Juni 2021 - Seite 4 von 55 - Cloud Computing Köln

Pierogies might just be the ultimate comfort food. But when Mrs. T’s Pierogies — the leading manufacturer of frozen pierogies in the US — learned it needed to transition its existing on-premises SAP ECC to S/4HANA, the company sought a little comfort for itself. Founded in 1952, Mrs. T’s Pierogies now produces more than 650 million pierogies a year. Moving that many pierogies requires a powerful ERP system — and an equally powerful IT infrastructure on which to run it. Mrs. T’s realized that the SAP-mandated transition of its ERP solution to SAP S/4HANA was an opportunity to move its SAP systems to Google Cloud and gain real-time analytics capabilities for faster sales forecasting, more effective trade promotions, and more sophisticated planning.From necessity to opportunityMrs. T’s successfully ran its SAP ECC solution on its own on-premises servers for years. But after SAP decided to sunset the product, Mrs. T’s realized that it faced multiple challenges, including: Migrating its SAP ECC 6.0 system from an on-premises leagcy OS to a cloud-based Linux environmentMoving data from its SAP DB2 database to HANATransitioning from ECC to SAP S/4HANAThat complex transition needed to take place with little or no downtime, since nearly all of the company’s invoices, warehouse movements, and transfer orders used the Electronic Data Interchange (EDI) protocol. Missing even a few hours of EDI transactions would put significant revenue at stake. Adding to the challenge: Some Mrs. T’s customers would not accept an invoice past five days, which left little room for error. Mrs. T’s chose Rackspace Technology, a longtime Google Cloud partner, to oversee the move. Mrs. T’s could have chosen to run S/4HANA on its legacy hardware but saw migration to Google Cloud as an opportunity to improve key aspects of its business, in particular data analytics. Historically, sales planning and forecasting involved time-consuming manual processes. But the speed, availability, and scalability of Google Cloud meant that Mrs. T’s could take advantage of S/4HANA’s embedded analytics capabilities. Migrating could also open the door to leveraging Google Cloud’s native integration of SAP data to power Google tools such as BigQuery, Google Cloud AI Building Blocks, and more. The move to Google Cloud also gave Mrs. T’s an opportunity to update its disaster recovery process. Previously, the company backed up to tape. So, if its SAP systems went down, a member of the IT department would have to drive the most recent tape backups an hour to its cold site, where the disaster recovery partner would load the SAP backup tape, boot the system up, switch network connections to that site, and cross their fingers. Not only would downtime be significant, but restored data would be limited to the periodic tape backup. “Everything just worked”Once Mrs. T’s decided to migrate to Google Cloud, the company worked with Rackspace Technology to implement the system. The first phase focused on moving the SAP production environment from on-premises infrastructure to Google Cloud and updating its database to HANA, which took place over 12 weeks. The switchover occurred over a weekend and was all but invisible to users. “We came in on Monday and everything just worked,” recalls Timothy Coyle, Director of Information Systems & Technology. In a second four-month phase, the company transitioned from EEC to S/4. The move to Google Cloud paid dividends immediately. Batch transactions occurred twice as fast and on-screen end-user transactions rendered instantly. The upgrade also gave the finance team access to embedded analytics and monitoring for the first time. With everything now in the cloud, disaster recovery could be dynamic and nearly instantaneous, with a worst-case scenario of just 5 to 10 minutes of downtime. “Mrs. T’s needed a skilled and experienced partner that could move its SAP environment to Google Cloud with no negative impacts to its business. We knew this migration was a key initiative in Mrs. T’s digital transformation journey,” says Chuck Britton, Google Partner Development Manager at Rackspace. “We also knew that running SAP on Google Cloud would give the business the fast and flexible analytical capabilities it needed for its SAP data.” From ideation to production, Mrs. T’s migrated from its legacy on-premises infrastructure to a modern SAP S/4HANA solution on Google Cloud in only seven months, with minimal downtime and zero disruptions. Now that the migration is complete, Mrs. T’s has a flexible, highly scalable environment to run the SAP applications and data that fuel the business. Says Coyle, “Our strategic intent for IT is to make processes simpler, people more productive, and infrastructure more secure. This project fits right square in the middle of that strategic philosophy.”Learn more about ways in which Google Cloud can transform your SAP experience and about Rackspace Google Cloud solutions for SAP customers.Related ArticlePega: Optimizing business operations with SAP on Google CloudPegasystems deployed its SAP environment to Google Cloud to make its systems more reliable and take advantage of powerful new data capabi…Read Article
Quelle: Google Cloud Platform

