Banks have an important role to play in the post-pandemic economic recovery. According to an EY Future Consumer Index study, more than eight out of 10 people are worried about their financial position, and 25% believe it may take years before they return to a state of stability. Banks can help by providing businesses access […]

Customers tell us there are many benefits and opportunities to reduce costs that can be unlocked from migrating and modernizing Microsoft and Windows Server-based workloads to Google Cloud. We recently worked with the Enterprise Strategy Group (ESG) to run an economic validation study across Google Cloud customers who have migrated or modernized their Microsoft and […]

For the past 18 years Google has been working to organize the world’s information and make it universally accessible and useful. Today, much of the data being generated is location-aware and the questions people are asking center on “where.” Where can I be tested for COVID-19? Where is early voting? Where is there a coffee […]

The global pandemic has not only transformed our daily lives, it’s also transforming how academic research is conducted. With many campus labs and facilities closed, researchers struggle with a lack of access to the enormous compute power today’s scientific advances depend upon. And, according to a November 2020 McKinsey & Company report, the challenges of […]

Over the past three years, Google Cloud has worked closely with Cisco to deliver a number of customer-focused solutions in areas such as hybrid cloud, multicloud, work transformation, and contact center integrations. Earlier this week, we were excited to share updates on our joint work in the collaboration space atWebexOne, Cisco’s digital collaboration conference, which […]

Dataproc is a fast, easy-to-use, fully managed cloud service for running open source, such as Apache Spark, Presto, and Apache Hadoop clusters, in a simpler, more cost-efficient way. Today, with the general availability of Dataproc Hub, and the launch of our machine learning initialization action, we are making it easier for data scientists to use […]

Python has quickly solidified itself as one of the top languages for data scientists looking to prep, process, and analyze data for analytics and machine learning related use cases. Dask is a Python library for parallel computing with similar APIs to the most popular Python data science libraries such as Pandas, NumPy and scikit-learn. Dask’s […]

Apache Hadoop and Apache Spark are established and standard frameworks for distributed storage and data processing. Google Cloud’s Dataproc is a fast, easy-to-use, fully managed cloud service for running Apache Spark and Apache Hadoop clusters in a simple, cost-efficient way. For users looking to build machine learning models, you might use Dataproc for preprocessing your […]