Friday, 19 April, 2019

Qubole announces expanded partnership and product integration with Google Cloud Platform

Google Cloud'19 Google Cloud announces Anthos platform for the hybrid future
Katie Ramirez | 13 April, 2019, 00:37

Google today unveiled a handful of new cloud services created to simplify common tasks in the data analytics workflow, including a beta of a new data integration and ETL service called Cloud Data Fusion, the capability to leverage BitQuery from a spreadsheet interface, and the addition of Tensorflow machine learning capabilities to BigQuery ML, among others.

Google Cloud's Kavitha Gopalakrishnan (Strategic Technology Partnership Lead, Databases) and Naya Tech's David Yahalom (CTO and Co-Founder), will take the stage at Google Cloud Next "19", taking place from April 9-11, San Francisco, CA, to announce migVisor for GCP and discuss the procedures and technologies which can be used to accelerate cloud migrations from Oracle databases to Google Cloud SQL for PostgreSQL.

The Empowered Associates solution brings the collaborative power of G Suite along with the social Intranet capabilities from Google's partners to organize, engage, and inform the entire retail organization.

In line with the Google' play for openness and ease operating across cloud, Anthos is a platform to allow customers to run applications anywhere, from on-prem hardware to the public cloud. They aim to help companies adopt and apply cloud technology to each. Retailers can now manage ESP, triggers and personalization from a single interface, enabling them to personalize 100% of their campaigns for the first time ever.

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The companies are collaborating through the Accenture Google Cloud Business Group, which focuses on developing industry-based solutions in high-growth areas to accelerate clients' adoption of Google Cloud. Adding new datasets or pipelines to Cloud Data Fusion requires no coding, Google says, and can be accomplished by dragging and dropping icons in a Web browser. AutoML Tables makes it possible to automatically build and deploy machine learning models on structured data in a few clicks, reducing the total time required from weeks to days. Google Cloud's top executive made it a point today to ensure there would not be any doubts about the level of his company's commitment as a major cloud provider.

Anthos is based on the Cloud Service Platform that the company announced past year and now its hybrid functionality will be available on both the Google Cloud Platform (GCP) with Google Kubernetes Engine (GKE) and in your data center with GKE On-Prem.

To answer such a question, Google has always highlighted that security is something that they have built in from the start, not applying it later. "Google, in the last three years, has spent $47 billion on capital expenditures, and this year, $13 billion on data centers". But they are forced to move those application to the cloud (accessed through an Internet-based remote server) as customers are increasingly moving to mobile-based services. The products from Confluent, DataStax, Elastic, InfluxData, MongoDB, Neo4j and Redis Labs will be integrated into the Google Cloud Platform (GCP) and offered as managed services.

The second one allows enterprise costumers to have their own reCAPTCHA Enterprise feature to defend their website against fraud, which was built using a technology created to address enterprise security needs.

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