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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

In this episode Shruti Bhat gives her view on the state of the ecosystem for real-time data and the work that she and her team at Rockset is doing to make it easier for engineers to build those experiences. Can you describe what is driving the adoption of real-time analytics?

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StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Data Engineering Podcast

Pulsar is a well engineered and robust platform for building the core of any system that relies on durable access to easily scalable streams of data. What is Pulsar’s role in the lifecycle of data and where does it fit in the overall ecosystem of data tools? Can you start by giving an overview of what Pulsar is?

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Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63

Data Engineering Podcast

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out Linode.

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Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

Data Engineering Podcast

In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset. Can you start by giving an overview of the state of the market for data lakes today?

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Maintaining Your Data Lake At Scale With Spark

Data Engineering Podcast

This conversation was useful for getting a better idea of the challenges that exist in large scale data analytics, and the current state of the tradeoffs between data lakes and data warehouses in the cloud. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference.

Data Lake 100
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Data Pipeline Architecture: Understanding What Works Best for You

Ascend.io

This article aims to shed light on the essential components of successful data pipeline architectures and offer actionable advice for creating scalable, reliable, and resilient data pipelines. Ready to fortify your data management practice? Let’s dive into the world of data pipeline architecture.

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Building A Data Lake For The Database Administrator At Upsolver

Data Engineering Podcast

What used to be entirely managed by the database engine is now a composition of multiple systems that need to be properly configured to work in concert. In order to bring the DBA into the new era of data management the team at Upsolver added a SQL interface to their data lake platform. We talked last in November of 2018.

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