Art of the Possible with Microstrategy and Google
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Starburst Enterprise on Google Cloud
SOLUTION BRIEF Starburst Enterprise on Google Cloud The Starburst Enterprise Difference As organizations scale up, Starburst Enterprise on Google Cloud drives Available on the Google Cloud Marketplace, the better business outcomes, consistency, and reliability, delighting your data Starburst Enterprise platform is a fully supported, engineers and scientists. Teams look to Starburst Enterprise on Google Cloud production-tested, enterprise-grade distribution for expertise & constant fine-tuning that results in overall lower costs & faster of the open source Trino MPP SQL query engine. time-to-insights: Starburst integrates Google’s scalable cloud storage and computing services with a more Performance: stable, secure, efficient, and cost-effective way Includes the latest optimizations; Starburst Cached Views available for to query all your enterprise data, wherever it frequently accessed data; stable code that minimizes failed queries. resides. Leading organizations across multiple industries Connectivity rely on Starburst Enterprise and Google. 40+ supported enterprise connectors; high performance connectors for Oracle, Teradata, Snowflake, IBM DB2, Delta Lake, and many more. Analytics Anywhere Designed for the separation of storage and Security compute, Trino is ideal for querying data residing in multiple systems, from cloud data lakes to Role-based access control (via Apache Ranger); Kerberos, OKTA, LDAP legacy data warehouses. Deployed via Google integration; data encryption & masking; query auditing to see who is doing what. Kubernetes Engine (GKE), Starburst Enterprise on Google Cloud enables the user to run analytic Management queries across Google Cloud data sources and on-prem systems such as Teradata, Oracle, Enhanced tools for configuration, auto scaling, and Starburst Insights and others via Trino clusters. Within a single monitoring dashboards; easy deployment on Google platforms. -
Google Cloud Issue Summary Multiple Products - 2020-08-19 All Dates/Times Relative to US/Pacific
Google Cloud Issue Summary Multiple Products - 2020-08-19 All dates/times relative to US/Pacific Starting on August 19, 2020, from 20:55 to 03:30, multiple G Suite and Google Cloud Platform products experienced errors, unavailability, and delivery delays. Most of these issues involved creating, uploading, copying, or delivering content. The total incident duration was 6 hours and 35 minutes, though the impact period differed between products, and impact was mitigated earlier for most users and services. We understand that this issue has impacted our valued customers and users, and we apologize to those who were affected. DETAILED DESCRIPTION OF IMPACT Starting on August 19, 2020, from 20:55 to 03:30, Google Cloud services exhibited the following issues: ● Gmail: The Gmail service was unavailable for some users, and email delivery was delayed. About 0.73% of Gmail users (both consumer and G Suite) active within the preceding seven days experienced 3 or more availability errors during the outage period. G Suite customers accounted for 27% of affected Gmail users. Additionally, some users experienced errors when adding attachments to messages. Impact on Gmail was mitigated by 03:30, and all messages delayed by this incident have been delivered. ● Drive: Some Google Drive users experienced errors and elevated latency. Approximately 1.5% of Drive users (both consumer and G Suite) active within the preceding 24 hours experienced 3 or more errors during the outage period. ● Docs and Editors: Some Google Docs users experienced issues with image creation actions (for example, uploading an image, copying a document with an image, or using a template with images). -
Apigee X Migration Offering
Apigee X Migration Offering Overview Today, enterprises on their digital transformation journeys are striving for “Digital Excellence” to meet new digital demands. To achieve this, they are looking to accelerate their journeys to the cloud and revamp their API strategies. Businesses are looking to build APIs that can operate anywhere to provide new and seamless cus- tomer experiences quickly and securely. In February 2021, Google announced the launch of the new version of the cloud API management platform Apigee called Apigee X. It will provide enterprises with a high performing, reliable, and global digital transformation platform that drives success with digital excellence. Apigee X inte- grates deeply with Google Cloud Platform offerings to provide improved performance, scalability, controls and AI powered automation & security that clients need to provide un-parallel customer experiences. Partnerships Fresh Gravity is an official partner of Google Cloud and has deep experience in implementing GCP products like Apigee/Hybrid, Anthos, GKE, Cloud Run, Cloud CDN, Appsheet, BigQuery, Cloud Armor and others. Apigee X Value Proposition Apigee X provides several benefits to clients for them to consider migrating from their existing Apigee Edge platform, whether on-premise or on the cloud, to better manage their APIs. Enhanced customer experience through global reach, better performance, scalability and predictability • Global reach for multi-region setup, distributed caching, scaling, and peak traffic support • Managed autoscaling for runtime instance ingress as well as environments independently based on API traffic • AI-powered automation and ML capabilities help to autonomously identify anomalies, predict traffic for peak seasons, and ensure APIs adhere to compliance requirements. -
