News about Database
Neha Narkhede: Large-Scale Stream Processing with Apache Kafka by Ralph Winzinger Posted on Jun 19, 2016
LinkedIn Details Production Kafka Debugging and Best Practices by Dylan Raithel Posted on Jun 16, 2016
Data Streaming Architecture with Apache Flink by Srini Penchikala Posted on Jun 09, 2016
LinkedIn Details Open-Sourced Kafka Monitor by Dylan Raithel Posted on Jun 08, 2016
Confluent Platform 3.0 Supports Kafka Streams for Real-Time Data Processing by Srini Penchikala Posted on Jun 03, 2016 2
Query Optimizer Improvements in SQL Server 2016 by Jonathan Allen Posted on Jun 03, 2016
| All news |
Articles about Database
Everything is “Lock-in”: Focus on Switching Costs
by
Richard Seroter
Posted on
Jun 08, 2016
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
| All articles |
Research on Database
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.
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