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Build an Actionable Customer 360 in the Data Cloud with Hightouch Events

Snowflake

Easily collect and store digital events directly to create a complete composable customer data platform (CDP) Marketers are increasingly leveraging the Snowflake Data Cloud as the foundation for all of their customer data analytics and activation. Reverse ETL : Activate data to 200+ downstream tools with SQL, dbt and more.

Cloud 91
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Build A Data Lake For Your Security Logs With Scanner

Data Engineering Podcast

Summary Monitoring and auditing IT systems for security events requires the ability to quickly analyze massive volumes of unstructured log data. What are the data acquisition paths/sources that you are designed to work with?- How have the design and goals of the product changed since you first started working on it?

Data Lake 147
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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud. We’ve observed organizations using more and more data sources and destinations , as well as expecting a more diverse range of developers to build data movement flows. Enabling self-service for developers.

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Building an an Early Stage Startup: Lessons from Akita Software

The Pragmatic Engineer

Venture funding is on a downward trend , and we seem to be at the start – or the middle – of a “startup purge” event. This news is hot off the press, publicly announced by Postman and by Akita yesterday, and you are among the early ones to hear about this event. We pivoted to API observability in 2020.

Building 201
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Building A Real Time Event Data Warehouse For Sentry

Data Engineering Podcast

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. Go to dataengineeringpodcast.com/conferences to learn more about these and other events, and take advantage of our partner discounts to save money when you register today. What did the previous system look like?

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119
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Exploring The Nuances Of Building An Intential Data Culture

Data Engineering Podcast

It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. What do you have planned for the future of this topic at Data Council events?

Building 147