.

For our Linux machines, we've just doubled vCPUs from 2 to 4, from 4 to 8 and from 8 to 16. and we’ve also doubled memory on all Linux compute options, from 8 to 16 GB, from 16 to 32 GB and from 32 to 64 GB. This means your Android builds will now run on average 30% faster, using fewer credits per build than before.

Don’t miss our engaging conversation with Alex Rasmussen, Principal Cloud Economist at The Duckbill Group.

On this episode Lauren is joined by Michael Dortch; who now writes at DortchOnIt.com. Lauren and Michael discuss the importance of data and how it is all around. They also dive into how a data-oriented person is someone who is interested in how the facts line up, and figuring out how to make better decisions based on that information. Key Takeaways Quotes

In this episode of “Powered by Snowflake,” Daniel Myers chats with Uri May, Co-founder and CEO of Hunters, a three-year old company that is bringing new levels of data integration to the world of network security operations. “Our differentiator,” May explains, “is that we want to seamlessly integrate as much data as possible. And that is something Snowflake facilitates very well because of its ability to scale, its performance, and even its business model of paying for storage and compute with different credits. We believe that more data means better efficacy, more accuracy, and faster detection times.”

Teams with heavy testing workloads have to run thousands of test scripts in a short timeline. On top of that, they have to execute various types of tests, including web, mobile, API, and desktop, all on one CI/CD pipeline. Optimizing this testing workload is not easy, but it can be achieved and sustainably managed with the right platform. Get ready to learn.

Increased regulatory scrutiny around data security has created a challenge for media companies, which need to protect consumer privacy while also finding ways to use the consumer data they’ve collected to enhance their advertising and marketing efforts and deliver a superior consumer experience. It can be a delicate balancing act. But those companies who have adopted the Snowflake Media Data Cloud report that it is a balancing act they can manage efficiently.

TechCrunch and Cloudera invite you to a conversation about the data transformation underway that is changing how information is used and the very nature of business. The emerging data ecosystem will allow enterprises to work collaboratively with customers, partners and even competitors around the world to integrate disparate data sources for a more complete picture of their business’ present and future.

Protect your enterprise with unified data, near-unlimited visibility, and powerful analytics.

This week we introduce legibility improvements to PDF report output generated by Qlik Sense and the Qlik Reporting Service available working within in Qlik Application Automation.