#cloud_computing

Google Cloud plans to introduce an easier additional risk-averse means for enterprises to maneuver their gift mainframe estates to its cloud with a replacement service originally developed by Banco Santander. Google claims to have "cracked the code" on business intelligence two years after purchasing the business intelligence platform Looker. https://news.google.com/publications/CAAqBwgKMO_prAsw_PTEAw Before the Google Cloud Next conference last week, Google's Gerrit Kazmaier told reporters that in business intelligence (BI), "there was always this idea of managing BI and of self-service, and there was no reconciliation of the degree of trust and the degree of flexibility." At Google, I believe we have figured out how to combine self-service flexibility and agility with data trust and confidence. In the cloud computing market, "we're seeing some new markets open up, and that is driven by growth in some key areas," same Katie Watson, Google Cloud's head of product communications. These embrace "data, AI, machine learning, cyber -- and that they align extremely powerfully with the ability of Google Cloud." At the Google Cloud Next conference, the corporate proclaimed many new product and capabilities in those areas. to form AI a lot of accessible, Google is increasing what it calls AI agents -- a class of applications and services that apply to specific business challenges and need comparatively very little technical experience. To accomplish this, Google Cloud is desegregation its business intelligence product underneath the Looker umbrella, combining Looker and knowledge Studio to make Looker Studio. it'll are available 3 tiers, as well as Looker Studio professional, that offers support and special regime options. The investment in Looker is a component of Google Cloud's current effort to specialise in the core strengths it brings to the general public cloud market -- together with the unified and open approach to data-driven transformation and its powerful AI offerings. For example, the corporate is saying Translation Hub -- associate AI agent that has self-service document translation to customers. It will mechanically translate documents into one hundred thirty five languages. This tool will, as an example, facilitate researchers share their work globally or a corporation serve a worldwide market. Google is additionally cathartic Vertex AI Vision, a replacement application development atmosphere for building and deploying laptop vision applications. Meanwhile, Google Cloud is additionally that specialize in building associate open information cloud that integrates information across all formats, all clouds, and every one attainable workloads. thereto finish, Google's storage engine BigLake can add support for Apache Iceberg, a number one ASCII text file table format. Support for Delta Lake and Apache Hudi formats is additionally returning shortly. In BigQuery, Google is adding support for unstructured information, moreover as support for Apache Spark and Datastream. The new twin Run service permits for data processing on premises and on the Google Cloud Platform to confirm workloads square measure playing satisfactorily before totally transitioning to the cloud. That service is twin Run, and it permits data processing, permitting enterprises to form digital copies of their gift mainframe systems and run them at the same time on the Google Cloud Platform. The service addresses a serious challenge with mainframes: tight coupling of knowledge at the applying layer. this permits time period testing by customers to confirm their cloud workloads square measure playing needless to say, running firmly and meeting restrictive compliance desires — while not closing down any applications or negatively impacting their end-user expertise — transitioning to GCP as their primary system. before doing "It's an easy conception, however exhausting to implement — not done up to now," Nirav Mehta, Google Cloud's senior director of product management for cloud infrastructure solutions and growth, told Protocol. "This can considerably cut back the danger of migrating mainframe applications to the cloud." read more Dual Run uses virtual machines on GCP to make parallel instances of mainframe workloads. in step with Mehta, every branch of knowledge interface inside a launcher/splitter contains the required mechanisms to duplicate the activity — and come back the "initial" system response — that drives incoming requests or triggers regular workloads. A period observation dashboard shows variations in group action responses between mainframe and GCP deployments. one output hub ensures one purpose of contact throughout the roll-out amount for all batch info transmitted. And then, once they are snug, customers will use their mainframes for backup or retire them. "For a while, you'll have your mainframe because the primary system that responds to client requests and let the cloud instance truly be a secondary system which will conjointly run a similar requests," Mehta aforementioned. “You monitor the responses returning from the mainframe and Google Cloud to examine if the Google Cloud instance is performing arts precisely just like the mainframe. and so at some purpose, you turn to Google Cloud being primary and mainframe being secondary.” DualRun, that is in preview, is meant for industries together with money services, healthcare, producing, and retail, similarly as public sector organizations. regarding ninetieth of prime banks still use mainframes, Mehta said, as do twenty three of the twenty five largest United States of America retailers. "All these corporations wish to modernize their applications that area unit running on the mainframe and convey them to the cloud for all the advantages, from security to quantifiability to cost-efficiency," he said. "But as a result of these systems area unit therefore