Tag: Google Cloud Platform

Feed: Teradata Blog. As a kid, I used to love to look at the sky and see what forms I could find in the clouds. Still do. But as a professional adult, in order to guide customers to achieve business outcomes from their analytical ecosystem, I need to understand what is happening in the analytics industry, map what trends are coming, and enable customers to get the best from modern architectures in the cloud.As part of this ongoing process -- distilling and understanding everything related to analytics in the cloud –- I've recognized some critical capabilities in modern cloud analytic architectures ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; Google Cloud Platform (GCP), with its CloudSQL offering, has become a leading platform for database-as-a-service workload deployments for many organizations. Scale and High Availability have surfaced as primary goals for many of these deployments. Unfortunately, the attainment of these objectives has been challenging.Often, the answer has been to simply add more CloudSQL databases. Many, however, have found a better solution in Percona’s fully managed MySQL environment based in Google’s GCE. Percona’s fully managed MySQL offering provides benefits similar to CloudSQL, plus the ability to run MySQL with an unlimited number of tables and ... Read More

Feed: CIO. Author: . IBM doesn’t want any distractions on the road to becoming a prodigious hybrid-cloud player, and today it eliminated one of those diversions by spinning off the $19 billion Managed Infrastructure Services unit of its Global Technology Services division.The move creates an as-yet-unnamed firm, tentatively dubbed “NewCo,” which won’t actually be created until 2021 but will quickly be a big provider of managed infrastructure services. It will employ about 90,000 staffers, have more than 4,600 clients in 115 countries—including more than 75% of the Fortune 100—have a backlog of $60 billion in orders, and more than twice ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sergey Lukyanchikov. Author: Sergey Lukyanchikov Challenges of real-time AI/ML computations We will start from the examples that we faced as Data Science practice at InterSystems: A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of ... Read More

Feed: DivvyCloud. Author: divvycloud; How to Stay Secure and Compliant In the Cloud While Innovating to Connect Consumers to Critical Infrastructure and Services Introduction In a world reliant on power and telecommunications, the energy and utilities sector plays a critical role in the stability and success of virtually all other industries. In fact, its overarching importance makes it a target for malicious actors who wish to disrupt businesses of all kinds that rely on the grid to power their operations and connect them to their customers and partners. At the same time, energy and utility companies are trying to manage ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sergey Lukyanchikov. InterSystems IRIS – the All-Purpose Universal Platform for Real-Time AI/ML Author: Sergey Lukyanchikov Challenges of real-time AI/ML computations We will start from the examples that we faced as Data Science practice at InterSystems: A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data ... Read More

Feed: DivvyCloud. Author: Wight Goforth; Any organization that is transitioning to public cloud and using one or more cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), should immediately consider shifting toward a new model of security focused on continuous control and enforcement of secure configuration of cloud services. Importantly, this cannot be a one-time event, but must be monitored and enforced continuously, as the software-defined nature of cloud leads to frequent changes. Misconfiguring a cloud database, storage asset, or search engine can have massive consequences, especially if these items contain proprietary data ... Read More

Feed: CIO. Author: . Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake big data initiatives can be even harder.Successfully deploying big data initiatives requires more than data scientists and data analysts. It requires data architects who design the "blueprint" for your enterprise data management framework, and it requires data engineers who can build that framework and the data pipelines to bring in, process, and create business value out of data.Data architects typically have years of experience in data design, data management and data ... Read More

Feed: DivvyCloud. Author: Wight Goforth; Flying Blind Through Cloud IAM Complexity The ephemeral and dynamic nature of cloud resources makes traditional security perimeters insufficient for successful risk management. The cloud needs a new perimeter—identity. Unfortunately, the complexity of the cloud infrastructure and cloud provider identity and access management (IAM) tools makes it exceptionally challenging to determine who—or what—has access to a cloud resource. For example, Amazon Web Services (AWS) offers extensive policy evaluation logic, starting with a request context and then deriving all applicable policies from that. Within a single AWS account, this evaluation logic engages up to five overlapping ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Today, Neo4j is proud to announce the general availability of Neo4j Aura™ on Google Cloud Platform (GCP). Neo4j Aura is the first and only integrated graph database service on GCP.If you haven’t seen it yet, Aura is the simplest way to run Neo4j in the cloud. Completely automated and fully managed, Aura delivers the world’s leading graph database as a service for cloud developers, which provides a simpler and seamless Neo4j experience for GCP users. This tighter integration allows you to:Launch Neo4j Aura right from your Google Console with a few clicks, ... Read More