Tag: Data Lake

With the proliferation of cost-effective storage options such as Amazon S3, there should be no reason you can’t keep your data forever, except that with this much data it can be difficult to create value in a timely and efficient way. MongoDB’s Atlas Data Lake enables developers to mine their data for insights with more storage options and the speed and agility of the AWS Cloud. It provides a serverless parallelized compute platform that gives you a powerful and flexible way to analyze and explore your data on Amazon S3.

Data management architectures have evolved drastically from the traditional data warehousing model, to today’s more flexible systems that use pay-as-you-go cloud computing models for big data workloads. Learn how AWS services like Amazon EMR can be used with Bryte Systems to deploy an Amazon S3 data lake in one day. We’ll also detail how AWS and the BryteFlow solution can automate modern data architecture to significantly accelerate delivery and business insights at scale.

Data is one of the most important assets FinancialForce customers have, and business applications in particular hold an enormous amount of vital data. Tapping into this can mean the difference between a well-run and world-class business. FinancialForce provides solutions on top of the Salesforce platform for core business functionalities, such as financial management and professional services automation. Learn how FinancialForce unlocks the potential of data by integrating between AWS and Salesforce.

We recently hosted our first-ever APN Digital Summit with 20 sessions covering seven different AWS service areas. The all-day virtual summit gave APN Partners the chance to dive deep in areas without having to leave their office. We also hosted a virtual GameDay for APN Partners to apply their knowledge of the services covered during the session tracks. On our new APN YouTube channel, you can watch some of our sessions from the APN Digital Summit.

AWS provides a broad set of managed services for data analytics that, along with a strong APN Partner community, can help you build a scalable, secure, and cost-effective data lake. Customers and APN Partners want to know how to put all these pieces so we created a new poster and video explaining the overall flow of data—from data collection, storage, and processing all the way to analytics and machine learning.

Join us for the inaugural APN Digital Summit, a virtual webinar series for our APN Partner community. Hear from AWS team experts and get your questions answered at one of our 19 virtual sessions. We have webinars available for all APN Partner types, so take a look at our full agenda, which includes topics on AWS Serverless, AWS Storage Solutions, Amazon GuardDuty, Data Lakes, and Machine Learning.

In an era where always-on connectivity, IoT, and unstructured data in the public domain are the new normal, the ability of companies to compete and differentiate rests on their ability to leverage data and analytics. In this post, we explore how Infosys is leveraging AWS to provide clients with a solution based on Boundaryless Architecture. Infosys is an APN Premier Consulting Partner and Managed Service Provider with AWS Competencies in both Migration and Financial Services.

Amazon Athena is a Presto-distributed SQL engine used to query unstructured data using standard SQL, where you pay only for the amount of data you query. Chartio, an AWS Competency Partner, recently announced support for Athena. Their solution allows you to query and visualize data stored in an Amazon S3 data lake using standard SQL. You can also use their visual drag-and-drop SQL layer, which generates native SQL queries for you.

To gain the insights needed to fuel business growth, organizations need to collect more data and do more with it. That’s where a data lake can help—it’s a repository that holds a large amount of raw data in its native (structured or unstructured) format until that data is needed, enabling you to accommodate virtually any use case. Check out Cloudwick’s Data Lake Foundation on AWS Quick Start, and then drill down a bit deeper into the workings and value of the data catalog.

AWS Solution Space allows AWS Competency Partners to showcase customer-ready solutions based on architectures validated by AWS. These are quick, cost effective, repeatable solutions meant to create new business leading to production workloads. Customers can also request AWS support for launching each solution. At launch, we are featuring 10 customer-ready solutions: 5 for Big Data, 3 for Machine Learning, one for Security, and one for End User Computing.