Data Lake and Anaytics

How Organizations Like Yours Can Leverage Data Lakes and Analytics to Create Greater Business Impact

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.

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

Three Pillars of Data Warehousing


The analysis of outcomes begins in part with analyzing the volume of expected data from each data source and its projected growth over time. Terabytes are very common.


The rate at which data is being generated determines the rate at which the consumption and ingestion of data must scale to.


Variation in terms of values, cases and business rules also is crucial for understanding and ingesting the data into the data warehouse to allow the business to succeed with the best results and business impact.


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.