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Making your new normal safer with reCAPTCHA Enterprise

Traffic from both humans and bots are at record highs. Since March 2020, reCAPTCHA has seen a 40% increase in usage – businesses and services that previously saw most of their users in person have shifted to online-first or online-only. This increased demand for online services and transactions can expose businesses to various forms of online fraud and abuse, and without dedicated teams familiar with these attacks and how to stop them, we’ve seen hundreds of thousands of new websites come to reCAPTCHA for visibility and protection.During COVID-19, reCAPTCHA is playing a critical role helping global public sector agencies to distribute masks and other supplies, provide up-to-date information to constituents, and secure user accounts from distributed attacks. The majority of these agencies are using the score-based detection that comes from reCAPTCHA v3 or reCAPTCHA Enterprise instead of showing the visual or audio challenges found in reCAPTCHA v2. This reduces friction for users and also gives teams flexibility on how to take action on bot requests and fraudulent activity.reCAPTCHA Enterprise can also help protect your business. Whether you’re moving operations online for the first time or have your own team of security engineers, reCAPTCHA can help you detect new web attacks, understand the threats, and take action to keep your users safe. Many enterprises lack visibility in parts of their site, and adding reCAPTCHA helps to expose costly attacks before they happen. The console shows the risk associated with each action to help your business stay ahead.Unlike many other abuse and fraud fighting platforms, reCAPTCHA doesn’t rely on invasive fingerprinting. These techniques can often penalize privacy-conscious users who try to keep themselves safe with tools such as private networks, and are in conflict with browsers’ pushes for privacy-by-default. Instead, we’ve shifted our focus to in-session behavioral risk analysis, detecting fraudulent behavior rather than caring about who or what is behind the network connection. We’ve found this to be extremely effective in detecting attacks in a world where adversaries have control of millions of IP addresses and compromised devices, and regularly pay real humans to manually bypass detections.Since we released reCAPTCHA Enterprise last year, we’ve been able to work closer with existing and new customers, collaborating on abuse problems and determining best practices in specific use cases, such as account takeovers, carding, and scraping. The more granular score distribution that comes with reCAPTCHA Enterprise gives customers more fine-tuned control over when and how to take action. reCAPTCHA Enterprise learns how to score requests specific to the use case, but the score is also best used in a context-specific way. Our most successful customers use features to delay feedback to adversaries, such as limiting capabilities of suspicious accounts, requiring additional verification for sensitive purchases, and manually moderating content likely generated by a bot. We also recently released a report by ESG where they evaluated the effectiveness of reCAPTCHA Enterprise as deployed in a real-world hyperscale website to protect against automated credential stuffing and account takeover attacks. ESG noted: “Approximately two months after reCAPTCHA Enterprise deployment, login attempts dropped by approximately 90% while the registered user base grew organically.”We’re continually developing new types of signals to detect abuse at scale. Across the four million sites with reCAPTCHA protections enabled, we defend everything from accounts, to e-commerce transactions, to food distribution after disasters, to voting for your favorite celebrity. Now more than ever, we’re proud to be protecting our customers and their users.To see reCAPTCHA Enterprise in action, check out our latest video.To get started with reCAPTCHA Enterprise, contact our sales team.Related ArticleProtect your organization from account takeovers with reCAPTCHA EnterpriseHow reCAPTCHA Enterprise helps protect your websites from fraudulent activity like account takeovers and hijackingRead Article
Quelle: Google Cloud Platform

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Redivis makes research data accessible, experiences collaborative with BigQuery

