Amazon Kinesis enables you to process and analyze data as it arrives and respond Website clickstreams, and IoT telemetry data for machine learning (ML), analytics, and otherĪpplications. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, Scale, along with the flexibility to choose the tools that best suit the requirements of yourĪpplication. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any Amazon KinesisĪmazon Kinesis makes it easy to collect, process, andĪnalyze real-time, streaming data so you can get timely insights and react quickly to new FinSpace also includes a library of 100+ functions, suchĪs time bars and Bollinger bands, for you to prepare data for analysis. Youĭefine your data access policies in one place and FinSpace enforces them while keeping audit logs toĪllow for compliance and activity reporting. FinSpace makes it easy to discoverĪnd share data across your organization in accordance with your compliance requirements. Such as asset class, risk classification, or geographic region. With FinSpace, you collect data and catalog it by relevant business concepts It can take months to find the rightĭata, get permissions to access the data in a compliant way, and prepare it for analysis.įinSpace removes the heavy lifting of building and maintaining a data management system forįinancial analytics. Such as historical securities prices from stock exchanges. FinSpace reduces the time you spendįinding and preparing petabytes of financial data to be ready for analysis from months toįinancial services organizations analyze data from internal data stores such as portfolio,Īctuarial, and risk management systems as well as petabytes of data from third-party data feeds, Service purpose-built for the financial services industry (FSI). Amazon FinSpaceĪmazon FinSpace is a data management and analytics You can run workloads on Amazon EC2 instances, onĪmazon Elastic Kubernetes Service (Amazon EKS) clusters, or on-premises using Amazon EMR on AWS Outposts. Less than half of the cost of traditional on-premises solutions and overģx faster than standard Apache Spark. With Amazon EMR, you can run petabyte-scale analysis at Provisioning capacity and tuning clusters. Up, operate, and scale your big data environments by automating time-consuming tasks such as Platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache Amazon EMRĪmazon EMR is the industry-leading cloud big data

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