InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Hadoop-as-a-Service Provider Qubole Now Runs on Google Compute Engine
Qubole, a managed Hadoop-as-a-Service offering is now available on Google Compute Engine (GCE). Qubole was so far only available on Amazon's AWS and this announcement follows only a few days after Google releasing GCE into general availability.
-
Martin Fowler on Data Austerity
Martin Fowler writes about the opposite of Big Data, Datensparsamkeit. This German word roughly translates to “data austerity” or simply “not storing more than you need”.
-
A Survey and Interview on How Hadoop Is Used Today
This post presents the results of a Hortonworks survey of over 500 Hadoop Summit 2013 attendees on how they use Hadoop, and an interview with David McJannet on Hadoop trends today.
-
Big Data at Netflix Drives Business Decisions
Jeff Magnusson from Netflix team gave a presentation at QCon SF 2013 Conference about their Data Platform as a Service. Following up to this presentation, we will look at the technology stack and how it helps Netflix to tackle important business decisions.
-
Open Source SQL-in-Hadoop Solutions: Where Are We?
With Facebook recently releasing Presto as open source, the already crowded SQL-in-Hadoop market just became a tad more intricate. A number of open source tools are competing for the attention of developers: Hortonworks Stinger initiative around Hive, Apache Drill, Apache Tajo, Cloudera’s Impala, Salesforce’s Phoenix (for HBase) and now Facebook’s Presto.
-
Amazon re:invent roundup
Amazon announced a number of new services at the recent re:invent conference in Las Vegas: Amazon WorkSpaces - Desktop Computing in the Cloud, Identity and Access Management using SAML, Amazon AppStream - Delivering Streaming Applications from the Cloud, Amazon Kinesis - Streaming Big Data, CloudTrail - Capturing AWS API Activity, Postgres support in RDS and new EC2 instance types
-
Increasing Pace of Change Drives Agile In Enterprise Applications
The pace of organizational change and technology adoption is increasing which means that enterprise software development needs to find ways to keep pace with these changes. The rise of big data is also driving the need to undertake many experiment and adapt rapidly. Blogger Matt Asay recently wrote about this in a post titled "Hey, Enterprise Developers! Get Agile Or Get Steamrollered"
-
Streaming Big Data With Amazon Kinesis
Amazon recently announced Kinesis, a service that allows developers to stream large amounts of data from different sources and process it. The service is currently in limited preview.
-
Cascading 2.5 Supports Hadoop 2
New version of Cascading released this week incorporates Hadoop 2 support and includes Cascading Lingual - an open source project that provides a comprehensive ANSI SQL interface for accessing Hadoop-based data
-
Presto: Facebook’s Distributed SQL Query Engine
Facebook has open-sourced Presto, their distributed SQL query engine. Presto uses a pipelined architecture rather than the Map/Reduce design found elsewhere. In production since early this year, Facebook has since “deployed in multiple geographical regions and [they] have successfully scaled a single cluster to 1,000 nodes”.
-
SQL Makes a Comeback through NewSQL
New database developments indicate a return to SQL, but not by running the traditional relational stores on bigger and better hardware, not even on sharded architectures, but through NewSQL solutions.
-
Current Trends in NoSQL - Q&A with Peter Bell
Peter Bell shares insights on the latest trends in NoSQL, a rapidly evolving category of database storage that covers a wide variety of solutions.
-
AnyPresence Soups up Enterprise MBaaS Platform- Part 1 of 2
Mobile Backend as a Service provider AnyPresence continues to hone their chops. Launching the fifth update to their self-titled platform geared for the enterprise. Co-founder Rich Mendis provides some insights for InfoQ readers…
-
NuoDB Blackbirds 2.0 Gets Geo-distributed Capability
NuoDB has announced version 2.0 of their NewSQL database, now a globally distributed database that can run in the cloud or on premises with real-time replication.
-
Java In-Memory Data Grid Hazelcast 3.0 Supports Continuous Queries and Entry Processing
Latest version of open source Java In-Memory Data Grid Hazelcast supports entry processing, multi-thread execution, continuous queries and lazy indexing. They have also re-implemented all of the existing distributed objects like map, queue, executor service using Service Provider Interface (SPI).