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In the InfoQ “Data Engineering Innovations” eMag, you’ll find up-to-date case studies and real-world data engineering solutions from technology SME’s and leading data practitioners in the industry.
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The InfoQ eMag: Modern Data Architectures, Pipelines, & Streams
In this eMag on “Modern Data Architectures, Pipelines and Streams”, you’ll find up-to-date case studies and real-world data architectures from technology SME’s and leading data practitioners in the industry.
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The InfoQ eMag - Modern Data Engineering: Pipeline, APIs, and Storage
In this second edition of the Modern Data Engineering eMag, we’ll explore the ways in which data engineering has changed in the last few years. Data engineering has now become key to the success of products and companies. And new requirements breed new solutions.
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InfoQ eMag: Modern Data Engineering
Data engineers and software architects will benefit from the guidance of the experts in this eMag as they discuss various aspects of breaking down traditional silos that defined where data lived, how data systems were built and managed, and how data flows in and out of the system.
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Big Data Processing with Apache Spark
In this mini-book, the reader will learn about the Apache Spark framework and will develop Spark programs for use cases in big-data analysis. The book covers all the libraries that are part of Spark ecosystem, which includes Spark Core, Spark SQL, Spark Streaming, Spark MLlib, and Spark GraphX.
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The InfoQ eMag: The Current State of NoSQL Databases
This eMag focuses on the current state of NoSQL databases. It includes articles, a presentation and a virtual panel discussion covering a variety of topics ranging from highly distributed computations, time series databases to what it takes to transition to a NoSQL database solution.
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InfoQ eMag: Hadoop
Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
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InfoQ eMag: Scalability
This eMag examines topics such as how Twitter re-architected its code-base to improve stability and performance, the approaches Netflix uses to be hyper-resilient, and how Java is replacing C++ for low latency coding. We also look at some lower level tricks such as feedback controls for auto-scaling, and using memory and execution profiling to identify performance bottlenecks in Java.
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InfoQ eMag: The Best of NoSQL
The InfoQ NoSQL eMag brings together a selection of popular NoSQL articles recently published on InfoQ.com. Get a complete overview of the current NoSQL movement, learn how NoSQL relates to the CAP Theorem, and get practical guidance on setting up and using a popular NoSQL database.
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