ZDNet: Google makes Database Migration Service generally available

ZDNet: Google makes Database Migration Service generally available. “Google Cloud on Wednesday announced the general availability of its Database Migration Service (DMS), a serverless tool to migrate MySQL and PostgreSQL databases to Cloud SQL. Later in the year, Google will introduce support for Microsoft SQL Server. DMS supports migrations from both on-premises and other clouds. It offers a unique migration method that uses MySQL and PostgreSQL’s native replication capabilities and maximizes security, fidelity and reliability.”

FedTech: Air Force, Google Strike Agreement to Modernize Flight Training

FedTech: Air Force, Google Strike Agreement to Modernize Flight Training. “The Air Force has invested in virtual reality platforms in recent years to train pilots, and now is taking another leap forward in how it uses technology to prepare airmen to fly in actual, multimillion-dollar aircraft. In December, the Air Force, along with the Defense Department’s Defense Innovation Unit, announced an agreement with Google Cloud to modernize aspects of flight training via the use of cloud-based tools.”

Towards Data Science: How to start a Data Science Project using Google Cloud Platform

Towards Data Science: How to start a Data Science Project using Google Cloud Platform. “GCP (Google Cloud Platform) is a cloud computing service offered by Google. For those of you that are not familiar with cloud service, it is basically using a network to connect to a remote machine that you rent, making computations on that machine and send back the result. It’s just like car renting.” Not for beginners.

Health IT Analytics: FDA Makes Real-World Data Available on Google Cloud Platform

Health IT Analytics: FDA Makes Real-World Data Available on Google Cloud Platform. “The FDA’s MyStudies platform, a tool that aims to collect real-world data to improve clinical trials and advance medical research, is now available on Google Cloud Platform. Launched in November 2018, the MyStudies open-source technology platform supports drug, biologic, and device organizations as they collect and report real-world data for regulatory submissions.”

Big data, big world: new NOAA datasets available on Google Cloud (Google Cloud)

Google Cloud: Big data, big world: new NOAA datasets available on Google Cloud. “A vast trove of NOAA’s environmental data is now available on Google Cloud as part of the Google Cloud Public Datasets Program and NOAA’s Big Data Project, opening up possibilities for scientific and economic advances. We are thrilled to make this valuable data available for your exploration. Google Cloud will host 5 PB of this data across our products, including BigQuery, Cloud Storage, Google Earth Engine, and Kaggle. The stored data is available at no cost, though usual charges may still apply (processing, egress of user-owned data, for example).”

NIH: NIH makes STRIDES to accelerate discoveries in the cloud

NIH: NIH makes STRIDES to accelerate discoveries in the cloud. “The National Institutes of Health has launched a new initiative to harness the power of commercial cloud computing and provide NIH biomedical researchers access to the most advanced, cost-effective computational infrastructure, tools and services available. The STRIDES (Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability) Initiative launches with Google Cloud as its first industry partner and aims to reduce economic and technological barriers to accessing and computing on large biomedical data sets to accelerate biomedical advances.”

NOAA: Historical Radar Data in Google Cloud

NOAA: Historical Radar Data in Google Cloud . “A new partnership between NCEI and Google represents another big step toward greater public access to environmental data. Our historical archive and near real-time data of Level-II Next Generation Weather Radar (NEXRAD) are now available as a public dataset on Google Cloud Storage.”

VentureBeat: Google will launch 3 more cloud data center regions before 2019

VentureBeat: Google will launch 3 more cloud data center regions before 2019. “At its Google Cloud Next conference in San Francisco today, Google announced that it will open three more regions of data centers around the world by the end of 2018. They’ll be coming to the Netherlands, Canada, and California, said Urs Hölzle, Google’s senior vice president of technical infrastructure.”

Evernote Is Headed to the Cloud

Evernote is headed to the cloud. “After an intensive period of research and investigation involving several cloud providers, we have selected Google Cloud Platform to provide our data infrastructure moving forward. Until now, Evernote has owned, configured, and maintained its own servers and networks. This approach gave us the ability to build the service we wanted the way we wanted to build it. But it is also limiting—expensive to maintain, slow to upgrade, and difficult to scale. And while the infrastructure we have now is perfectly suited to support Evernote as it runs today, it lacks the speed and flexibility we need for tomorrow.”

Google Doubles Down on the Cloud

Meanwhile, Google is also getting seriously (or more seriously, I suppose) into the cloud. “Google has unveiled ambitious expansion plans for its global cloud footprint with the construction of 12 data centres and the opening of 11 new cloud regions worldwide. Google is today the third largest cloud provider in the world behind AWS and Microsoft Azure, according to Morgan Stainley.”

Processing 3.5 Million Books in Google’s Cloud

Oh, WOW: What it looks like to process 3.5 million books in Google’s cloud. “What did it look like to process 3.5 million books? Data-mining and creating a public archive of 3.5 million books is an example of an application perfectly suited to the cloud, in which a large amount of specialized processing power is needed for only a brief period of time. Here are the five main steps that I took to make the invaluable learnings of millions of books more easily and speedily accessible in the cloud…”

New Contest Crowdsources the Fight Against Cancer

Interested in crowdsourcing? Interested in fighting cancer? Here ya go. “The Challenge tackles three key questions about the sub-clonality of cancer: how many subclones are within any given tumour, how did these subclones grow and evolve, and which genetic mutations are present in each subclones? Using a method to simulate DNA sequencing data that closely mimics data from real human tumours, which was initially developed as part of a previous DREAM challenge, the team has created a set of 50 tumours with distinctive life-histories and evolutions. Contestants will create tools in the cloud using Google Compute Engine that will be run in Galaxy, a widely-used open-source platform for performing biomedical research. Contestants will also use Docker images to setup the environment for their tool to run in, allowing the tools to easily be ported to other systems. Further, the use of Docker images and the tools’ compatibility with Galaxy ensures […]