Understanding the data we collect is essential—it allows us to identify trends and uncover answers about our world. However, stories in our data frequently go untold. Large datasets are hard to share between research communities due to their size, security restraints, and complexity. Even if these datasets are accessible to users, the tools needed to query them often require deep technical knowledge. This is why Redivis partnered with Google Cloud to help make research data from higher education institutions easier to analyze and more accessible. Redivis’s mission is to create a frictionless “data commons”—a place where researchers can discover, request access to, and query large datasets to support their studies. To make this goal possible, Redivis began to rethink the traditional data-distribution process.Challenges to making data more accessibleWhen Redivis first started, their team interviewed dozens of researchers to understand their biggest problems. Most researchers expressed how difficult it is to find new datasets, and how many steps it takes to access and work with the data—often before knowing if the information the dataset contains is even useful for their study. Additionally, data administrators want their datasets to be utilized but are often concerned about data security.Storing large amounts of sensitive data requires the right set of security controls. To help keep their data secure, Redivis developed a transparent, tiered access system for datasets. Researchers can request separate access to a dataset’s documentation, variables, sample, and full data, which allows them to assess the usability of the dataset without filing access applications. Moreover, administrators can set rules for how researchers use and combine different datasets depending on their level of access. Redivis built their platform on top of Google Cloud’s security infrastructure, which allows the company to encrypt data, manage security keys, and helps secure datasets with the operational and physical security layers available. Combined with detailed audit logs (supported by Google Cloud Logging) and robust application-level security controls, Redivis is able to provide data owners with the peace of mind that their data is only being accessed and used as they’ve allowed.Sharing data to build more compelling storiesWhen we join multiple sources of data, we can uncover a more complete story, such as in the case of examining environmental conditions. By combining data about historic fires, air quality data, and population health outcomes, researchers are able to offer policy guidance to protect the most at-risk populations. However, if the datasets stayed separate, we would likely lose insight into the impact these events have on each other. With the help of cloud solutions like Cloud Storage and BigQuery, Redivis figured out ways to securely connect the data between public datasets hosted in Big Query with private datasets to unlock enriched insights for their researchers.  Using Cloud Storage, Redivis makes it easy for administrators to upload large amounts of data to the platform. These data records are then stored in BigQuery, Google Cloud’s serverless and scalable data warehouse. When researchers explore their data with Redivis, they can easily see what steps they need to take to request access to existing records. Once authorized, users can query the data using SQL, without needing to know database languages. This will provide the user with manageable data subsets that can be analyzed within the context of their current study. Finally, researchers can integrate a wide array of analytical tools into this data pipeline. Using BigQuery’s ability to one-click export data to Google’s Data Studio, Redivis is able to create interactive data visualizations and integrate with notebook environments through Python and R clients.With BigQuery managing infrastructure requirements, Redivis scaled to petabytes of data, 1,000 times larger than the terabytes they had previously, without additional infrastructure workloads straining their company. Most importantly, BigQuery’s compute architecture supports real-time analysis across billions of records from both public and restricted datasets, unlocking new ways to discover insights. “Researchers are regularly coming to me to say that queries that once took hours are executing in seconds,” says Ian Mathews, CEO of Redivis. “One can only imagine how transformative this is in understanding new datasets and exploring novel hypotheses.” The future of data accessibilityAs more academic institutions and researchers join Redivis, they will continue to identify ways of minimizing friction at every step of the data-driven research process. To learn more about the steps Redivis is taking to make data more accessible and empower researchers, check out this video. And to learn more about BigQuery, visit our website.Related ArticleAccelerating Mayo Clinic’s data platform with BigQuery and Variant TransformsSee how Mayo Clinic uses Google Cloud to work with genomic variant data for research purposes. Cloud data warehouse BigQuery lets them sa…Read Article
Quelle: Google Cloud Platform

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Sharing our data privacy commitments for the AI era

