Combine all your data for advanced analytics, real-time streaming, predictive analytics, artificial intelligence (AI), and machine learning
Data lake acts as a centralized repository for storing, categorizing, processing, and analyzing, all your data by diverse groups within your organization
As a single source of truth, a data lake offers you a better data governance, security, and control over all your analytical and data visualization needs
Enterprise data sources include on-premises databases, SaaS applications, social media, external data providers, and public data sets.
A data lake solution allows you to drive more value from your data by enabling new business intelligence and analytics capabilities for your business users and provide a robust data security mechanism to prevent unauthorized access.
By implementing a well-designed data lake architecture, you can reduce TCO and increase operational resilience and business agility.
Based on your business requirements, AWS provides a wide range of options to migrate the data into the data lakes. Once the data is ready for the cloud, you can store data securely in any format and at any scale with Amazon S3 and Amazon Glacier.
With AWS you can run a broad set of cost-effective analytical services from the centralized data lake. Amazon Athena makes it easy to analyze data directly in S3 and Glacier using an SQL query language. With AWS services you can process the vast amount of data in a very cost-effective way using Spark, Hadoop & Amazon EMR. For data-warehousing, Amazon Redshift provides the ability to run complex analytic queries against petabytes of structured data.
One-stop data-store that feeds into various applications
Vast pool of data is available for the various analytical purpose
Data-scientists can access,prepare and analyze data faster
Data-lakes can store data in any format to process it later
Data-lakes are highly scalable with no limitations to storage capacity
Data is always available for advance predictive analysis.
The data your business is generating is becoming more valuable as it comes from newer and diverse sources.
Data lake-powered insights are driving a new era of digital transformation. Building enterprise data lake solutions will enable you to perform advanced analytics on many different types of data sources, leveraging AI/ML technologies.
