InfoQ Homepage Database Content on InfoQ
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Apache Spark Plus Many Other Frameworks: How Spark Fits into the Big Data Landscape
Paco Nathan keynotes on how Spark fits into the big data landscape, describing what other systems work with Spark, and explaining why Spark is needed in the future.
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Getting Real with the MapR Platform
Jim Scott keynotes on the history of Hadoop, the difficulties that this technology has gone through, exploring the reasons why enterprises need to evaluate their targets and prepare for the future.
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What's New in Spring Data?
This talk provides a broad overview of the new features introduced in the latest Spring Data release trains: recent additions in Spring Data Commons and the latest features of individual store modules
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Structure, Personalization, Scale: A Deep Dive into LinkedIn Search
The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.
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The Business Value of Big Data Driven by the Internet of Everything
John Zamierowski discusses the business benefits of big data coming from the Internet of Everything, focusing on the "Why" and "How" of big data and current developments in sensor technology.
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Scaling Chartbeat from 8 Million Open Browsers to Realtime Analytics and Optimization
Wesley Chow presents Chartbeat's real-time analytics platform and how able to handle the requests in a cost efficient manner using a custom written analytics engine in C and Lua.
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NoSQL Like There is No Tomorrow
The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.
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Introduction to Data Science
Bryan Nehl makes an introduction to the data science: data formats, ETL tools, NoSQL databases, languages, libraries, techniques and approaches for exploring data and extracting value from it.
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An Introduction to Spring Data
Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.
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Persistence: A View from Stratosphere
Stefan Edlich discusses big data systems -Spanner, Presto- and the future of data persistence, data analytics, data formats and of NoSQL/NewSQL in general.
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Leveraging Big Data for Payment Risk Management
John Canfield discusses the changing payment ecosystem, innovations in mining and organizing unstructured data from many sources, and approaches to deciding for loss minimization and user experience.
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Graph Search: The Power of Connected Data
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
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