Organizations are tasked with managing multiple data types from many varied sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
How Organizations Like Yours Can Leverage Data Lakes and Analytics to Create Greater Business Impact
Modern Data Lakes represent an increasingly popular approach to store and analyze data (both structured and unstructured), via a central repository, that addresses the need to delivery insights in a timely manner with both agility and flexibility. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand .
Why Build a Data Lake on Aws?
AWS provides a highly scalable, flexible, secure, and cost-effective platform for your organization to build a Data Lake – a data repository for both structured and unstructured data. With a Data Lake on AWS, your organization no longer needs to worry about structuring or transforming data before storing it. You can analyze data on-demand without knowing what questions you’re going to ask upfront.
Benefits of a Data Lake on Aws
Security and Compliance
Easily encrypt all of the data in your AWS-based Data Lake. Achieve PCI DSS, HIPAA, and other regulatory compliance standards with AWS.
Most Complete Platform
Leverage all of the benefits of AWS including agility, security, flexibility, and a lower Total Cost of Ownership (TCO). Take advantage of AWS’s broad and deep set of big data services to drive new insights.
Flexibility
Store all your data, regardless of volume or format, using Amazon Simple Storage Service (Amazon S3). Easily ingest data in a variety of ways, including leveraging Amazon Kinesis, AWS Snowball, AWS Direct Connect, and more.
Three Pillars of Data Warehousing
Analytics
Unlock the Intelligence inside your data with AWS Analytics
Collect. Analyze. Model
A broad spectrum of industries is taking advantage of Amazon Web Services to build Big Data Analytics to meet the ever-increasing volume being generated. With AWS we have a complete end-to-end suite of big data services to meet these needs – all on-demand, on the cloud, and with scale. Big Data with AWS provides solutions for every stage of the Big Data lifecycle. From Collection, Streaming and Storage, to using relational databases, managed warehouse, NoSQL and processing real-time data streams and elastic Hadoop processing.