More and more companies want to adopt the latest cloud-based artificial intelligence (AI) and machine learning (ML) technologies, but they are subject to an increasing array of data privacy regulations. This is an important concern for customers, who are interested in using AI and ML systems to drive better business outcomes while complying with new data privacy laws.Today we’re outlining how our AI/ML Privacy Commitment reflects our belief that customers should have both the highest level of security and the highest level of control over data stored in the cloud. As Google Cloud CEO Thomas Kurian recently shared, we have heavily invested in providing customers with the capabilities they need to prevent unauthorized access to their data. “This [AI/ML Privacy Commitment] is the first of its kind in the industry, and demonstrates the company’s focus on building trust with customers,” said Nick McQuire, Senior Vice President, Enterprise Research – CCS Insight We have always maintained that you control your data and we process it according to the agreement(s) we have with you. Furthermore, we will not and cannot look at it without a legitimate need to support your use of the service — and even then it is only with your permission. Here are some of the additional measures we take to ensure your privacy: (reference: GCP Terms).In addition to these commitments, for AI/ML development, we don’t use data that you provide us to train our own models without your permission. And if you want to work together to develop a solution using any of our AI/ML products, by default our teams will work only with data that you have provided and that has identifying information removed. We work with your raw data only with your consent and where the model development process requires it. At Google Cloud, we are committed to giving you increased control and visibility over your data. Transparency creates trust, and trust is necessary for any business to succeed in this arena. That’s why we led the way in providing meaningful transparency into provider access to customer data and now we’re extending that transparency to our AI and ML work. Helping you address global privacy and data protection requirements enables you to apply machine learning to accelerate your business with confidence.  “Google Cloud’s AI/ML Privacy Commitment is the latest move by the company to ensure its customers have greater control and visibility over their data in the cloud…This commitment also underscores the importance of proactive policies and tools to enable security and privacy in machine learning, which based on our data, is more important than ever,” CCS Insight’s McQuire continued. To learn more about our three pillars of sovereignty in Google Cloud, see this blog post.  And to learn more about Google Cloud’s commitment to more accountable products and a culture of responsible innovation, please see our perspective on Responsible AI.
Quelle: Google Cloud Platform

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Modernizing enterprise data warehousing with Actian Avalanche on Google Cloud

Increasingly, businesses are looking to the cloud to derive more value out of their business data. At Google Cloud, we’re committed to providing customers choice across technology, solutions, and partnerships.Our work with HCL Technologies is an example of this. HCL, which launched its Google Cloud Business Unit in 2019, is helping organizations across industries accelerate their migrations to Google Cloud, and has named Google Cloud its preferred cloud provider for several key verticals. As part of this work, last month HCL announced that its Actian Avalanche hybrid cloud data warehousing service will be available on Google Cloud.Actian Avalanche is a high-performance hybrid cloud data warehouse designed to power an enterprise’s most demanding operational analytics workloads. Together with BigQuery, Google Cloud’s enterprise data warehouse, customers now have choice and flexibility to modernize their data warehouses in the cloud for business agility.Actian Avalanche enables a seamless path to migrate legacy data warehouses, including IBM Netezza and Oracle Exadata, to Google Cloud, through a hybrid-cloud offering leveraging Google Cloud’s Anthos application platform. By modernizing enterprise data analytics, customers can improve performance by up to 20 percent on Google Cloud vs other clouds per Actian’s tests, while building a foundation for future innovation and scale in the cloud.Actian Avalanche on Google Cloud utilizes underlying infrastructure technologies like Google Kubernetes Engine, Dataproc, and Cloud Storage. Actian is tightly integrated with Looker for data visualization and is actively engaged with Google Cloud engineering teams for integrations with Pub/Sub, Dataflow, Dataprep, and Kubeflow.Interested in learning more about Actian Avalanche on Google Cloud? We’re offering an interactive webinar: Future of Cloud Data Warehousing. The webinar will feature Manvinder Singh, Director, IaaS/PaaS Partnerships at Google Cloud and Raghu Chakravarthi, Actian’s Chief Product Officer, on October 21 at 11am PT (2pm ET). To join us, sign up here.We’re excited to continue to expand our strategic relationship with HCL, a trusted IT and business transformation partner to businesses around the globe.
Quelle: Google Cloud Platform

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Cache is king: Announcing lower pricing for Cloud CDN

