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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

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Managing The DoorDash Data Platform

Data Engineering Podcast

Summary The team at DoorDash has a complex set of optimization challenges to deal with using data that they collect from a multi-sided marketplace. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

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Data Engineering Weekly #115

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today. So far, we have published. The response humbles me.

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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications. To some, the word Apache may bring images of Native American tribes celebrated for their tenacity and adaptability. For this, we have a short, engaging video.

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The Rise of Streaming Data and the Modern Real-Time Data Stack

Rockset

Companies that undertook big data projects ran head-long into the high cost, rigidity and complexity of managing complex on-premises data stacks. Long gone are the days when employees would use old school ERP systems to reorder supplies. Lifting-and-shifting their big data environment into the cloud only made things more complex.

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What is a Data Platform? And How to Build An Awesome One

Monte Carlo

By integrating tools from a variety of vendors, a data platform enables a data engineering team to not only manage an organization’s data but also activate it for a domain’s use cases. From data sources and use cases to industry and company size, how a company structures its data platform will depend on a variety of critical factors.