AWS Cloud
AWS Cloud

Securely store, categorize, and analyze all your data in one, centralized repository.

Traditional data storage and analytic tools can no longer provide the agility and flexibility required to deliver relevant business insights. That’s why many organizations are shifting to a data lake architecture. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it's readily available to be categorized, processed, analyzed and consumed by diverse groups within an organization. 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.

Learn how AWS and APN partners have helped organizations migrate massive volumes of heterogeneous data to a data lake on AWS, where they can swiftly and simply leverage it for critical business insights.

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  • Collect and store any type of data, at any scale, and at low cost
  • Secure the data and prevent unauthorized access
  • Catalogue, search, and find the relevant data in the central repository
  • Quickly and easily perform new types of data analysis
  • Use a broad set of analytic engines for ad hoc analytics, real-time streaming, predictive analytics, artificial intelligence (AI), and machine learning

A data lake can also complement and extend your existing data warehouse. If you’re already using a data warehouse, or are looking to implement one, a data lake can be used as a source for both structured and unstructured data.

A data lake on AWS gives you access to the most complete platform for big data. AWS provides you with secure infrastructure and offers a broad set of scalable, cost-effective services to collect, store, categorize, and analyze your data to get meaningful insights. AWS makes it easy to build and tailor your data lake to your specific data analytic requirements. You can get started using one of the available Quick Starts or leveraging the skills and expertise of an APN partner to implement one for you. A data lake can be used as a source for both structured and unstructured data.

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Easily ingest data in a variety of ways, including leveraging Amazon Kinesis, AWS Import/Export Snowball, AWS Direct Connect, and more. Store all of your data, regardless of volume or format, using Amazon Simple Storage Service (Amazon S3).

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Deploy the infrastructure you need almost instantly. This means your teams can be more productive, it’s easier to try new things, and projects can roll out sooner.

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AWS provides capabilities across facilities, network, software, and business processes to meet the strictest requirements. Environments are continuously audited for certifications such as ISO 27001, FedRAMP, DoD SRG, and PCI DSS. 

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Build virtually any big data application and support any workload regardless of volume, velocity, and variety of data. With 50+ services and hundreds of features added every year, AWS provides everything you need to collect, store, process, analyze, and visualize big data on the cloud.


Big data technologies can be extremely complex and require manual operation. If you can intelligently automate your big data operations then you can lower your costs, make your team more productive, scale more efficiently, and lower the risk of failure. Demandbase, creator of a targeting and personalization platform for business-to-business (B2B) companies, uses Qubole and a data lake on AWS to reduce the management complexities and costs of processing and analyzing their data. Hear how Qubole empowers Demandbase to analyze trillions of rows of structured and unstructured data in real time, making their data scientists and data engineers productive from day one.

Join our webinar to learn how to dramatically reduce management complexities for analytics operations and operate at the scale and efficiency of large enterprises, with a small data team.

Webinar Title: Automating Big Data Technologies for Faster Time-to-Value
Qubole Presenter: Minesh Patel, Technical Director
Customer Presenter: Seth Myers, Senior Data Scientist, Demandbase
AWS Presenter: David Potes, Solutions Architect

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Learn how to reduce development time and innovate on AWS. In this webinar, Beachbody - sellers of fitness, weight loss, and muscle-building home-exercise videos - talks about their experience migrating to a data lake architecture on AWS using Talend. Beachbody will describe how they created an open enterprise data platform, giving their employees access to secure, well-governed data, and increasing DevOps efficiency across the entire company.

Join our webinar and find out how Talend and AWS helped Beachbody migrate a variety of unstructured and structured data sources to a data lake, shorten development and testing cycles, and solve complex deployment challenges common with real-time data.

Webinar Title: Architecting an Open Data Lake for the Enterprise
Talend Presenter: Ashwin Viswanath, Director, Cloud Product Marketing
Customer Presenter: Eric Anderson, Executive Director, Data, Beachbody
AWS Presenter: Pratap Ramamurthy, Solutions Architect

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The Informatica Intelligent Data Lake Management solution enables you to ingest, cleanse, process, govern, and secure high volumes of raw data into a trusted data lake on AWS. Informatica’s metadata-driven AI and enterprise cataloging capabilities empower business stakeholders such as analysts to quickly discover, profile, prepare, and secure data for timely, relevant business insights. In short, Informatica empowers businesses to leverage the power of a data lake on AWS and unleash big data insights that help drive innovation and sales.

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Today’s businesses run on big data and the metrics generated by that data need to be centrally defined and thoroughly accessible to be of real benefit. Today’s solution is Looker, a modern data platform that allows everyone in the company to find and explore the data they need to make decisions. Looker is built for cloud platforms like Amazon Web Services (AWS) and allows you to query modern cloud databases like data lakes directly. Customers use Looker for internal analytics, as well as to expose data to customers, partners and vendors.

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Take advantage of the benefits of a Data Lake with ongoing Data Lake Management on AWS from 47Lining.

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Rest easy with Cloudwick’s proven 3-step process to architecting and managing Data Lakes on AWS.

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Leverage NorthBay’s experience and deep alignment with AWS to build your custom Data Lake solution.

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