Organizations all over the world rely on Cloud CDN for fast, reliable web and video content delivery. Now, we’re making it even easier for you to take advantage of our global network and cache infrastructure by reducing the cost of Cloud CDN for your content delivery going forward.First, we’re reducing the price of cache fill (content fetched from your origin) charges across the board, by up to 80%. You still get the benefit of our global private backbone for cache fill though—ensuring continued high performance, at a reduced cost. We’ve also removed cache-to-cache fill charges and cache invalidation charges for all customers going forward.This price reduction, along with our recent introduction of a new set of flexible caching capabilities, makes it even easier to use Cloud CDN to optimize the performance of your applications. Cloud CDN can now automatically cache web assets, video content or software downloads, control exactly how they should be cached, and directly set response headers to help meet web security best practices.You can review our updated pricing in our public documentation, and customers egressing over 1PB per month should reach out to our sales team to discuss commitment-based discounts as part of your migration to Google Cloud.To read more about Cloud CDN, or begin using it, start here.
Quelle: Google Cloud Platform

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Rémy Cointreau drives customer centricity with SAP on Google Cloud

Imagine the challenge of supply chain planning and meeting changing consumer needs when you have products that can take up to one-hundred years to produce. That’s the case for Rémy Cointreau, a family-owned maker of fine spirits whose roots go back to 1724. With rapidly evolving consumer expectations and heavy competition from premium beverage brands, Rémy Cointreau set out on a strategy to put the customer at the center of their business. Offering more than a premium beverage, key brands such as Rémy Martin cognac, Louis XIII cognac, Cointreau and St-Rémy brandy instead would offer customers a taste of luxury. “The idea is not to simply sell Cognac,” explains Sebastien Huet, the company’s CTO. “We want to sell a French way of living. For that, we needed to shift from selling products to selling an experience.”To make this a reality, Rémy Cointreau realized all elements of its business would need to be more agile. It needed more flexibility in its SAP systems, which drive Finance, Manufacturing and Supply Chain, and easy access to valuable SAP system data for business decision making and innovative customer approaches. As a result, Rémy Cointreau determined they’d need to move to the cloud to enable such a transformation. Improved manufacturing and service with business agilityThe SAP S/4HANA deployment on Google Cloud Platform is now live for Rémy Cointreau’s Europe based operations. In addition to S/4, it also migrated the SAP supply chain planning tool, Advanced Planner and Optimizer (APO), as well as SAP’s Business Warehouse to Google Cloud. Similar deployments will launch soon globally. While the environment is still new, Rémy Cointreau already sees big steps towards greater agility with Google Cloud. For instance, Google Cloud makes it much faster and easier to adjust the technical operating environment. If a team wants to start performing a new resource-heavy analysis, Rémy Cointreau can expand capacity to meet demands within minutes. The team can also roll back capacity so that it is only using the resources it needs.This newfound agility takes the pressure off the IT team when it comes to provisioning a new implementation for future capacity. Rather than try to build capacity for potential peaks, the team can deploy for expected demand, then easily adjust afterward to compensate for actual loads. “It makes capacity planning so much easier,” Mr. Huet says. “Not long after go-live, we had to perform some updates—increasing memory and so on,” he recalls. “In the past, the process would take about a month to do. Now it takes a few minutes. We literally went from five weeks to five minutes. This is a tremendous improvement.” Another critical factor in Rémy Cointreau’s decision to move to Google Cloud was the ability to connect its SAP backbone to key SaaS applications such as Salesforce. As the company began to put more focus on the customer experience, creating strong, long-term relationships with customers would be essential. By being able to create this 360 degree view of data among SAP, Salesforce, and its ecommerce platform, Rémy Cointreau can more easily create personalized experiences for its customers that simply weren’t possible before.A data-driven futureRémy Cointreau business users are already reaping benefits from the cloud deployment. “One of the key improvements is the ability to analyze live data,” Huet says. “That was not the case in the past. Previously, there was a 24-hour lag between the time the data came in and the moment it could be analyzed. This is especially important on the production-management side, where every hour counts.” As exciting as the improvements in agility and connectivity have been so far, Huet sees even more possibilities for the future. “Right now, we’re focused on establishing SAP in the Google Cloud environment,” he says. “But once that’s done, we’ll be looking at technologies like BigQuery that can take our data analysis to the next level.” Potential areas of interest include product traceability and customer experience. “Now that we’re fully deployed on Google Cloud Platform, anything is possible,” he notes. “We can pull data in from multiple sources via integration and analyze it in a matter of days. We don’t need a three-month project to see value.” It is this agility and creativity that makes Huet most optimistic about the company’s partnership with Google Cloud. As he notes, “I think the best is yet to come.” To learn more about Rémy Cointreau’s deployment of SAP on Google Cloud, read the case study here. Also learn more about oXya’s capabilities with Google Cloud for SAP customers.Related ArticleHow SAP customers can accelerate analytics in the cloudGoogle Cloud’s data analytics and AI and machine learning solutions can help SAP customers store, analyze, and derive insights from all t…Read Article
Quelle: Google Cloud Platform

