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NuoDB 4.0 Expands Cloud-native and Cloud-agnostic Capabilities of Distributed SQL Database

NuoDB, the distributed SQL database company, unveiled NuoDB 4.0, featuring expanded cloud-native and cloud-agnostic capabilities with support for Kubernetes Operators and Google Cloud and Azure public clouds. This includes the recently announced Kubernetes Operator to simplify and automate database deployments in Red Hat OpenShift.

Data Lakes: The Future of Data Warehousing?

In this special guest feature, Adwait Joshi, CEO of DataSeers, sees data lakes as a modern take on big data. When you think of a lake, you cannot define its shape and size, nor can you define what lives in it and how. Lakes just form—even if they are man-made, there is still an element of randomness to them and it’s this randomness that helps us in situations where the future is, well, sort of unpredictable.

AI’s Increasing Role in Data Backups

In this special guest feature, Steve Blow, Technology Evangelist at Zerto, takes a look at four ways in which the combination of machine learning and IT resilience can have a profound impact on the way the technology and IT industry operates.

YugaByte Commits to 100 Percent Open Source with Apache 2.0 License

YugaByte, a leader in open source distributed SQL databases, announced that YugaByte DB is now 100 percent open source under the Apache 2.0 license, bringing previously commercial features into the open source core. The move, in addition to other updates available now through YugaByte DB 1.3, allows users to more openly collaborate across what is now the world’s most powerful open source distributed SQL database.

3 Considerations for Working with Data Gravity

In this special guest feature, Matthew Wallace, Faction Chief Technology Officer, addresses three questions enterprise companies should consider in order to understand data gravity so that they may access and use data—efficiently and effectively.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

MariaDB’s “Restful Nights” Release Brings Peace of Mind to Enterprise Customers

MariaDB® Corporation announced the release of MariaDB Enterprise Server 10.4, code named “Restful Nights” for the peace of mind it brings enterprise customers. Databases are the backbone of critical business services used everyday. A database failure can result in sleepless nights for everyone involved. The new MariaDB Enterprise Server includes added functionality for enterprises running MariaDB at scale in production environments, involves new levels of testing and is shipped in a configuration that is secure by default. It delivers the highest standards of security, performance, availability and scalability – turning sleeplessness into restful nights.

Sigma Announces Visual Data Modeling, SQL Runner and One-click Snowflake Integration

Sigma, an innovator in cloud business intelligence (BI) and analytics, announced its forthcoming release of a visual data modeling capability, SQL Runner, and one-click Snowflake integration, allowing anyone to explore data in cloud warehouses and generate insights in minutes.

aqfer Launches Next-Generation SI-Ready Marketing Data Lake

aqfer, a leading SaaS provider supporting a data-centric marketing architecture, announced the launch of its next generation marketing data lake platform. The solution enables systems integrators (SIs) or engineers building digital marketing platforms for managed service providers (MSPs), ad tech companies or marketing agencies to drastically reduce the time and cost associated with customizing solutions for marketers while simultaneously increasing data integration and management functionality and dramatically reducing support and operating costs.

Six Tenets of Data Lake Access Control and Governance

In this special guest feature, Amandeep Kurana, Chief Executive Officer and Co-founder at Okera, provides six important tenets of data lake access control and governance – Data-Centricity, Rich Access Policies, Scalability and Automation, Unified Visibility, Open, API-First Design, and Hybrid and Multi-Cloud Ready.