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Deep Learning at Gilt

by Alex Giamas on  Feb 19, 2017

Deep Learning is a rapidly evolving subfield of Machine Learning originating from Neural Networks. Recent algorithmic advances and utilization of GPU parallelization have resulted in Deep Learning based algorithms mastering the game of Go as well as several practical applications. The fashion industry is one of the target sectors for Deep Learning. Gilt is using Deep Learning for real world apps

Microsoft AirSim, a Simulator for Drones and Robots

by Abel Avram on  Feb 16, 2017

Microsoft has developed and open sourced AirSim, a tool that can be used to simulate the flight of drones around the world. The simulator is built on the Unreal Engine and Microsoft will soon add support for robots and other types of vehicles.

Apache Flink 1.2 Released with Dynamic Rescaling, Security and Queryable State

by Alexandre Rodrigues on  Feb 15, 2017

Apache Flink 1.2 was announced and features dynamic rescaling, security, queryable state, and more. The release resolved 650 issues, maintains compatibility with all public APIs and ships with Apache Kafka 0.10 and Apache Mesos support. Flink’s dynamic rescaling allows one to change the parallelism of a streaming job or of an operator within the job.

Data Geekery Releases Version 3.9.0 of jOOQ, a Java ORM Tool for Building Type Safe Queries

by Michael Redlich on  Feb 14, 2017 3

Data Geekery released version 3.9.0 of jOOQ, their object-relational mapping (ORM) Java toolkit, featuring an experimental parser, additional type safety, better integration with Oracle, and improved transactions. InfoQ spoke to Lukas Eder, founder and CEO of Data Geekery GmbH, about this latest release.

Getting Started with the SQL Server First Responder Kit

by Jonathan Allen on  Feb 09, 2017 6

Your SQL Server database is slowly grinding to a halt, your DBA is on vacation, and you don’t know where to start. This is when you break out the SQL Server First Responder Kit. This open source project consists of a set of scripts to help the DBA, or accidental DBA, fix and tune a SQL Server instance.

Google Pursues Enterprise, Targets Windows and SQL Server Workloads

by Kent Weare on  Feb 04, 2017

Google recently announced increased support for Microsoft Windows Server and SQL Server, in the Google Cloud Platform, by providing pre-configured images for Windows Server Core and SQL Server Enterprise Edition. Google has also added support for High Availability and Disaster Recovery scenarios using SQL Server AlwaysOn Availability Groups.

MindMeld’s Guide to Building Conversational Apps

by Abel Avram on  Feb 03, 2017

MindMeld, a conversational AI company, has published The Conversational AI Playbook, a guide outlining the challenges and the steps to be made to create conversational applications.

Apache HBase 1.3 Ships with Multiple Performance Improvements

by Alexandre Rodrigues on  Jan 30, 2017

Apache HBase 1.3.0 was released mid-January 2017 and ships with support for date-based tiered compaction and improvements in multiple areas, like write-ahead log (WAL), and a new RPC scheduler, among others. The release includes almost 1,700 resolved issues in total.

Apache Eagle, Originally from eBay, Graduates to top-level project

by Alexandre Rodrigues on  Jan 24, 2017

Apache Eagle, an open-source solution for identifying security and performance issues on big data platforms, graduates to Apache top level project on January 10, 2017. Firstly open-sourced by eBay on October 2015, Eagle was created to instantly detect access to sensitive data or malicious activities and, to take actions in a timely fashion.

Improving Azure SQL Database Performance Using In-Memory Technologies

by Kent Weare on  Jan 21, 2017 4

In late 2016, Microsoft announced the general availability of Azure SQL Database In-Memory technologies. In-Memory processing is only available in Azure Premium database tiers and provides performance improvements for On-line Analytical Processing (OLTP), Clustered Columnstore Indexes and Non-clustered Columnstore Indexes for Hybrid Transactional and Analytical Processing (HTAP) scenarios.

How 3rd Party Tools Nearly Killed Performance (and Culture) at Adidas

by Manuel Pais on  Jan 20, 2017

How the shoe and clothes giant manufacturer's IT tamed an out-of-control proliferation of third party tools in their global websites which was killing performance. Furthermore, this led to a blame culture setting in between business and IT. A new third party governance process focusing on performance data and user experience validation was key to stop the bleeding.

Kuzzle – An On-Premises Document Back-End

by Abel Avram on  Jan 12, 2017

Kuzzle is a document back-end that can run on-premises or in the cloud. The company behind this platform has recently announced the enterprise version of their solution during CES 2017.

Yelp Open-Sources Latest in Data Pipeline Project, Data Pipeline Client Library

by Dylan Raithel on  Jan 06, 2017

Yelp open sources latest component in its data pipeline initiative, a python-based data pipeline client library.

Mathieu Ripert on Instacart's Machine Learning Optimizations

by Alexandre Rodrigues on  Jan 05, 2017

Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience.

Google BigQuery Adds New Public Datasets

by Alex Giamas on  Jan 05, 2017

Stack Overflow recently announced making its dataset available through Google’s BigQuery. Using regular SQL statements, developers can query the full set of Stack Overflow data including posts, votes, tags, and badges. In this article we explore datasets that are available through Google's BigQuery platform.

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