AWS Partner Network (APN) Blog

Tag: Data Lake

Cognizant-AWS-Partners

Rapid SAP S/4HANA Conversion and Migration from On-Premises to AWS in a Single Step

Cognizant is providing consulting and execution services for SAP customers to migrate the SAP landscape from on-premises to AWS, with SAP S/4HANA implementation on AWS combining SAP S/4HANA conversion and migration to AWS in a single step using the Cognizant migration factory called SmartMove. This solution provides a risk-free, comprehensive solution to transform customers’ SAP landscape into one that’s intelligent enterprise-ready.

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Connectria-AWS-Partners

Hosting IBM i and AIX Systems with Low-Latency Connectivity to AWS with Connectria

Customers with IBM i and AIX environments are keen to accelerate their modernization with AWS. By reducing complexity or cost, customers can benefit from a low latency, hybrid solution that enables new use cases derived from the connectivity between managed IBM i/AIX and AWS. Connectria is an AWS Migration Competency Partner and audited MSP that provides a fully managed hosting service for IBM i and AIX systems.

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Tealium-AWS-Partners

Where Does a Customer Data Platform Fit in With My AWS Data Lake?

When it comes to evaluating tools and technologies that focus on customer data, it can be difficult to understand how one tool differentiates from the next. Tealium was one of the first entrants in the Customer Data Platform (CDP) category and helped shape the industry. As such, Tealium is uniquely positioned to help organizations make the most of their data and offer more ways to deliver high-quality customer data to AWS in real-time.

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Talend-AWS-Partners

Embrace Data Sovereignty and Low Latency in Building a Trusted Data Lake with AWS Outposts and Talend

Globalization and digitalization require companies to comply with data protection rules in the limitless world of the internet. Meeting this challenge requires maximum data agility and availability along with minimal data latency. Integration with AWS Outposts makes Talend Data Fabric allows you to quickly integrate, clean, and move data from different sources with low-latency, and meet data sovereignty regulatory requirements for hybrid deployments.

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Cazena-AWS-Partners

Cazena’s Instant AWS Data Lake: Accelerating Time to Analytics from Months to Minutes

Given the breadth of use cases, data lakes need to be a complete analytical environment with a variety of analytical tools, engines, and languages supporting a variety of workloads. These include traditional analytics, business intelligence, streaming event and Internet of Things (IoT) processing, advanced machine learning, and artificial intelligence processing. Learn how Cazena builds and deploys a production ready data lake in minutes for customers.

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Bursting Your On-Premises Data Lake Analytics and AI Workloads on AWS

Developing and maintaining an on-premises data lake is a complex undertaking. To maximize the value of data and use it as the basis for critical decisions, the data platform must be flexible and cost-effective. Learn how to build a hybrid data lake with Alluxio to leverage analytics and AI on AWS alongside a multi-petabyte on-premises data lake. Alluxio’s solution is called “zero-copy” hybrid cloud, indicating a cloud migration approach without first copying data to Amazon S3.

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Cloud Anything-13

How AWS and ISVs Are Empowering Customers on Their Cloud Journey

AWS is building a partner community that is the most customer-centric in the world and creates long-term success for AWS and our committed partners. One of the ways we do this is by focusing our investments on independent software vendors (ISVs) that extend the reach of the AWS Cloud and provide our customers with more choice. These trusted AWS Partners provide feature-rich experiences on AWS to support customers’ enterprise IT needs.

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nClouds-AWS-Partners

Rapid Data Lake Development with Data Lake as Code Using AWS CloudFormation

Data lakes have evolved into the single store-platform for all enterprise data managed. On AWS, an integrated set of services are available to engineer and automate data lakes. A data lake on AWS is able to group all of the previously mentioned services of relational and non-relational data and allow you to query results faster and at a lower cost. Learn how nClouds used code automation via AWS CloudFormation to create a dynamic data lake stack to visualize and analyze the financial market data.

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Okta-AWS-Partners

Implementing SAML AuthN for Amazon EMR Using Okta and Column-Level AuthZ with AWS Lake Formation

As organizations continue to build data lakes on AWS and adopt Amazon EMR, especially when consuming data at enterprise scale, it’s critical to govern your data lakes by establishing federated access and having fine-grained controls to access your data. Learn how to implement SAML-based authentication (AuthN) using Okta for Amazon EMR, querying data using Zeppelin notebooks, and applying column-level authorization (AuthZ) using AWS Lake Formation.

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Onica-AWS-Partners

Best Practices from Onica for Optimizing Query Performance on Amazon Redshift

Effective and economical use of data is critical to your success. As data volumes increase exponentially, managing and extracting value from data becomes increasingly difficult. By adopting best practices that Onica has developed over years of using Amazon Redshift, you can improve the performance of your AWS data warehouse implementation. Onica has completed multiple projects ranging from assessing the current state of an Amazon Redshift cluster to helping tune, optimize, and deploy new clusters.

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