29. Juni 2021

da Agency

Top 25 Google Search terms, now in BigQuery

Today we’re announcing preview availability of a new public dataset for Google Trends. For the first time we’re bringing Google-owned Search data into Google Cloud Datasets for convenient analysis in BigQuery, or through your favorite business intelligence tools. For over a decade, Google Trends has provided a sample of Google Search data. Continuing to lead with a privacy-first mindset, the data is anonymized, indexed, normalized, and aggregated prior to publication. Access to Google Trends data has been limited to the Google Trends website and requires manual processing to export the underlying dashboard data to derive additional analytical insights. Now, we’re streamlining access to this dataset by surfacing and allowing direct interaction with BigQuery in a safe, secure and private manner. This BigQuery dataset, also available soon in Analytics Hub, allows users to measure interest in a particular topic or search term across Google Search, from around the United States, down to the city-level. Whether you’re a marketer, an executive, or an operations manager, you can now easily ask what people are searching for to inform your analyses. Say you’re a merchandiser in retailing, and want to ensure your end-cap displays are relevant to your local audience, you can take signals from what people are looking for in your market area to inform what items to place. Or, imagine you’re in charge of your product’s R&D initiatives and want to understand what new features could be incorporated into an existing product based on what people are searching for. What’s popular and relevant might even inspire a new product line for your team. Terms that appear in these datasets could be an indicator of what you should be paying attention to.“Google Search Trends data has always been an important tool for our WPP agency data teams. At WPP we believe that data variety is a superpower which is why we are excited to use the new Trends dataset availability within BigQuery, plus the launch of Analytics Hub. The best creativity in the world is informed by data insights, and influenced by what people search for, so the operational efficiencies we’ll gain via the Analytics Hub and the insights we can drive with Trends data are just phenomenal.”—Di Mayze Global Head of Data and AI, WPPHow the Google Trends dataset worksTo remain true to Google’s mission to “organize the world’s information and make it universally accessible and useful,” we are sharing some of this data in a safe, private, and secure manner. In this initial preview, we will provide popular trending terms through Google Cloud Datasets. The dataset surfaces the Top 25 stories and Top 25 Rising queries for the United States in a BigQuery dataset, available to access from the Google Cloud Marketplace.Google Trends dataset now available in the Google Cloud MarketplaceTop stories are indicative of the most searched topics for the day throughout the United States, whereas top rising provides a view of what search terms have surged in popularity over the past day. Each term will be segmented by Nielsen’s Designated Market Area® (DMA) and by the week, enriched with a historical backfill over a rolling five year period.As a new set of top terms and top rising queries is generated daily, data will be inserted into a new partition of their respective table. Each set of top stories and top rising queries will persist and remain static until its expiration date of 30 days is reached (e.g. each table partition has a time-to-live of 30 days). Learn more about the schema of each table in the dataset listing. Getting started with the Google Trends datasetFor top and rising terms stored in the Google Trends dataset, users can obtain access without charges of up to 1TB/month in queries and up to 10GB/month in storage through BigQuery’s free tier. SQL queries above these thresholds are subject to regular BigQuery pricing. Users can also leverage the BigQuery sandbox to access BigQuery without the need to create a Google Cloud account or provide credit card information, subject to the sandbox’s limits and BigQuery’s free tier thresholds. To begin exploring these public dataset tables, simply query the top 25 and top 25 rising tables from the BigQuery SQL UI. To minimize the data scanned and processed, utilize the partition filter in your query:select * from `bigquery-public-data.google_trends.top_terms` where refresh_date = DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)To compare and overlay the most popular search trends with the top rising, join the tables on dma_id:select * from `bigquery-public-data.google_trends.top_terms` top join `bigquery-public-data.google_trends.top_rising_terms` rising on top.dma_id = rising.dma_id where top.refresh_date = DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY) Outside of the BigQuery UI, you can also interact with this dataset from familiar BI tools like Looker, Data Studio or with solutions from our partner ecosystem.What’s next for Google Cloud Datasets?This is just the beginning of our journey in making Google’s first-party data more accessible to organizations to enhance their analytics initiatives. Stay tuned for a future blog post on reference patterns and use cases with Google Trends data, as well as for updates on product roadmap and other dataset solutions offered through Google Cloud Datasets. In the meantime, explore the new Google Trends dataset in your own project, or if you’re new to BigQuery spin up a project using the BigQuery sandbox.Related ArticleIntroducing Analytics Hub: secure and scalable sharing for data and analyticsAnalytics Hub makes data sharing across organizations secure and easyRead Article
Quelle: Google Cloud Platform