mission-critical – and mainframes area unit notably distinctive in however long they have been around and the way abundant inheritance technology have in them – they expertise heaps of risk and that they do not bring that to the cloud." Google Cloud partners together with Accenture, Capgemini, and Kyndryl can facilitate deploy twin run customers. Google is asking Cloud twin Run as a "first-of-its-kind" service AWS Mainframe Modernization, meanwhile, launched in June and supports 2 primary migration options: replatforming and automatic refactoring. What's novel regarding twin Run is that its workload-sending technology and package and information synchronization permit each systems to run on constant information and logic, consistent with Houck Heyer, UN agency leads Accenture's Google Cloud business cluster in Europe. "Also, twin Run offers Google Cloud as how to run parallel for the primary time," Heyer aforementioned. "This, in turn, permits comprehensive observability on one platform, that is very important for heavily regulated industries banks. As workloads migrate from mainframes to the Google Cloud, banks and also their restrictive stakeholders gain confidence within the hardiness of twin Run and the parity of recent Run Avenue and Mainframe. able to demonstrate consistently." Dual Run can even cut back migration risk by enabling partial workload/application modules — that area unit certified to maneuver to Google Cloud — rather than entire applications, consistent with Heier. "For alternative industries, the flexibility of twin Run to handle partial migrations can give higher ROI on modernization comes," he said. "In any case, the dual-run mainframe-based digital core can address the shortage of potency for modernization and maintenance, since operations area unit abundant easier within the Google Cloud." Google wins over ASX with cloud information analytics technology The Australian Securities Exchange (ASX) has chosen Google Cloud as its cloud partner of option to build its information product innovation strategy. ASX has captive its information and analytics footprint to Google Cloud, increasing its ability to tell product innovation and expand access to insights for ASX and its native and world customers. DataSphere is ASX's information science and development platform, providing ASX and its partners with access to information, analytics and innovation. ASX Google Cloud's industry-leading information and analytics technologies facilitate drive unjust insights from the platform, with scale and security at its core. ASX's monetary information system provides partners with access to distinctive datasets, machine learning-based insights, end-to-end governance and tools to make, commercialize and deliver new monetary models to customers. “Data is central to our strategy—financial markets rely upon timely and relevant information. we have a tendency to operate the vital infrastructure that underpins each the Australian and New island monetary markets, therefore having access to best-in-class technology is vital. Our collaboration with Google Cloud allows information and insights to be accessible in a very versatile and ascendible atmosphere. this may facilitate United States bring new merchandise and services to promote quicker,” aforesaid Dan Chesterman, cluster government, Technology and information, Chief info Officer, ASX.ASX is developing new product with its debt, equity and commodity exchange information and is exploring opportunities to collaborate on development with Google Cloud. The move to Google Cloud, supported by implementation partner Servian, is a component of ASX's wider business and technology transformation. The exchange is revitalising many core platforms, which can see the common age of core equity market technology drop from over twenty years to but 5 years. Through this modernization, ASX introduced up to date technology patterns associate degreed digitized a lot of elements of its business to supply an improved client expertise. "As one in all the world's top-10 listed exchange teams, ASX is harnessing the ability of information to rework however money markets deliver price. By partnering with Google Cloud, ASX is fast-tracking its product innovation, desegregation their immense information estate and every one their fast insights for partners and really unlocking the worth of information and analytics,” aforesaid Alistair Dias, vp, Google Cloud, Australia and New Zealand. To support ASX's continuing investment and efforts to safeguard, develop and nurture the business, Google Cloud and Servian have provided tailor-made coaching and capability plans to assist workers build the cloud and digital skills required to run DataSphere with Google Cloud technology. Capability continues with the co-design of a cross-ASX educational program that may give workers with the chance to find out and apply the newest technology in their jobs. salesforce, google ads, azure, gitlab, gcp, forge rock, google cloud console, google cloud next, google console, amazon web services, google next, cloud computing, data studio, gcp console, BigQuery, google next 2022, google cloud platform, 1 usd in inr, google cloud next 2022, google big query, gcp certification, google next, gcp console, google next 2022, mandiant, thomas kurian, google cloud next 2022, cloud next, cloud console, it support jobs, what combines qualitative and quantitative research and analytics methods to address marketing problems?, google cloud services, Google stock, google cloud next, google cloud console, google next. What combines qualitative and quantitative research and analytics methods to address marketing problems?Comprehensive Market ResearchQuantitative and qualitative methodologies are typically used in a full and robust market research effort since they both offer worthwhile views and may be combined to produce useful insights.