Remove platform-engineer
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How Data Engineering Teams Power Machine Learning With Feature Platforms

Data Engineering Podcast

Summary Feature engineering is a crucial aspect of the machine learning workflow. In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features.

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Platform Engineering: Predictions and Prospects in 2023 & Beyond

Workfall

Reading Time: 7 minutes Platform Engineering has received a lot of attention, but there is some misunderstanding about what it is and, perhaps more importantly, how it differs from more well-known disciplines like SRE and DevOps. Platform Engineering is the rebranded DevOps or it is the next stage of DevOps evolution?

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Qdrant: Open-Source Vector Search Engine with Managed Cloud Platform

KDnuggets

Qdrant open-source vector similarity search engine is now available in the cloud. The cloud platform for Qdrant offers business users cost-efficient, fully managed service in addition to powerful features of their open-source vector search database.

Cloud 72
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Life Happens in Real Time, Not in Batches: Choosing a Data Streaming Platform and Stream Processing Engine

Confluent

Learn about the key capabilities of a data streaming platform and what factors to consider when choosing a stream processing engine like Apache Flink® to fuel use cases with real-time data.

Process 62
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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What Is A DataOps Engineer? Responsibilities + How A DataOps Platform Facilitates The Role  

Meltano

DataOps engineers. Get Started With DataOps In this guide, we’ll explain all you need to know about a DataOps engineer, including their key responsibilities, and how these experts use a DataOps platform, like Meltano , to optimize internal processes. What Is A DataOps Engineer? Designing data engineering assets.

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Employee Spotlight: Dipayan Bhowmick, Director of Engineering, Platform and Data Observability

Acceldata

Meet Dipayan Bhowmich, Director of Engineering at Acceldata focusing on Platform and Data Observability.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.