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Building A Data Lake For The Database Administrator At Upsolver

Data Engineering Podcast

Summary Data lakes offer a great deal of flexibility and the potential for reduced cost for your analytics, but they also introduce a great deal of complexity. 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.

Data Lake 100
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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Announcements 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 our friends at Linode.

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StreamNative Brings Streaming Data To The Cloud Native Landscape With Pulsar

Data Engineering Podcast

You monitor your website to make sure that you’re the first to know when something goes wrong, but what about your data? Tidy Data is the DataOps monitoring platform that you’ve been missing. What motivates you to dedicate so much of your time and enery to Pulsar in particular, and the streaming data ecosystem in general?

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Data Engineering Weekly #138

Data Engineering Weekly

The platform approach to enable the citizen machine learning engineers is a great perspective while building both the Data & ML platform. Architectural patterns like Lambda Architecture and Kappa Architecture emerged to bridge the gap between real-time and batch data processing.

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Data Ingestion: 7 Challenges and 4 Best Practices

Monte Carlo

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Data ingestion is the process of acquiring and importing data for use, either immediately or in the future.

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Apache Spark Use Cases & Applications

Knowledge Hut

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.