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Democratizing Zero Trust with an expanded BeyondCorp Alliance

The need to quickly provide secure access for a newly remote workforce during the early days of COVID-19 drove many organizations to explore new technologies and start down a path towards a Zero Trust model. As time has passed, it’s become clear that remote work will be a defining characteristic of the new normal, and modernizing security by fully embracing zero trust models is an imperative, not an option. We need to work to further democratize this technology, accelerate and ease its adoption to help organizations stay secure, agile, and productive.We’ve been working on Zero Trust for more than a decade at Google, and earlier this year, we introduced BeyondCorp Remote Access, our cloud-based solution that helps make access to internal applications easier and more secure. We offer similar context-aware access controls for apps in Google Workspace and Cloud Identity. Last year, we assembled a group of partners that share our Zero Trust vision and who are committed to help our joint customers make it a reality: the BeyondCorp Alliance. These partners are key to our effort to further promote and democratize this technology. They allow customers to leverage existing controls to make adoption easier while adding key functionality and intelligence that enable customers to make better access decisions. We’re now pleased to announce that Citrix, CrowdStrike, Jamf, and Tanium are joining Check Point, Lookout, Palo Alto Networks, Symantec (a division of Broadcom), and VMware as BeyondCorp Alliance members.As Sunil Potti, VP and GM Google Cloud Security, puts it, BeyondCorp delivers world-class security for the reimagined workplace. Partners who share our vision are an essential part of how we help our customers modernize their security approaches in-place to deliver a better, safer normal.Our BeyondCorp Alliance Partners add capabilities in the following areas:Device Management: Enterprise Mobility Management (EMM) vendors can provide device context and telemetry such as whether a device is managed or corporate-owned to aid in policy evaluation.Endpoint Security: Endpoint Detection and Response Vendors (EDR) or Mobile Threat Defense (MTD) vendors can provide device posture information, such as whether a device is compromised to aid in policy evaluation.Gateways: Infrastructure vendors can provide more secure access to hosted infrastructure (e.g., virtual desktops, etc.) via BeyondCorp. Keep reading to learn more about updates to our existing BeyondCorp Alliance partnerships and new solutions with leading security partners that we are excited to announce today: Check Point SandBlast Mobile is a mobile threat defense solution that detects and stops attacks on iOS and Android devices before they start. Integration with the Google Admin console can be used to selectively prevent compromised devices from accessing applications and resources, helping to keep sensitive data secure. The integration is now available to customers in preview in the Google Admin console.Citrix and Google Cloud are extending our deep collaboration to include BeyondCorp. Google Cloud has always been one of the best places to run Citrix Workspace, and the first step, bringing together Citrix Workspace and BeyondCorp, is coming soon. It will allow customer applications, whether they are deployed on-premises, on GCP, or delivered as a service (SaaS), to be exposed through Citrix Workspace with BeyondCorp’s access controls and policy enforcement. Users get a single pane of glass for all of their applications, which can now be accessed from BYOD and non-corporate devices without the need for a VPN. We’re also exploring the sharing of endpoint signals and further extending policy enforcement to virtual desktops. For more information, check out the Citrix blog on our joint zero trust security solutions.CrowdStrike will deliver real-time endpoint posture assessments from endpoints regardless of location, network, or