InfoQ Homepage Database Content on InfoQ
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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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The InfoQ eMag: DevOps for the Database
In this eMag, we discuss the unique aspects of databases, both relational and NoSQL, in a successful continuous integration environment.
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The InfoQ eMag: Perspectives on GDPR
This eMag addresses three overlapping but distinct perspectives on the impact of GDPR - customers will be thankful, our reputation will be safeguarded, and crippling fines will be avoided.
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The InfoQ eMag: Microservices - Patterns and Practices
While the underlying technology and patterns are certainly interesting, microservices have always been about helping development teams be more productive. Experts who spoke about microservices at QCon SF 2017 did not simply talk about the technical details of microservices, but included a focus on the business side and more human-oriented aspects of developing distributed software systems.
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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: Cloud Native Patterns & Practices
In this eMag, the InfoQ team pulled together stories that best help you understand this cloud-native revolution, and what it takes to jump in. It features interviews with industry experts, and articles on key topics like migration, data, and security.
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The Morning Paper Issue 6 - Computer Science Applied
Subtle production failures running Microsoft Azure, identifying users from aggregated mobile data, taking over a city with Philips Hue lightbulbs, processing a trillion edge graph on a single machine, and why Rust should be your systems language of choice.
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The InfoQ eMag: Getting a Handle on Data Science
This eMag looks at data science from the ground up, across technology selection, assembling raw and unstructured data, statistical thinking, machine learning basics, and the ethics of applying these new weapons.
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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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The Morning Paper Quarterly Review Issue 2
A summary of five CS papers chosen from the 55 that Adrian Colyer has reviewed for his Morning Paper blog during Q2 2016. Amongst the five papers in the magazine Colyer takes a look at how Facebook collect and analyse over 1 trillion data points per day across 2 billion unique time series, and the technology behind bots on Q&A systems like Siri, Cortana, Alexa et al.
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Live Webinar presented by Monte Carlo |
Q&A moderated by InfoQ
Building Field-Level Lineage for Modern Data Systems
Lineage is a critical component of any root cause, impact analysis, and overall analytics heath assessment workflow. But it hasn’t always been easy to create. In this session, you'll tackle this challenge head-on by leveraging some of the most popular tools in the modern data stack.