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 1.3.0 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, 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.
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 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 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 component in its data pipeline initiative, a python-based data pipeline client library.
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.
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.
The latest version of Graph NoSQL database Neo4j introduces causal clustering and new security architecture. Neo4j team recently released version 3.1 of the graph database. Other new features include database kernel improvements and a Schema Viewer.
“Fast and Probably Good Seedings for k-Means” by Olivier Bachem et al. was presented on 2016’s Neural Information Processing Systems (NIPS) conference and describes AFK-MC2, an alternative method to generate initial seedings for k-Means clustering algorithm that is several orders of magnitude faster than the state of art method k-Means++.
Speedment released version 3.0.1 of their stream object-relational mapping Java toolkit and runtime application, featuring a new declarative Java 8 stream API, an improved user interface, and better code generation. InfoQ spoke to Per-Åke Minborg, co-founder and CTO of Speedment, about this latest release.
Julien Nioche, director of DigitalPebble, PMC member and committer of the Apache Nutch web crawler project, talks about StormCrawler, a collection of reusable components to build distributed web crawlers based on the streaming framework Apache Storm. InfoQ interviewed Nioche, main contributor of the project, to find out more about StormCrawler and how it compares to other similar technologies.
A Facebook team has recently published a comparison of the performance of their existing Giraph-based graph processing system with the newer GraphX which is part of the popular Spark framework. Their conclusion is that GraphX is neither sufficiently scalable or performant to support their graph processing workloads.
Julien Le Dem, the PMC chair of the Apache Arrow project, presented on Data Eng Conf NY on the future of column-oriented data processing. Apache Arrow is an open-source standard for columnar in-memory execution. InfoQ interviewed Le Dem to find out the differences between Arrow and Parquet.