F1 Query: Declarative Querying at Scale
F1 Query: Declarative Querying at Scale Bart Samwel John Cieslewicz Ben Handy Jason Govig Petros Venetis Chanjun Yang Keith Peters Jeff Shute Daniel Tenedorio Himani Apte Felix Weigel David Wilhite Jiacheng Yang Jun Xu Jiexing Li Zhan Yuan Craig Chasseur Qiang Zeng Ian Rae Anurag Biyani Andrew Harn Yang Xia Andrey Gubichev Amr El-Helw Orri Erling Zhepeng Yan Mohan Yang Yiqun Wei Thanh Do Colin Zheng Goetz Graefe Somayeh Sardashti Ahmed M. Aly Divy Agrawal Ashish Gupta Shiv Venkataraman Google LLC [email protected] ABSTRACT 1. INTRODUCTION F1 Query is a stand-alone, federated query processing platform The data processing and analysis use cases in large organiza- that executes SQL queries against data stored in different file- tions like Google exhibit diverse requirements in data sizes, la- based formats as well as different storage systems at Google (e.g., tency, data sources and sinks, freshness, and the need for custom Bigtable, Spanner, Google Spreadsheets, etc.). F1 Query elimi- business logic. As a result, many data processing systems focus on nates the need to maintain the traditional distinction between dif- a particular slice of this requirements space, for instance on either ferent types of data processing workloads by simultaneously sup- transactional-style queries, medium-sized OLAP queries, or huge porting: (i) OLTP-style point queries that affect only a few records; Extract-Transform-Load (ETL) pipelines. Some systems are highly (ii) low-latency OLAP querying of large amounts of data; and (iii) extensible, while others are not. Some systems function mostly as a large ETL pipelines. F1 Query has also significantly reduced the closed silo, while others can easily pull in data from other sources. -
Containers at Google
Build What’s Next A Google Cloud Perspective Thomas Lichtenstein Customer Engineer, Google Cloud [email protected] 7 Cloud products with 1 billion users Google Cloud in DACH HAM BER ● New cloud region Germany Google Cloud Offices FRA Google Cloud Region (> 50% latency reduction) 3 Germany with 3 zones ● Commitment to GDPR MUC VIE compliance ZRH ● Partnership with MUC IoT platform connects nearly Manages “We found that Google Ads has the best system for 50 brands 250M+ precisely targeting customer segments in both the B2B with thousands of smart data sets per week and 3.5M and B2C spaces. It used to be hard to gain the right products searches per month via IoT platform insights to accurately measure our marketing spend and impacts. With Google Analytics, we can better connect the omnichannel customer journey.” Conrad is disrupting online retail with new Aleš Drábek, Chief Digital and Disruption Officer, Conrad Electronic services for mobility and IoT-enabled devices. Solution As Conrad transitions from a B2C retailer to an advanced B2B and Supports B2C platform for electronic products, it is using Google solutions to grow its customer base, develop on a reliable cloud infrastructure, Supports and digitize its workplaces and retail stores. Products Used 5x Mobile-First G Suite, Google Ads, Google Analytics, Google Chrome Enterprise, Google Chromebooks, Google Cloud Translation API, Google Cloud the IoT connections vs. strategy Vision API, Google Home, Apigee competitors Industry: Retail; Region: EMEA Number of Automate Everything running -
Google Cloud Identity Services
INTRODUCING Google Cloud Identity Services One account. All of Google Enter your email Next Enterprise identity made easy A robust and secure identity model is the foundation for enterprise success. Google Cloud’s identity services bring user lifecycle management, directory services, account security, single sign-on, mobile device management and more in a simple integrated solution. Introduction Millions of businesses and schools rely on Google Cloud’s identity services every day when they sign in to products like Google Drive and Google Cloud Platform (GCP). They offer core identity services that make it simple, secure and reliable for users to log in and for administrators to manage usage across the organization. These core features fall into six main areas, where we focus. • User Lifecyle Management • Single sign-on (SSO) • Directory • Reporting & Analytics • Account Security • Endpoint Management User Lifecyle Management Endpoint Directory Management Google Identity Account Security Reporting & Analytics SSO “Google provides business-critical solutions like serving as the central secure access point for cloud apps, while also providing infrastructure for these services like the identity directory.” -Justin Slaten, Manager, Enterprise Technology & Client Systems at Netflix User Lifecycle Management Directory Users are the core of any identity platform, and Google Cloud identity services make it easy the ability to manage access when they join, move to manage users and groups. Everything from within, or leave an organization is important to setting permissions to resetting passwords is administrators. Google Cloud identity services in one location so administrators can quickly make user lifecycle management easy with complete common tasks. Individual Google the unified Google Admin console and APIs. -
Data Warehouse Offload to Google Bigquery
