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Unravel

Mastering Databricks Environments with Unravel Data

Databricks is a great solution for customers looking to unlock the powerful use cases that Spark enables, with the high performance of Databricks and the convenience of a managed service. Databricks is available in AWS, Microsoft Azure, and GCP clouds. If you are already a Databricks customer, you want to get the most out of your investment - and if you're considering Databricks, you'll be wondering how hard it is to move to the platform, and how to optimize your investment once you get there.

How to get Observability for Apache Airflow

Observability of Apache Airflow presented by Ry Walker, Founder & CTO at Astronomer. Apache Airflow has become an important tool in the modern data stack. We will explore the current state of observability of Airflow, common pitfalls if you haven't planned for observability, and chart a course for where we can take it going forward.

DataOps Unleashed Things You May Not Know About Apache Kafka but Should

Things You May Not Know About Apache Kafka but Should presented by Patrick Druley, Senior Solution Engineer at Confluent. In this session, you will learn about some of the common misconceptions, best practices, and little-known facts about Apache Kafka. Event Streaming has changed the way businesses think about data movement and integration. If you are new to Kafka or having been creating topics and developing clients for years, there's something for everyone in this fun and informative session.

DataOps Unleashed Dataops Automation and Orchestration With Fivetran, Dbt, and the Modern Data Stack

Dataops Automation and Orchestration With Fivetran, Dbt, and the Modern Data Stack presented by Nick Acosta, Developer Advocate at Fivetran. Many organizations struggle with creating repeatable and standardized processes for their data pipeline. Fivetran reduces pipeline complexity by fully managing the extraction and loading of data from a source to a destination and orchestrating transformations in the warehouse.

Prepare Your Data - The Self-Service Data Roadmap, Session 2 of 4

In this webinar, Unravel CDO and VP Engineering Sandeep Uttamchandani describes the second step for any large, data-driven project: the Prep phase. Having found the data you need in the Discover phase, it's time to get your data ready. You must structure, clean, enrich, and validate static data, and ensure that "live," updated or streamed data events are continually ready for processing.

Why DataOps is Critical for Your Business

Data is often compared to oil – it powers today’s organizations, just like the fossil fuel powered companies of the past. Just like oil, the data that companies collect needs to be refined, structured, and easily analyzed in order for it to really provide value in the form of gaining actionable insights. Every organization today is in the process of harnessing the power of their data using advanced analytics, which is likely running on a modern data stack.