Google completes Looker acquisition

I’m pleased to announce that Google has completed its acquisition of Looker. Together, we’re excited to offer customers a comprehensive analytics solution that integrates and visualizes insights at every layer of their business.  Today, hundreds of joint customers already rely on Google Cloud and Looker to make smarter business decisions. And by joining together, we believe we will be uniquely positioned to address the data analytics and business intelligence demands of even more enterprises globally, across all industries. Looker will strengthen Google Cloud’s analytics and data warehouse capabilities, including BigQuery, enabling our customers to address some of their toughest business challenges, faster—all while maintaining complete control of their data. Google Cloud and Looker share a common philosophy around delivering open solutions and supporting customers wherever they are—be it on Google Cloud, in other public clouds, or on premises. As more organizations adopt a multi-cloud strategy, Looker customers and partners can expect continued support of all cloud data management systems like Amazon Redshift, Azure SQL, Snowflake, Oracle, Microsoft SQL Server and Teradata.We’re thrilled to officially welcome the Looker team to Google Cloud. For more on what this means for Looker and its community of customers and partners, please read the blog from Looker CEO, Frank Bien.Comments on the news:“Companies across the globe are migrating to the cloud and adopting a multi-cloud strategy. For leading technology providers, it’s critical that we put customers first to help them achieve their digital transformation goals,” says Frank Slootman, CEO of Snowflake. “The combination of Google Cloud and Looker and their commitment to multi-cloud support will help deliver more value to customers faster. We look forward to our continued partnership with both companies.”“There is no slowing in the data analytics and business intelligence market, in fact, it’s only growing as more and more data is created and enterprises across all industries look to use data to be better informed, make smarter decisions and digitally transform their organizations,” said Howard Dresner, Chief Research Officer, Dresner Advisory Services. “Our research derived directly from customer feedback shows Google Cloud as a Leader in Analytical Data Infrastructure, and Looker as a Leader in enterprise business intelligence. We see synergy and nominal overlap between their solutions, and believe this acquisition should strengthen their ability to serve enterprise customers together.
Quelle: Google Cloud Platform

Google Cloud named a Leader in the Forrester Wave: Data Management for Analytics

We’re pleased to announce that Forrester has named Google Cloud a Leader in its report, The Forrester Wave™: Data Management for Analytics (DMA) Q1, 2020. This is the first DMA Wave Forrester is publishing and it assesses Google Cloud’s broader data analytics portfolio, with BigQuery at the heart. In this report, Google Cloud received the highest score possible in the categories of: roadmap, performance, high availability, scalability, data ingestion, data storage, data security, and customer use cases. This evaluation validates for us Google Cloud’s data analytics strategy, and we believe echoes the feedback we’re hearing from customers who are now able to process huge amounts of data quickly and efficiently.Enterprise customers are betting big on BigQueryThe need to digitally transform their businesses means that organizations are looking for solutions that can seamlessly scale with their growing data needs. Providing simplicity and speedWe build our data analytics products to be easy to use, and tightly integrated with the rest of Google Cloud’s ecosystem. BigQuery is built for speed, letting you analyze gigabytes to petabytes of data using ANSI SQL with no operational overhead. BigQuery’s serverless model means that resource provisioning happens behind the scenes, so you can focus on analytics instead of managing infrastructure. Customers can now run analytics at scale with a 26% to 34% lower three-year TCO than cloud data warehouse alternatives.S4 Agtech, which offers risk management solutions for agriculture companies, migrated to Google Cloud to save money and time, as well as, scale databases and machine learning models faster. The company uses BigQuery as its data warehouse, and has dramatically reduced storage and processing costs by 80%, while providing customers their analytics results 25% faster. S4 has also gained more time for innovation in helping its customers de-risk crop production, including updating and improving algorithms.And our broader data analytics platform extends to streaming analytics, with options for both batch and streaming data. Customers can query data in real time  and know what is happening right now in order to drive fast and informed business decisions. Ensuring security and trustWith a secure, trusted data analytics platform, it becomes easier to let users access the data they need to run their businesses. BigQuery provides strong security and governance controls with Cloud Data Loss Prevention (DLP) and Cloud Identity and Access Management (IAM). Data is encrypted at rest and in transit by default ensuring that customer data is protected.We are honored to be a leader in this Forrester Wave™, and look forward to continuing to innovate and partner with you on your digital transformation journey. Download the full Forrester Wave™: Data Management for Analytics Q1, 2020 report.And check out how UPS uses our smart analytics platform. To learn more about BigQuery, visit our website, and get started immediately with the free BigQuery Sandbox.
Quelle: Google Cloud Platform

Jetzt verfügbar: Aktualisierte Versionen von 2 digitalen APN-Partner-Kursen

Wir freuen uns, aktualisierte Versionen zweier unserer digitalen Kurse ankündigen zu können: Schulungen zu AWS-Lösungen für Partner: Amazon Connect (Technical) und AWS Technical Professional. Diese digitalen Kurse wurden dafür entwickelt, APN-Partnern dabei zu helfen, die technischen Vorteile der Einrichtung eines cloudbasierten Contact Centers mit Amazon Connect erklären zu können und selbst ein grundlegendes technisches Verständnis für AWS-Services zu erlangen.
Quelle: aws.amazon.com

AWS Managed Services (AMS) unterstützt zusätzliche AWS-Services

AWS Managed Services (AMS) kündigt Unterstützung für 8 weitere AWS-Services an. Mit dieser Version ist die Gesamtanzahl der Services, die von AMS unterstützt werden, auf 69 gestiegen. Dies beinhaltet den häufig angefragten Service AWS Transfer for SFTP. Zusätzlich dazu, dass AWS-Services innerhalb sicherer und von AMS verwalteter und gesteuerter Konten ausgeführt werden, können Sie diese Services selbst bereitstellen und direkt in der AWS-Konsole oder den APIs konfigurieren. Diese Services fallen unter die zweite Preisstaffelung für AMS, die für bestimmte Gruppen von AWS-Services, in denen mehrere der täglichen Abläufe vom Service selbst gehandhabt werden, niedriger ist: 12 % für AMS Plus und 18 % für AMS Premium.  
Quelle: aws.amazon.com

vCPU-basierte On-Demand-Instance-Limits für Amazon EC2 jetzt in GovCloud (US)-Regionen verfügbar

Amazon EC2 ändert sein System für On-Demand-Instance-Limits. Bisher waren die Limits anzahlbasiert; nun sind sie vCPU-basiert. Dies soll die Verwaltung der Limits für AWS-Kunden vereinfachen. Die Erreichung des vCPU-basierten Limits wird anhand der Anzahl von vCPUs (Virtual Central Processing Units) für die Amazon EC2-Instance-Typen gemessen. 
Quelle: aws.amazon.com