Data Integration

Data Science Developer

How Data & Software Teams Can Collaborate to Ensure Smooth Data Integrations

This presentation was recorded at GOTO Conferences. ABSTRACT Imagine this scenario: The engineering team at your company is about to launch a new product or feature. The pressure is on the data team to deliver metrics and stats from the get-go, as everyone is keen to see how the new feature is performing. Behind the […]

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Data

Data Pipelines Explained

Data is a lot like water; it often needs to be refined as it travels between a source and its final destination. That’s where data pipelines come in – they merge, filter, and summarize raw data, providing the end user with a clean product to analyze. Luv Aggarwal, a Data Solution Engineer at IBM, explains […]

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Azure Synapse PowerBI

Why can’t I use Microsoft Fabric?

You’ve heard about all the great things with Microsoft Fabric, but you don’t see it in the portal. You only see the Power BI items and no persona switcher. What’s going on? Adam from Guy in a Cube shows you to enable Fabric for your tenant.

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AWS Data

AWS Glue 5th Anniversary Developer Retrospective | Amazon Web Services

AWS Glue serverless ETL and Data integration service celebrates its 5th anniversary. Watch this video to meet the engineers who built Glue from the ground-up, and hear their vision for Glue’s future.

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Data

Kafka in Action (Teaser) • Viktor Gamov & Tim Berglund • GOTO 2022

Viktor Gamov’s co-authored book “Kafka in Action” ensures that you have a list of recipes to dive into. Joined by Tim Berglund, VP DevRel at StarTree, they explore the fundamentals of Apache Kafka. Learn what Kafka can help you achieve, what Viktor’s favorite MCU film is and what “Highway to Mars” by Beast In Black […]

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Azure Big Data Data

Rerun Activities Inside Azure Data Factory Pipelines

Data integration is complex with many moving parts. It helps organizations to combine data and complex business processes in hybrid data environments. Failures are very common in data integration workflows. This can happen due to data not arriving on time, functional code issues in your pipelines, infrastructure issues, etc. A common requirement is the ability […]

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