The cloud-led journey to digital transformation requires organizations to become significantly more data-driven, yet traditional data warehouses have difficulty with new data volumes, new data types, and a variety of use cases. In this session, we will show you how Cloudera Data Warehouse offers a guide to your cloud journey by offering a modern hybrid cloud solution for an unprecedented scale that delivers insight to every part of your organization, faster while saving costs.

This video describes Zeppelin Architecture and Operational Workflow.

Michael Leznik - Head of Data Science Matthieu Glotz - Data Scientist Yaron Haviv - CTO & Co-Founder We discuss how technology and new work processes can help the gaming and mobile app industries predict and mitigate 1st-day (or D0) user churn in real time — down to minutes and seconds using modern streaming data architectures such as KAPPA. Also, we explore feature engineering improvements to the RFM (Recency, Frequency, and Monetary) churn prediction framework: The Discrete Wavelet Transform (DWT).

In this video, Kevin Chen, Developer Advocate at Kong, will explain how to set up Prometheus monitoring with Kong Gateway to get black box metrics and observability for all of your services deployed on Kubernetes. This guide can also be applied to other solutions like StatsD, Datadog, Graphite, InfluxDB etc.

As a recognized leader in embedded analytics, Yellowfin has been designed and built to enable you to embed amazing analytical experiences into your software. From a highly integrated dashboard module and full self service reporting, to enabling best practice integration that blurs the lines between analytics and your application and workflows. Modernize your reporting environment with Yellowfin to ensure your customers engage with your data, discover insights faster through automation and innovate with contextualised analytics.

Big data leaders are no doubt being challenged with market uncertainty. Data-driven insights can help organizations assess, and uncover market risk and opportunities that may arise during uncertain times. As businesses around the world adapt to digitization initiatives, modern data systems have become more mission critical toward continuity and competitive differentiation.

The growing waves of data that you’re pulling in include sensitive, personal or confidential data. This can become a compliance nightmare, especially with rules around PII, GDPR and CCPA, and it takes too much time to manually decide what should be protected. In this session, we will show how AI-driven data catalogs can identify sensitive data and share  that identification with your data security platforms to automate its discovery, identification and security.  You'll see how this dramatically reduces your time to onboard data and makes it safely available  to your business  communities.

Flappy bird multiplayer gameplay

Join this session of Snowflake's Group By featuring Lenny Fishler where he shares How Snowflake with Mongo ChangeStreams can drive near real-time business intelligence