29. Juni 2021

da Agency

Google joins the O-RAN Alliance to advance telecommunication networks

At Google, we believe that co-innovation with customers, partners, and technology vendors as part of a broader ecosystem is critical to accelerating industry digital transformation. From our contribution to open standards, to our commitment to open source and our continued focus and expansion of Google’s vibrant partner network, we are committed to drive transformative change in telecommunications.Since announcing our comprehensive strategy for the telecommunications industry in 2020, we’ve been working closely with customers, partners, and industry bodies globally to help transform the industry together. Today, we’re excited to take another step forward and are proud to announce that we are joining the O-RAN Alliance, which is a world-wide community of mobile network operators, vendors, and research and academic institutions operating in the Radio Access Network (RAN) industry.Accelerating cloud-native network readinessWhen it comes to the evolution of mobile networks, Radio Access Network (RAN) is the most significant building block to reduce total cost of ownership, scale, and overall complexity. As a result, operators worldwide are now on the journey to apply principles of disaggregation, cloud, and software centricity to transform radio access. We believe that industry-wide open reference architectures and interfaces for RAN are key to driving innovation across communication service provider (CSP) mobile networks—with the O-RAN Alliance driving significant advances in the RAN layer and already gaining traction with a number of large CSPs who have become early adopters of the standard. O-RAN specifications will also create conditions for enhanced network security and enable a more competitive and vibrant RAN supplier ecosystem with faster innovation to improve user experience and unlock new CSP operating models. Partnering with industry leadersAs its newest member, we’re excited to work alongside fellow Alliance members, bringing the broad knowledge and expertise across Google to jointly drive and accelerate the realization of O-RAN initiatives:History of software innovationFrom programming languages like Go, to the Android mobile operating system that provides the foundation of billions of mobile devices across the world, to Kubernetes, which has become the default choice for container orchestration across the industry, Google has a long history of software innovation, and we’re eager to further solidify O-RAN’s journey to achieving truly open cloud software centricity.Hybrid and multicloud solutions to enable choiceAs 5G brings cloud, software, and network together, CSPs globally are embracing public cloud and multicloud for both IT and network transformation. Google Cloud’s solutions empower CSP developer ecosystems to seamlessly build and scale new applications across any environment, with Anthos providing a complete, open, hybrid, and modular solution that enables flexible deployment models across a wide range of RAN use cases.Network leadershipOver the past decade, we’ve seen the network evolve through the emergence of programmability, open APIs, declarative intents and data models, and early software definition of network functions. Over the coming years, we believe this journey will accelerate with the shift to cloud-native networking across the board, bringing in end-to-end multi-domain automation and rich analytics. We’re bringing Google’s experience in building our own scaled global network to drive greater innovation and accelerate O-RAN initiatives in this space.Network AI Over the next decade, companies will undergo massive transformation towards an autonomous and self-healing network. This digital transformation will require architecting, designing, and deploying intelligence across a distributed cloud network that is fundamentally powered by AI and closed loop automation. Our vision is to work with the O-RAN Alliance to enable cloud-native intelligent networks that are secure, self-driving, and self-healing—bringing Google’s wealth of software experience and global leadership in the areas of machine learning, massive data processing, and geospatial analytics to efficiently design, manage, and operate RAN intelligent controllers and network orchestrators, as well as create common data platforms for end-to-end network optimization powered by predictive machine learning solutions. We’re excited by the journey that lies ahead and look forward to partnering with Alliance members to help drive the O-RAN ambitions from vision into reality.
Quelle: Google Cloud Platform