user so that BeyondCorp adopters can prohibit access from untrusted or compromised hosts as part of conditional access policies, reducing risk for users and the organization. This integration is coming soon. To learn more about how CrowdStrike and Google Cloud are collaborating on Zero Trust, register for CrowdStrike’s Cybersecurity Conference Fal.Con 2020, taking place on October 15, 2020.Jamf is working to extend its device compliance capabilities for organizations leveraging Google Cloud and BeyondCorp. In the past, organizations have expressed concerns about unprotected Mac devices accessing cloud and on-premises resources. Now, through a unique Jamf preview, customers can ensure that only trusted users, from managed devices, using approved apps, are accessing company data. Read Jamf’s blog on our collaboration and contact the Jamf team to learn more about this preview.Lookout continuously assesses a smartphone, tablet or Chromebook’s risk level and provides it to Cloud Identity and BeyondCorp from the Lookout Security Graph. Device risk levels of “high, moderate  or low” are set based on the organization’s security policies. When Lookout detects a threat on a mobile device, the risk level is changed accordingly and delivered in real-time to Cloud Identity via API. This integration enables Google Workspace to block risky or non-compliant devices from accessing applications and data. This functionality is now available in preview via the Google Admin console. Learn more by reading Lookout’s blog.Symantec Endpoint Protection (SEP) and Symantec Endpoint Protection Mobile (SEP Mobile) report on the security posture of an organization’s traditional and mobile endpoints, including both managed and unmanaged devices. With the upcoming integration, customers can leverage Symantec’s endpoint signals such as indications of compromise, operating system configuration risks, app risks, anomalous network behavior, and more, to create more granular and customized access policies for Google Workspace, web apps, and Google Cloud infrastructure.Tanium and Google Cloud recentlyannounced a strategic partnership with the goal of delivering security transformation for the distributed IT era. As part of the BeyondCorp Alliance, Tanium will be providing device identity information through Tanium Endpoint Identity, which is available today. Tanium monitors and evaluates the health of endpoints in real-time, providing comprehensive visibility and control from a single platform no matter where the device is located. Through the combined solution, coming soon, organizations will be able to ensure that devices connecting to network resources and applications are authorized, secured, and up-to-date. To learn more about Tanium’s partnership with Google Cloud and BeyondCorp integration,register to attend their upcoming virtual user conference, Converge.VMware is working to bring Workspace ONE and Google Cloud’s BeyondCorp solution together to keep devices under control and compliant with policies that protect corporate data. Workspace ONE will continually feed device compliance status information to Google Cloud’s context-aware access engine, allowing access to be revoked at any time if a device becomes non-compliant. This integration is coming soon.To learn more about how you can take advantage of our joint capabilities to advance your own Zero Trust strategy, visit the BeyondCorp Alliance partner links above or reach out to our team. Also be sure to check out our BeyondCorp product home, browse BeyondCorp educational resources in our Security Best Practices Center, and view BeyondCorp use case videos in our Cloud Security Showcase.Related ArticleKeep your teams working safely with BeyondCorp Remote AccessEnabling remote access to internal apps with a simpler and more secure approach without a remote-access VPNRead Article
Quelle: Google Cloud Platform

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Learn at no cost how to get insights from your data, regardless of your analytics experience

