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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Advanced problem solving that connects big data with machine learning. For more details, see the case studies at All AWS Customer Stories.

AWS 90
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Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

All Things Distributed

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. For more customer case studies, see All AWS Customer Stories. Rapid time to market.

AWS 155
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Spot Instances - Increased Control - All Things Distributed

All Things Distributed

We have already seen customers successfully run HPC workloads, Hadoop-based jobs (as shown in the BackType case study), and testing simulations (as shown in the BrowserMob case study) on Spot. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly

AWS 87
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Why test data management is more important than you think

Testsigma

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved.

Testing 60
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Probabilistic Data Structures for Web Analytics and Data Mining

Highly Scalable

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191