Do you use big data and streaming services - such as Azure HDInsight, Databricks, and Kafka/EventHubs? Do you have on-premises big data that you want to move to Azure? Keeping costs down in Microsoft Azure is difficult, but vital. Join Chris Santiago of Unravel Data and explore how to to reduce, manage, and allocate streaming data and big data costs in Azure.

The move to cloud may be the biggest challenge, and opportunity, facing IT departments today. In this 45-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to the cloud quickly, cost-effectively, and with high performance for the newly cloud-based workloads. Tune in to find out the best way to de-risk your cloud migration projects with data driven insights.

Testing a sign up flow using Rainforest Automation, which is a no code testing platform for automated and manual QA testing. This shows a few advanced features useful in testing sign up flows, including data generation, email workflows and encapsulating common actions in embedded tests. This kind of automated end-to-end test is impossible with traditional test automation.

Join Dr Ariel Biller, AllegroAI's evangelist in a webinar discussing Deep Learning data challenges and tools to overcome them

Teams are looking for every opportunity to do more with less. Companies want to get to market faster, while reducing costs with automation. To accomplish these goals, it is critical to allow the developers to use DevOps processes and re-use existing Services to drive speed and innovation. In this Workshop, we'll discuss how Kong enables spec-based development to provide consistent APIs, documentation and automate deployments with Kong, using GitOps.

Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. This is machine learning packaged in a turn-key solution – no data science experience needed.

Spark has become the de-facto processing framework for ETL and ELT workflows for good reason, but for many enterprises working with Spark has been challenging and resource-intensive. Leveraging Kubernetes to fully containerize workloads, DE provides a built-in administration layer that enables one-click provisioning of autoscaling resources with guardrails, as well as a comprehensive job management interface for streamlining pipeline delivery. DE enables a single pane of glass for managing all aspects of your data pipelines.

Ari Margalit, VP Architecture & Data Solutions of Anheuser Busch InBev, discusses how he transformed ABI into a technology organization by building a data ecosystem, BrewDat that incorporates advancing analytics that aid in decision making & creating project portfolios. Rise of the Data Cloud is brought to you by Snowflake.