Microsoft Common Controls Hub provides uncommon convenience

In an effort to push the envelope for providing our customers transparency and a top grade compliance experience, I’d like to to announce a compliance tool newly available through the Microsoft Trust Center for Azure; the Common Controls Hub powered by Unified Compliance. This customized Microsoft portal lets you compare control frameworks across a number of compliance mandates and privacy regimes including ISO 27001, SOC 1 and 2, PCI, FedRAMP, EU Model Clauses, hundreds of geographic-specific requirements, and many others.

We’ve arranged for any Microsoft customer (Azure, Office 365, CRM, or others) to create a free account to access a Microsoft-curated library of complete standards guidance. You’ll see control descriptions and objectives, have the ability to map requirements from one framework to another, and gain a deeper understanding of any gaps in your own compliance activities.

Best of all, these frameworks are maintained for you! Researchers are constantly revising the source data based on updates to the standards, and ensuring default mappings stay relevant. You can build a custom controls list to help guide your own security and audit efforts, and once you have narrowed down the set of controls that are applicable to your environment, you can track your status against them.

The Microsoft Common Controls Hub is another step in providing the cloud industry’s highest levels of transparency and compliance with international standards. In addition to assessments and attestations against more than 45 different certifications, laws, and regulations, Azure remains committed to enabling our customers to achieve compliance with their own industries’ mandates and regional requirements.
Quelle: Azure

The need for speed in IaaS platforms

When you look at the rapidly evolving Infrastructure-as-a-Service (IaaS) market, you might get the impression that it’s a race to the bottom with commodity hardware, inexpensive storage options, ongoing price cuts and the like.
If a cloud service provider can’t differentiate itself, things can get very ugly. That’s why one of the key tenets of IBM Cloud is delivering unprecedented speed and performance. Automating and delivering raw computing power from bare metal servers with cutting-edge GPUs (graphics processing units) can’t just be commoditized.
An example of this raw performance can be found in recent benchmark tests we conducted with our friends at MapD and Bitfusion. Together, we were able to scale up to 64 Tesla K80 GPUs across 32 servers to filter, query and aggregate a 40-billion-row dataset in just 271 milliseconds. To put that in context: together with our partners, we can scan 147 billion rows per second.

The ability to more easily pool and scale GPUs spanning multiple nodes into a single system is a significant breakthrough, maybe even a game changer. It enables businesses to manage the most complex, compute-intensive workloads — from deep learning and cognitive to big data analytics — using an affordable, on-demand computing infrastructure. The ability to explore data and run queries in near real time from the IBM Cloud gives users “supercomputer”-like performance.
Think of IBM Cloud as the Bloodhound (the project that aims to build a car that can break the world land speed record) of IaaS platforms. In many ways, IBM is trying to set its own, new cloud speed record by building the world’s fastest and most scalable cloud platform. IBM is aiming to democratize access to supercomputing resources via the cloud. Companies in industries including financial services, telecommunications, retail and social media gain a real, competitive advantage in being able to run queries like the ones we’ve tested.
Stay tuned. IBM has more HPC news coming.
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Quelle: Thoughts on Cloud

Transform your business; become a Google Certified Professional Data Engineer

Posted by Rochana Golani, Head of Curriculum and Certification

Increasingly, data drives decisions and there’s a huge demand for technical professionals who can support decision makers by helping them to gain new insights from their data, in the right context and at the right time.

Today, IT professionals program data pipelines, tune databases, create reports and carry out statistical analysis on the current generation of IT technologies. Google Cloud Platform (GCP), especially fully managed services like Google BigQuery, Google Cloud Dataflow and Google Cloud Machine Learning, offers a full set of tools for ingesting, querying, transforming and deriving insight from data.

Last week, we announced our Google Cloud Certification Program, which will connect people with these technical skills to the companies looking to transform their businesses with data. By becoming a Google Certified Professional – Data Engineer, you signal to companies that you’re skilled in our data technologies, and can help them tackle their challenging data problems.

Google Certified Professional – Data Engineer
We envision the Data Engineer as a key role in organizations of the future, helping to modernize the way they use data and infrastructure together to enable decision-making and business transformation. Data Engineers will build, maintain and troubleshoot data processing systems that are secure, reliable and scaleable, and this certification establishes a trusted standard of proficiency for the role.

The Google Certified Professional – Data Engineer can:

shape business outcomes by analyzing data
build statistical models that support smart decision-making
create machine learning models that automate and simplify business processes
design, build, maintain and troubleshoot data processing systems that are secure, reliable, fault-tolerant, scalable and efficient

How do I become a Google Certified Professional – Data Engineer?
First off, real-world, hands-on experience is the best preparation, so roll up your sleeves and start working with the GCP technologies. We also offer a number of educational resources and courses to help you on your journey.

To help you know where you may still need experience, we’ve developed the Google Data Engineer Certification Exam Guide. This lists all of the skills that we expect a Data Engineer to have.

Are you ready to show what you know? Sign up here and we’ll let you know when the beta exam launches for the Google Data Engineer Certification.

At Google Cloud, we’re seeing incredible growth as more businesses move to the cloud, coupled with increasing demand for people who fit the Data Engineer profile. Our customers are looking to solve existing and new problems with data using some of the same technologies, tools and techniques that Google has used in solving data problems. A qualified Data Engineer will make all the difference.

Quelle: Google Cloud Platform