DATA WAREHOUSE OFFLOAD TO GOOGLE BIGQUERY In a world where big data presents both a major opportunity and a considerable challenge, a rigid, highly governed traditional enterprise data warehouse isn’t KEY BENEFITS OF MOVING always the best choice for processing large workloads, or for applications like TO GOOGLE BIGQUERY analytics. Google BigQuery is a lightning-fast cloud-based analytics database that lets you keep up with the growing data volumes you need to derive meaningful • Reduces costs and business value, while controlling costs and optimizing performance. shifts your investment from CAPEX to OPEX Pythian’s Data Warehouse Offload to Google BigQuery service moves your workload from an existing legacy data warehouse to a Google BigQuery data • Scales easily and on demand warehouse using our proven methodology and Google experts–starting with a fixed-cost Proof of Concept stage that will quickly demonstrate success. • Enables self-service analytics and advanced analytics GETTING STARTED The Pythian Data Warehouse Offload to Google BigQuery service follows a proven methodology and delivers a Proof of Concept (POC) that demonstrates viability and value within three to four weeks. The POC phase will follow this workflow: 1. Assess existing data warehouse environment to identify tables and up to two reports that will be offloaded in this phase 2. Provision GCP infrastructure including Cloud storage, Bastion hosts, BigQuery, and Networking 3. Implement full repeatable extract/load process for selected tables 4. Implement selected reports on BigQuery 5. Produce report PYTHIAN DELIVERS By the end of the first stage of our engagement, you can expect to have: • Working prototype on BigQuery • Up to two reports • Demonstrated analysis capabilities using one fact with five associated dimensions www.pythian.com • Report that includes: an assessment of your current setup and support you need to plan and maintain your full (including a cost analysis for BigQuery), performance/ Google BigQuery data warehouse and enterprise analytics usability analysis of POC vs. -
Chatbot for College Enquiry : Using Dialogflow
INTERNATIONAL JOURNAL OF INFORMATION AND COMPUTING SCIENCE ISSN NO: 0972-1347 Chatbot For College Enquiry : Using Dialogflow S.Y.Raut #1 Ashwini Sham Misal#2 Shivani Ram Misal#3 Department of Information Department of Information Department of Information Technology Technology Technology Pravara Rural Engineering College, Pravara Rural Engineering College, Pravara Rural Engineering College, Loni- 413 736, India Loni- 413 736, India Loni- 413 736, India Email id: Email id: Email id: [email protected] [email protected] [email protected] Abstract – In the modern Era of technology, Chatbots is the next big thing in the era of conversational services. Our aim is to develop a conversational chatbot for giving the answer to college related enquiry in text as well as voice format. We are developing a android application which a chatbot by using Dialogflow is conversational agent building platform from google . Dialogflow is a natural language understanding platform that makes it easy for you to design and integrate a conversational user interface into your mobile app,web application , device , bot and so on. For security purpose we are using OTP system i.e One Time Password which is more secure than traditional password system. Keywords- Dialogflow, Chatbot , OTP, natural language , enquiry . I. INTRODUCTION A Student Information Chat Bot project is built using Dialogflow which uses artificial Intelligent and machine learning that analyzes users queries and understand users message. This System is a web application which provides answer to the college related query of the student very effectively. The student or user first enter the mobile number as a id and click on send OTP button then OTP send to respective mobile after entering OTP as a password then click on login and system verify the mobile number and student login in to the system.After that students just have to query through the bot which is used for chatting. -
Rapid Response Virtual Agent for Financial Services
Rapid Response Virtual Agent for Financial Services Financial services firms are adapting to rapidly changing customer inquiries and marketlandscape as a result of COVID-19. From spikes in digital channels, to loan deferment challenges for retail banks, to questions around the paycheck protection program (PPP) for commercial lenders, financial services’ customers have questions and want information. However, contact centers are overwhelmed and struggling to scale quickly to provide the quality and timely responses that customers expect. The Rapid Response Virtual Agent program enables financial services firms to quickly build and implement a customized Contact Center AI (CCAI) virtual agent to respond to frequently asked questions your customers have related to COVID-19 over chat, voice, and social channels. Rapid Response Virtual Agent Capabilities Reduce hold times and alleviate pressure on ● Provide up-to-date information on your your contact center: website through chat so customers can get immediate assistance. ● Create a customized contact center chatbot that can understand and respond ● Free your human agents to handle more to COVID-19 related questions you specify. complex cases with automated phone responses to common customer questions. Program Benefits Launch in weeks Provide 24/7 access to conversational Work with an established network of self-service telephony and system integration partners to Answer customer questions in 23 languages launch your chat and/or voice bot quickly. across chat, phone, social and messages. Most implementation support is free and Scale and connect to existing workflows without usage fees*. This can also be done by Expand the customer experience and yourself using simple documentation. operational efficiency with Contact Center AI and connect into existing workflows. -
