Amazon provides a robust, broad and fully integrated portfolio of cloud computing services to help our clients to analyze, design, build, secure, and deploy big data solutions. With AWS services, there’s no need to procure hardware and no requirement for infrastructure to support, maintain and scale. Clients can simply focus their resources for uncovering new insights of Big data.
Amazon Elastic Map Reduce (EMR)
Amazon Elastic Map Reduce (EMR) was relased by Amazon in April 2009. Provisioning of the Hadoop cluster, planning/running and terminating jobs, and handling data transfer between EC2 (VM) and S3 (Object Storage) are implemented by Elastic Map Reduce. It is used for data analysis in web indexing, log analysis, data warehousing, machine learning, financial analysis, scientific simulation etc. EMR also helps workloads based on Apache Spark, Presto and Apache HBase – such that they integrate with Hive and Pig.
With Big Data, when information reaches petabytes of size—querying experiences an understandable lag in speed. Redshift provides some of the fastest query speeds. It uses columnar storage technology in order to improve I/O efficiency and parallelized queries across multiple nodes to support high performance. Actually, it is developed on the data warehouse technology MPP (Massive Parallel Processing) ParAccel by Actian.
Amazon Kinesis is a fully managed AWS service for real-time processing of streaming data at massive scale. It can continuously capture and store terabytes of data per hour from hundreds of thousands of data sources. Kinesis Data Firehose is the coolest way to transform streaming data into data stores and analytics tools. It can analyze, design, capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk.
Amazon Athena helps companies to query all the data stored in Amazon S3 using standard SQL in a pay-per-query model, without having to migrate data to a dedicated warehouse. It is a fusion of Hadoop Hive for the Data Description Language (DDL) and Facebook’s Presto for SQL. Athena can transform data directly from Amazon S3 storage and uses Amazon’s Lambda serverless programming framework to allocate resources on demand.
Nub8 starts all project with a detailed analysis of our customer’s business specifics and requirements to deliver tailored big data solutions based on AWS. We specialize in Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Athena, and the rest of the AWS Big Data platform to process data and create Big Data environments. Nub8 offers specialized AWS Big Data consulting services and has a team of experts ready to help our clients.