Wolfram Wants to Deliver “Computation Everywhere” with New Private Cloud by Richard Seroter Posted on Oct 26, 2016
Stream Processing and Lambda Architecture Challenges by Alexandre Rodrigues Posted on Oct 19, 2016 4
Jay Kreps on Distributed Stream Processing with Apache Kafka and Kafka Streams by Srini Penchikala Posted on Oct 16, 2016
Reactive Summit 2016 Conference: Reactive Microservices and Staging Data Pipelines by Srini Penchikala Posted on Oct 08, 2016
Confluent Announces Kafka for the Enterprise with Multi-Datacenter Replication by Srini Penchikala Posted on Oct 05, 2016
Advanced Use Cases for the Repository Pattern in .NET by Jonathan Allen Posted on Oct 25, 2016 1
Implementation Strategies for the Repository Pattern with Entity Framework, Dapper, and Chain by Jonathan Allen Posted on Oct 14, 2016 1
Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform by Srini Penchikala Posted on Oct 13, 2016
A Quick Primer on Isolation Levels and Dirty Reads by Jonathan Allen Posted on Oct 07, 2016
Traffic Data Monitoring Using IoT, Kafka and Spark Streaming by Amit Baghel Posted on Sep 28, 2016 4
Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines by Srini Penchikala Posted on Sep 24, 2016
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.
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.
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.