PostgreSQL announces JDBC 42.2.0, pg_back version 1.4, and repmgr 4.0.2, new processor and tools, and more in today’s top stories around machine learning, deep learning,and data science news.
1. PostgreSQL releases JDBC 42.2.0, pg_back version 1.4, and repmgr 4.0.2
The changes within this JDBC version include:
- Support SCRAM-SHA-256 for PostgreSQL 10 in the JDBC 4.2 version ( Java 8+) using the Ongres SCRAM library. PR 842
- Make SELECT INTO and CREATE TABLE AS return row counts to the client in their command tags. Issue 958 PR 962
- Support Subject Alternative Names for SSL connections. PR 952
- Support isAutoIncrement metadata for PostgreSQL 10 IDENTITY column. PR 1004
- Support for primitive arrays PR#887 3e0491a
- Implement support for get/setNetworkTimeout() in connections. PR 849
- Make GSS JAAS login optional, add an option “jaasLogin” PR 922
To know more about this release visit the link here.
2. pg_back version 1.4 :
pg_back is a simple bash shell script for PostgreSQL that can dump all your databases to files.
It can operate on standby servers and takes care of pausing and resuming WAL(Write-Ahead Logging) replay. The 1.4 release brings support for PostgreSQL 10. To know more about the features visit the GitHub repo.
repmgr is PostgreSQL’s most popular tool for replication and failover management. The repmgr 4.0.2 has some usability enhancements and some minor bug fixes. The enhancements are as follows:
- Recognize the -t/–terse option for repmgr cluster event to hide the Details column
- Add “–wait-start” option for repmgr standby register
- Add %p event notification parameter for repmgr standby switchover
For a detailed list of the bug fixes visit the release notes here.
Microsoft released a Cumulative Update 10 for SQL Server 2014 SP2, which is CU10 – 4052725. These Cumulative updates (CU) are now available at the Microsoft Download Center. This update includes fixes that were released after the release of SQL Server 2014 SP2.
To know about these fixes in detail visit the Microsoft support blog.
PolySwarm, a decentralized threat intelligence market has been designed to reset the threat caused by the current cybersecurity ecosystem. PolySwarm is backed by Ethereum smart contracts and blockchain technology.
The PolySwarm platform:
- Defines a real-time threat detection ecosystem that encompasses enterprises, consumers, vendors and geographically diverse security experts.
- Will lower the barriers to entry, provide broader coverage options, discourage duplicative efforts and ensure interoperability among products and threat intelligence feeds.
Benefits of PolySwarm include:
- A legitimate income stream for security experts
- Puts the user first by providing them with timely access to broad, crowdsourced security expertise and triage.
- No future data is required to accurately classify a threat.
- In order to confirm “ground truth” or third-party trustless authorization it takes into account real expertise.
To read about the platform’s working in detail click on this link.
Videantis, a German intellectual property supplier, launched its sixth-generation v-MP6000UDX visual processing architecture and v-CNNDesigner tool.
The new v-MP6000UDX visual processing architecture :
- Adds deep learning capability to a solution that combines computer vision, image processing and video coding from a single unified SoC platform.
- Can be configured from a single media processor core to up to 256 cores, and is configurable based on the company’s own programmable DSP architecture.
- Includes an extended instruction set optimized for running convolutional neural nets (CNN), increases the multiply-accumulate throughput per core eightfold to 64 MACs per core, and extends the number of cores from typically 8 to up to 256.
The v-CNNDesigner tool :
- Enables easy porting of neural networks that have been designed and trained using frameworks such as TensorFlow or Caffe.
- Analyzes, optimizes and parallelizes trained neural networks for efficient processing on the v-MP6000UDX architecture.
- Fully automates the task of implementing a neural network on the low power processing architecture.
To read about both the architecture and the tool in detail visit the link given here.
Pegasus Solutions plans to launch a new cloud-based business intelligence solution, Pegasus Analytics. The brand new analytics solution would be demonstrated at HEDNA Global Distribution Conference, which will be held on January 29-31 in Austin, TX.
The analytics solution is designed to aid hotels to improve revenue, profitability and market share through a combination of visually rich, interactive context-driven dashboards, powerful data discovery capabilities, data and human knowledge.
- Supports revenue management and marketing goals by aggregating and pairing data collected and stored across different data sources, including CRS, PMS and Google Analytics, delivering actionable insights for impactful decision making.
- Eliminates the intensive tasks of accessing, inputting and analyzing data, and unlocks business-critical insights that hoteliers can immediately act upon.
- Enables hoteliers to communicate insights and data directly inside the platform through built-in collaboration and messaging features. This in turn reduces the time required to act upon the data.
- Hoteliers can now log in to analyze, interact and annotate historic and future performance data by channel, room type, rate, travel agent, consortia and other sources of business information.