Data Science
Content on InfoQ
News about Data Science
AWS Launches Massive X1 Instances Targeting High Memory Workloads by Richard Seroter Posted on May 30, 2016
Google Details New TensorFlow Optimized ASIC by Dylan Raithel Posted on May 23, 2016
Precision Medicine Modeling Demonstration with Spark on EMR, ADAM, and the 1000 Genomes Project by Dylan Raithel Posted on May 19, 2016
3 weeks until QCon New York: New Talks, Podcasts, & Workshops by Wesley Reisz Posted on May 16, 2016
The Broad Institute Migrates Genome Sequencing Pipeline to Google Cloud Platform by Dylan Raithel Posted on May 13, 2016
Buddy Presents IoT-Enabled Lego City at Internet Of Things World 2016 by Kevin Farnham Posted on May 13, 2016
QCon SF 2016 Registrations Open, Program Committee Announced, & Last year’s Top 10 Lists by Wesley Reisz Posted on May 10, 2016
| All news |
Articles about Data Science
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
Lambda Functions versus Infrastructure - Are we Trading Apples for Oranges?
by
Dean Sheehan
Posted on
Apr 21, 2016
Key Takeaway Points and Lessons Learned from QCon London 2016
by
Abel Avram
Posted on
Apr 05, 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
Invokedynamic - Java’s Secret Weapon
by
Ben Evans
Posted on
Mar 22, 2016
1
| All articles |
Research on Data Science
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?
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
