Cloud Analytics for Cloud Data Services News
December 29, 2016
Google bet big in 2016 on machine learning and data analytics as differentiators for its cloud platform to make a stronger case to enterprise customers.
August 19, 2016
The last of the Google database services still in testing are now generally available, as the cloud provider looks to flesh out its big data tools and meet enterprise demands.
August 02, 2016
With its now-available SQL Data Warehouse big data service, Microsoft aims to coax customers' on-premises data management into the cloud and keep pace with Amazon Web Services.
June 17, 2016
Google sees machine learning and deep analytics as the future of the cloud, as it seeks a strategy to stand out from the crowd beyond price.
Cloud Analytics for Cloud Data Services Get Started
Bring yourself up to speed with our introductory content
For the uninitiated, analytics can be overwhelming. How you approach your first analytics project in the cloud can make it bloom or lead to doom. To hit the big time, start small. Continue Reading
Machine learning represents a new frontier for compute, and the public cloud is making it more affordable and available than ever. But that doesn't mean you should rush in. Continue Reading
Big data and cloud computing have transformed today's data management technology market. Whether it's by augmenting traditional data warehousing models, allowing small organizations to realize the power of business intelligence (BI), or helping ... Continue Reading
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Evaluate Cloud Analytics for Cloud Data Services Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
As Microsoft grows its Azure big data portfolio, it can be tough for users to keep up. Here's a breakdown of must-know Azure terms for organizations taking the big data leap. Continue Reading
Navigating the range of big data services on Google Cloud Platform can be a challenge. Here is a list that breaks down what Google offers in the realm of big data analysis. Continue Reading
Big data services are an attractive cloud lure for enterprises. AWS, Azure and Google are fighting for number one, but who will come out on top? Continue Reading
Manage Cloud Analytics for Cloud Data Services
Learn to apply best practices and optimize your operations.
A successful cloud-based analytics implementation depends on following best practices to ensure that data from all sources is clean and current. Here are some tips. Continue Reading
IoT is driving huge data growth. Enterprise architects need to think about implementing an IoT analytics service for cloud applications in order to generate new business value. Continue Reading
Cloud services have become a popular cost-saving option for businesses, but they must be careful to protect against constantly evolving data risk. Continue Reading
Problem Solve Cloud Analytics for Cloud Data Services Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
As cloud evolves, new applications such as big data analytics and HPC enter the fray. What do these new apps mean for cloud's future and performance? Continue Reading
Open cloud architectures let providers scale storage and integrate with enterprise storage platforms -- two big requirements in the big data age. Continue Reading
The cloud can play a vital role in bringing M2M services to market more quickly for service providers, says TM Forum CEO Martin Creaner. Continue Reading