Database Content on InfoQ

50:32

GoshawkDB: Making Time with Vector Clocks by Matthew Sackman Posted on May 29, 2016

37:06

Predicting the Future: Surprising Revelations trom Truly Big Data by Pushpraj Shukla Posted on May 24, 2016

48:25

Staying in Sync: from Transactions to Streams by Martin Kleppmann Posted on May 20, 2016

40:32

Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year by Peter Bakas Posted on May 19, 2016

41:26

Hunting Criminals with Hybrid Analytics by David Talby Posted on May 10, 2016

47:42

Resilient Predictive Data Pipelines by Sid Anand Posted on May 06, 2016

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Articles about Database

Martin Van Ryswyk on DataStax Enterprise Graph Database by Srini Penchikala Posted on May 17, 2016 1

Big Data Processing with Apache Spark - Part 4: Spark Machine Learning by Srini Penchikala Posted on May 15, 2016

High Load Trading Transaction Processing with Reveno CQRS/Event Sourcing Framework by Artem Dmitriev Posted on Mar 29, 2016 1

The Role of a Data Scientist in 2016 by Ed Jones Posted on Mar 27, 2016

Spark in Action Book Review & Interview by Srini Penchikala Posted on Mar 18, 2016

Unified Data Modeling for Relational and NoSQL Databases by Allen Wang Posted on Feb 28, 2016 5

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Books about Database

The Morning Paper Quarterly Review

InfoQ eMag: Graph Databases

InfoQ eMag: Hadoop

InfoQ eMag: Scalability

InfoQ eMag: The Best of NoSQL

Good Relationships

All Books

Interviews about Database

28:42

Mik Kersten on Current and Future ALM Trends by Mik Kersten Posted on Nov 07, 2015

24:52

Martin Kleppmann on Using Logs for Building Data Infrastructure, CAP, CRDTs by Martin Kleppmann Posted on Jun 28, 2015

37:35

Sadek Drobi on Architecture, Scala by Sadek Drobi Posted on Jun 21, 2015

08:45

Interview with Jay Jay Billings on the Eclipse Science Working Group by Jay Jay Billings Posted on Jun 10, 2015

22:08

Neha Narula on the Latest Research in Databases, Transactions, Distributed Programming by Neha Narula Posted on Jun 08, 2015

23:56

Matthew Skelton on DevOps and Continuous Delivery Challenges by Matthew Skelton Posted on Apr 28, 2015

All interviews

Emerging Trends in Big Data Technologies Big Data technologies have been getting lot of attention over the last few years. There are several trends and innovations happening in this space. InfoQ would like to learn what new trends in Big Data you are currently using or planning on using in the future. 2

Hadoop ecosystem capabilities: What to add next? The last 5 years the Hadoop ecosystem has expanded rapidly to satisfy for various production needs. Most recently a number of real-time workloads and tools have been brought to this new generation data processing and management platform.

NoSQL: Emerging Trends and Innovations NoSQL Databases have been getting lot of attention over the last few years. There are several trends happening in this space and we would like to learn what new NoSQL database products you are using.

Τrends of different Big Data Solutions Various Hadoop-based solutions for a new generation of data management have disrupted the market of traditional data processing and management systems in recent years. There is no longer a question on whether enterprises need a big data strategy - it has become a fact! But the questions remains - when and how to migrate?

How Do You Access Your Relational Data from Java? The Java language and platform offers a vast range of options when it comes to working with relational data, from raw JDBC to fully blown Object/Relational mapping (ORM) tools. 13

NoSQL Database Adoption Trends In this research survey on NoSQL database adoption trends, InfoQ would like to learn what NoSQL databases you are currently using or planning on using in your applications. 18