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Day: February 16, 2021

Franz announces Allegro NFS Server 7.0 for Windows

Franz Inc., supplier of graph database technology for knowledge graph solutions, announced Allegro NFS Server 7.0 for Windows with 64-bit performance and support for all current versions of the Windows operating system. Allegro NFS Server 7.0 delivers a high performance, easy-to-install solution for small and large enterprise-wide deployments. Allegro NFS was originally developed for Franz’s internal purposes due to dissatisfaction with free and commercial NFS Servers available on the market and the incredible technical difficulties faced in configuring them on Windows. Since 2002, Allegro NFS has been adopted by many Fortune 500 companies who want reliable and easy-to-configure access to Windows from NFS clients.

Allegro NFS Server 7.0, runs on all the current versions of the Windows operating system including Vista, Server 2003, Server 2008, Server 2012, Windows 7 (32 and 64-bit), Windows 8 (32 and 64-bit), and Windows 10 (32 and 64-bit). Allegro NFS also has version that to run on Windows XP. To evaluate or purchase Allegro NFS Server 7.0, go to,

Apache announces Apache Gobblin as a Top-Level Project

The Apache Software Foundation (ASF) announced Apache Gobblin as a Top-Level Project (TLP). Apache Gobblin is a distributed Big Data integration framework used in both streaming and batch data ecosystems. The project originated at LinkedIn in 2014, was open-sourced in 2015, and entered the Apache Incubator in February 2017. Apache Gobblin is used to integrate hundreds of terabytes and thousands of datasets per day by simplifying the ingestion, replication, organization, and lifecycle management processes across numerous execution environments, data velocities, scale, connectors, and more.

As a scalable data management solution for structured and byte-oriented data in heterogeneous data ecosystems, Apache Gobblin makes the task of creating and maintaining a modern data lake easy. It supports the three main capabilities required by every data team:

  • Ingestion and export of data from a variety of sources and sinks into and out of the data lake while supporting simple transformations.
  • Data Organization within the lake (e.g. compaction, partitioning, deduplication).
  • Lifecycle and Compliance Management of data within the lake (e.g. data retention, fine-grain data deletions) driven by metadata.

Apache Gobblin software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project’s day-to-day operations, including community development and product releases.

DataRobot announces Feature Discovery integration with Snowflake

DataRobot announced the latest integration with Snowflake. Building off of DataRobot’s expanded partnership and existing integration with Snowflake, the new Feature Discovery pushdown integration improves the speed and accuracy of developing models, unlocking new use cases. DataRobot’s Feature Discovery, which has been a part of the DataRobot enterprise AI platform since 2019, automatically discovers, tests, and creates hundreds of valuable new features for machine learning models. This improves models’ accuracy, increasing an organization’s ability to make accurate predictions.

The new Feature Discovery integration with Snowflake delivers this capability to Snowflake users, pushing down data preparation operations into Snowflake to minimize data movement resulting in faster performance and lower operating costs. This allows users to obtain more accurate DataRobot models by accessing more data from Snowflake and leveraging the power of Snowflake’s Data Cloud. With Feature Discovery, the joining, aggregating, and creation of derived features from datasets is done automatically using data science best practices. This lets users build better machine learning models in less time and drive more innovation with AI.

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