DataRobot Core helps data scientists create sophisticated ML models
This latest platform release offers more sophisticated analytical capabilities that enhance decision intelligence.
DataRobot Inc. announced their new product named “DataRobot Core”. The product aims to automate artificial intelligence allowing data scientists to create high-end machine learn... Read more
Talend adds Spark 3 support and cloud private link support
Talend, the data integration provider, is enhancing security by improving the self-service features and adding support for the latest release of the Apache Spark analytics framework in a new version of its Talend Data Fabric.
Talend can now integrate natively with Spark 3.0, which was released j... Read more
NetApp acquires Data Mechanics to utilize Spark Analytics
NetApp acquires Data Mechanic to enable their customers to use the Apache Spark analytics engine on Kubernetes’s platform for optimization purposes.
NetApp has revealed that it has acquired Data Mechanics, a startup providing cloud analytics and big-data processing on an enterprise-scale throu... Read more
NetApp releases Spot services for Azure and Apache Spark
The release of Spot Wave, a data management service for Apache Spark, is NetApp’s way of adding Azure Kubernetes Services to the list of Kubernetes-orchestrated container app deployment services supported by Spot Ocean.
NetApp acquired Spot and its containerized app deployment tech in June 202... Read more
Apache Spark gains .NET support
Microsoft and the .NET Foundation released version 1.0 of .NET for Apache Spark. The package enables developers to use Spark in .NET programming languages such as C# and F#.
To develop the package, a team of people from Azure Data Engineering, the Mobius project and .NET was put together.
Big... Read more
Will Databricks lakehouses change the AI and data world?
Databricks is convinced that the lakehouse will help them kick-start a new industry trend. After data warehouses advanced the business intelligence (BI) world and data lakes simplified data science, the next step should be a data pool to support all kinds of applications. Are we entering a new era,... Read more
Google launches Kubernetes support for Cloud Dataproc
Google Cloud Dataproc, a Google Cloud service for running Apache Spark and Hadoop clusters, will be released for Kubernetes. The service ensures that users of Apache Spark and Hadoop don't have to manage their infrastructure.
Cloud Dataprox will initially be launched as an alpha version on Kuber... Read more
LinkedIn tool prepares data for TensorFlow
LinkedIn has created an internally built open source tool. This is Avro2TF, a conversion tool that transforms data from Apache Spark to a format that can easily be used by TensorFlow, for machine learning purposes.
The new tool allows data scientists and other users to convert data sets in Apache Av... Read more
Google now lets Apache Spark applications run native on Kubernetes clusters
Google has announced that applications and workloads for data engineering and machine learning applications within the Apache Spark framework can now run within Kubernetes clusters. The Spark Operator tool should make this possible.
With the announcement of the beta release of the Spark Operator ser... Read more
Databricks wants to make standards for association machine learning and AI
Databricks, the company behind Apache Spark, aims to unite data, engineering and people. It wants to do this by defining standards for various processes, including distributed machine learning training, implementations and deployment. That's what ZDNet's interview with CEO Matei Zaharia shows.
Much... Read more