Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. The engine should be able to ingest both streaming data and data from Hadoop i.e. serve as a custom query engine atop of HDFS. High performance and mobility. References.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

DECEMBER 8, 2016

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. Some examples of how current customers use AWS are: Cost-effective solutions. Agilité accrue.

AWS 155

AWS Cloud Lambda Innovation 155

All Things Distributed

JUNE 26, 2016

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. warehouses to glean business insights for jobs, ad spend, or financials for mobile apps. Advanced problem solving that connects big data with machine learning.

AWS 90

AWS Cloud Healthcare Blockchain 90

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data.

Cloud 138

Cloud Big Data AWS Analytics 138

All Things Distributed

NOVEMBER 30, 2016

For example, they want us to help them develop chatbots that understand natural language, build Alexa-style conversational experiences for mobile apps, dynamically generate speech without using expensive voice actors, and recognize concepts and faces in images without requiring human annotators. Getting started with Rekognition is simple.

AWS 166

AWS Lambda Artificial Intelligence Mobile 166