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The State of Data Engineering in 2023: Does Your Data Program Stack Up?

Ascend.io

This means not only understanding where you stand, but also recognizing how the evolving patterns in the broader industry might align with or diverge from your own data programs. Over the past four years, we have conducted an industry-wide DataAware Pulse Survey to capture the current state of data teams.

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Demystifying Modern Data Platforms

Cloudera

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. Luke: What is a modern data platform?

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Fast Analytics On Semi-Structured And Structured Data In The Cloud

Data Engineering Podcast

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from mere terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. How does it manage distribution, balancing, and durability of the data?

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Build Maintainable And Testable Data Applications With Dagster

Data Engineering Podcast

In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Building 100
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Escaping Analysis Paralysis For Your Data Platform With Data Virtualization

Data Engineering Podcast

Summary With the constant evolution of technology for data management it can seem impossible to make an informed decision about whether to build a data warehouse, or a data lake, or just leave your data wherever it currently rests. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Data Lake 100
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Data Orchestration For Hybrid Cloud Analytics

Data Engineering Podcast

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Cloud 100
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Forrester – Chart Your Course To Insights-Driven Business Maturity

DataKitchen

The fourth phase involves ensuring “that your IDB processes and applications are based on a scalable, future-proof, and discoverable data architecture, such as a data fabric ,” and data mesh. Your DataOps practice, established in the second phase provides a solid foundation for your successful Data Fabric or Data Mesh.