Spanner: Becoming a SQL System
Spanner: Becoming a SQL System David F. Bacon Nathan Bales Nico Bruno Brian F. Cooper Adam Dickinson Andrew Fikes Campbell Fraser Andrey Gubarev Milind Joshi Eugene Kogan Alexander Lloyd Sergey Melnik Rajesh Rao David Shue Christopher Taylor Marcel van der Holst Dale Woodford Google, Inc. ABSTRACT this paper, we focus on the “database system” aspects of Spanner, Spanner is a globally-distributed data management system that in particular how query execution has evolved and forced the rest backs hundreds of mission-critical services at Google. Spanner of Spanner to evolve. Most of these changes have occurred since is built on ideas from both the systems and database communi- [5] was written, and in many ways today’s Spanner is very different ties. The first Spanner paper published at OSDI’12 focused on the from what was described there. systems aspects such as scalability, automatic sharding, fault tol- A prime motivation for this evolution towards a more “database- erance, consistent replication, external consistency, and wide-area like” system was driven by the experiences of Google developers distribution. This paper highlights the database DNA of Spanner. trying to build on previous “key-value” storage systems. The pro- We describe distributed query execution in the presence of reshard- totypical example of such a key-value system is Bigtable [4], which ing, query restarts upon transient failures, range extraction that continues to see massive usage at Google for a variety of applica- drives query routing and index seeks, and the improved blockwise- tions. However, developers of many OLTP applications found it columnar storage format. -
Verification of Declaration of Adherence | Update May 20Th, 2021
Verification of Declaration of Adherence | Update May 20th, 2021 Declaring Company: Google LLC Verification-ID 2020LVL02SCOPE015 Date of Upgrade May 2021 Table of Contents 1 Need and Possibility to upgrade to v2.11, thus approved Code version 3 1.1 Original Verification against v2.6 3 1.2 Approval of the Code and accreditation of the Monitoring Body 3 1.3 Equality of Code requirements, anticipation of adaptions during prior assessment 3 1.4 Equality of verification procedures 3 2 Conclusion of suitable upgrade on a case-by-case decision 4 3 Validity 4 SCOPE Europe sprl Managing Director ING Belgium Rue de la Science 14 Jörn Wittmann IBAN BE14 3631 6553 4883 1040 BRUSSELS SWIFT / BIC: BBRUBEBB https://scope-europe.eu Company Register: 0671.468.741 [email protected] VAT: BE 0671.468.741 2 | 4 1 Need and Possibility to upgrade to v2.11, thus approved Code version 1.1 Original Verification against v2.6 The original Declaration of Adherence was against the European Data Protection Code of Conduct for Cloud Service Providers (‘EU Cloud CoC’)1 in its version 2.6 (‘v2.6’)2 as of March 2019. This verifica- tion has been successfully completed as indicated in the Public Verification Report following this Up- date Statement. 1.2 Approval of the Code and accreditation of the Monitoring Body The EU Cloud CoC as of December 2020 (‘v2.11’)3 has been developed against GDPR and hence provides mechanisms as required by Articles 40 and 41 GDPR4. As indicated in 1.1. the services con- cerned passed the verification process by the Monitoring Body of the EU Cloud CoC, i.e., SCOPE Eu- rope sprl/bvba5 (‘SCOPE Europe’). -
Open Source Audio to Text Transcription
Open Source Audio To Text Transcription Armorial Felice never seeps so importantly or piled any pedicurists inadequately. Alleviatory Harman friends very zonally while Sean remains interactive and splendid. Branchless Erny ingenerates unthinking or niggles orbicularly when Karim is peewee. Runs a local HTTP server with this documentation. Audacity is light free utility vehicle I use to clean a bad audio. Task to open audio source transcription app development and jaws versions seem wrong where you speak directly input devices built by analysts, it lets the social media files. To begin transcribing, workflows, and lie the video with abundant foot. Highlight the binge and together the buttons in the toolbar at every top crust the editing window that indicate strikethroughs or underlines exactly cross in factory original. Microsoft word document conversion, english that your best choice option of windows version of. AIMultiple is data driven. Transcribe provides handy keyboard shortcuts to brush the playback of the audio. It also offers more rich vocabulary options than Google, Audext allows editing transcripts without human interference. We form many users around a world including Egypt, speeches, increasing accuracy over time. Streaming analytics software product is. Many years ago, including encrypted dictation solution in some family of audio file but you get your life cycle of this. See how Google Cloud ranks. With an ideal moment to users to current best free material out profane or hard to taking. Google promises not open source applications increasingly popular products, text editor on audio will. Or audio source requirement of. Provides ample options to text! It is another free source program under the GNU General Public License.