Cloud Analytics for Cloud Data Services News
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.
June 16, 2016
Spark is garnering a lot of attention for streamlining the development of big data analytics. But, it can also improve ETL processes. Expert George Lawton explains further.
May 27, 2016
SAP cloud certification for HANA on Azure and AWS extends the software giant's reach, but also provides another means for enterprises to port massive amounts of data to the two cloud platforms.
Cloud Analytics for Cloud Data Services Get Started
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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
For many IT organizations, big data seems too big to tackle. But there are several ways an enterprise can ease into big data, and cloud computing can help. Continue Reading
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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
Oracle Analytics Cloud rounds up a number of the company's business intelligence and big data cloud services. Expert Robert Sheldon takes a look at the cloud analytics platform. Continue Reading
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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
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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