AWS Partner Network (APN) Blog

Category: AWS Big Data

Cazena-AWS-Partners

Accelerating Apache and Hadoop Migrations with Cazena’s Data Lake as a Service on AWS

Running Hadoop, Spark, and related technologies in the cloud provides the flexibility required by these distributed systems. Cazena provides a production-ready, continuously optimized and secured Data Lake as a Service with multiple features that enables migration of Hadoop and Spark analytics workloads to AWS without the need for specialized skills. Learn how Cazena makes it easy to migrate to AWS while ensuring your data is as secure on the cloud as it is on-premises.

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Accenture_AWS Solutions

Maximizing the Value of Your Cloud-Enabled Enterprise Data Lake by Tracking Critical Metrics

Successful data lake implementations can serve a corporation well for years. Accenture, an APN Premier Consulting Partner, recently had an engagement with a Fortune 500 company that wanted to optimize its AWS data lake implementation. As part of the engagement, Accenture moved the customer to better-suited services and developed metrics to closely monitor the health of its overall environment in the cloud.

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Zaloni_AWS Solutions

Turning Data into a Key Enterprise Asset with a Governed Data Lake on AWS

Data and analytics success relies on providing analysts and data end users with quick, easy access to accurate, quality data. Enterprises need a high performing and cost-efficient data architecture that supports demand for data access, while providing the data governance and management capabilities required by IT. Data management excellence, which is best achieved via a data lake on AWS, captures and makes quality data available to analysts in a fast and cost-effective way.

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MongoDB_AWS Solutions

MongoDB Atlas Data Lake Lets Developers Create Value from Rich Modern Data 

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.

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How to Create a Continually Refreshed Amazon S3 Data Lake in Just One Day

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.

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Reltio_AWS Solutions

Leveraging Multi-Model Architecture to Deliver Rich Customer Relationship Profiles with Reltio Cloud

Building a true Customer 360 requires gaining a comprehensive view of customer behavior and preferences by aggregating data from all of these sources, and more. With a single source of truth, a true Customer 360 delivers complete a real-time customer view to all parts of the organization—sales, marketing, service, support, etc. This consistent and contextual insight can help enterprises delight customers with personalized experience and timely offers through each touch point in the customer journey.

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Panoply_AWS Solutions-1

Shifting Away from Legacy Data Systems Helps Companies Tap into Their Most Vital Resource

Have you ever noticed that when businesses talk about data, they often use metaphors having to do with water? In the same way plumbing makes modern life possible, a well-maintained data infrastructure is a crucial foundation on which the health of a business depends. Examine how replacing an inflexible, legacy data system with a cloud data warehousing solution can open the “floodgates” to new opportunities and modernize the approach to data management.

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Building a Data Lake Foundation for Salesforce in AWS

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.

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AWS Big Data

Reinventing Relational Data Management Using AWS Big Data Services

Today’s businesses deal with many different varieties of data, including structured datasets stored in various repositories like a relational databse management system (RDBMS) or enterprise resource planning (ERP); semi-structured datasets like web logs and click-stream datasets; and unstructured datasets like images and videos. AWS provides a secure, scalable, comprehensive, and cost-effective portfolio of services that enable customers to build their data lake in the cloud.

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OmniSci_AWS Solutions

GPU-Powered Big Data Analytics with OmniSci Helps Change Data into Information

With the rapid growth of data comes the challenge of getting meaningful information from it. Ongoing advancements in harnessing the power of GPU for processing complex programmatic algorithms is enabling user experience of interactively analyzing large volume of data with near real-time latency. OmniSci (formerly named MapD) is using these advancements to provide GPU-based SQL store and analytical tools.

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