Throughout October and November, Google Cloud is offering no-cost data analytics training. Regardless of whether you’ve just started learning how to get insights from your data or you already have significant data analytics experience, we have learning opportunities to help you take your skills to the next level. New to data analytics?If you’re new to data analytics, we recommend you join our two-day Cloud OnBoard: Unleash Your Data Potential digital event to learn how you can quickly and easily generate powerful data insights. On October 27, you’ll be taught the fundamentals of analytics and data processing. On October 28, you’ll dive into BigQuery to learn how to build a modern data warehouse, speed up queries, process streaming data, use machine learning models to produce predictive analytics, and more. At the end of the Cloud OnBoard series, you’ll receive an e-certificate of participation and no-cost Qwiklabs credits to start earning Google Cloud skill badges. Everyone who attends will also have the opportunity to participate in a digital game during which you can compete with others to see how your skills stack up against those of your peers. Register for the October 27 and 28 digital eventshere. Looking for more in-depth training?If you’re already familiar with the fundamentals of data analytics, we suggest you attend the BigQuery hands-on lab webinar on November 6 for more in-depth training. The lab will teach you the best practices for querying and getting insights from your data warehouse with BigQuery, Google’s fully managed, NoOps, low cost analytics database. With BigQuery, you can query terabytes and terabytes of data without infrastructure to manage or a database administrator, letting you focus on what’s really important: generating actionable insights. In this lab, we will show you how to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query Validator, and troubleshoot syntax and logical SQL errors.Sign upherefor the November 6 webinar. Ready to validate your expertise? Interested in learning how you can validate your cloud expertise and become an in-demand, high-impact professional? We encourage you to attend the Certification Prep: Data Engineer Certification webinar on October 15.  The webinar will walk you through how Google Cloud’s Professional Data Engineer certificationcan help you validate your cloud expertise, elevate your career, and transform businesses. During this session, you’ll begin your journey towards certification with tips from our certified experts, sample exam questions, and discounts to continue preparing for the certification exam.Reserve your seat for the October 15 webinarhere.Related ArticleData analytics for all—What happened at Week 5, Google Cloud Next ‘20: OnAirHere’s what’s happened during data analytics week at Next OnAir, with cloud analytics news, expert sessions, product demos, and more.Read Article
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BigQuery explained: Blog series

BigQuery is positioned as a unique analytics data warehousing service with its serverless architecture that allows it to operate at scale and speed to provide incredibly fast SQL analytics over large datasets. We started a new blog series—BigQuery Explained—to uncover and explain BigQuery’s concepts, features and improvements. This blog post is the home page to the series with links to the existing and upcoming posts for the readers to refer. Here are links to the blog posts in this series:Overview: This post dives into how data warehouses change business decision making, how BigQuery solves problems with traditional data warehouses, and dives into a high-level overview of BigQuery architecture and how to quickly get started with BigQuery.Storage Overview: This post dives into BigQuery storage organization, storage format and introduces partitioning and clustering data for optimal performance.Data Ingestion: In this post, we cover options to load data into BigQuery. This post dives into batch ingestion and introduces streaming, data transfer service and query materialization.Querying your Data: This post covers querying data with BigQuery, lifecycle of a SQL query, standard & materialized views, saving and sharing queries.Working with Joins, Nested & Repeated Data: This post looks into joins with BigQuery, optimizing join patterns and  nested and repeated fields for denormalizing data.We have more articles coming soon covering BigQuery’s features and concepts. Stay tuned. Thank you for reading! Have a question or want to chat? Find me on Twitter or LinkedIn.Many thanks to Alicia Williams for helping with the posts.
Quelle: Google Cloud Platform

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And then there were two: Simplifying our product launch stages

A product’s launch stage signals important information to the user about its production-worthiness, supportability, polish, and price. Google Cloud Platform (GCP) products have traditionally traveled through four launch stages—Early Access, Alpha, Beta and General Availability—and today, we are simplifying those down to just two: Preview and General Availability. Going forward, all new GCP products will launch in Preview or General Availability (GA). At Preview, products or features are ready for you to test and evaluate. In addition, we’ll typically announce GA pricing for a product at the Preview stage, helping you to make informed decisions. At General Availability products are stable and ready for production use. These new simplified product launch stages roll out immediately. We hope these changes give you the confidence and predictability you need to run your business on Google Cloud.
Quelle: Google Cloud Platform