AWS Partner Network (APN) Blog

Category: Analytics

AtScale-AWS-Partners

Using AtScale and Amazon Redshift to Build a Modern Analytics Program with a Lake House

There has been a lot of buzz about a new data architecture design pattern called a Lake House. A Lake House approach integrates a data lake with the data warehouse and all of the purpose-built stores so customers no longer have to take a one-size-fits-all approach and are able to select the storage that best suits their needs. Learn how to couple Amazon Redshift with a semantic layer from AtScale to deliver fast, agile, and analysis-ready data to business analysts and data scientists.

Collibra-AWS-Partners

Enabling Data Trust with Collibra Data Intelligence Cloud on AWS

Data in any format is valuable as long as you know how to use it effectively, but such data monetization is only possible if you also trust your data. In today’s fast-paced world, where data is rapidly produced, stored, and consumed, many organizations struggle to organize, find, and utilize their data skillfully and successfully. Collibra’s data lineage, access control, and data cataloging capabilities powered by AWS are a valuable asset in terms of analyst productivity for data discovery and research.

Tamr-AWS-Partners

How Tamr Optimized Amazon EMR Workloads to Unify 200 Billion Records 5x Faster than On-Premises

Global business leaders recognize the value of advanced and augmented big data analytics over various internal and external data sources. However, technical leaders also face challenges capturing insights from data silos without unified master data. Learn how migrating Tamr’s data mastering solutions from on-premises to AWS allowed a customer to process billions of records five times faster with fully managed Amazon EMR clusters.

VMware Cloud on AWS-dark

Monitoring VMware Cloud on AWS Workloads with Amazon OpenSearch Service

VMware Cloud on AWS brings VMware’s SDDC technologies to the AWS global infrastructure. When customers combine Amazon OpenSearch Service with Amazon Kinesis Data Firehose and AWS Lambda, you can create a managed, end-to-end log aggregation and workload monitoring solution for workloads, including those running in VMware Cloud on AWS. In this post, Learn the benefits of this monitoring solution and explore ideas on how to get started utilizing it.

Infosys-AWS-Partners

Migrating Netezza Workloads to AWS Using Amazon EMR and Amazon Redshift

Data warehouse modernization has been a key aspect of many customers’ broader cloud transformation stories. Legacy data warehouse systems, however, present many challenges when dealing with today’s enterprise data needs. Learn how AWS and Infosys collaborated to transform a legacy Netezza platform on AWS for a large retail customer. With Infosys tools, processes, and industry knowledge, the collaboration between AWS and Infosys enables customers to transform their analytics platforms.

WANdisco-AWS-Partners

How WANdisco LiveData Migrator Can Migrate Apache Hive Metastore to AWS Glue Data Catalog

Big datasets have traditionally been locked on-premises because of data gravity, making it difficult to leverage cloud-native, serverless, and cutting-edge technologies provided by AWS and its community of partners. Modernizing an on-premises analytics platform takes time, effort, and careful planning. Explore the challenges of migrating large, complex, actively-used structured datasets to AWS and how the combination of WANdisco LiveData Migrator, Amazon S3, and AWS Glue Data Catalog overcome those challenges.

Data Tokenization with Amazon Athena and Protegrity

Data security has always been an important consideration for organizations when complying with data protection regulations. Protegrity, an AWS ISV Partner and global leader in data security, has released a serverless User Defined Function (UDF) that adds external data tokenization capabilities to the Amazon Athena platform. Learn how customers can use the Protection Athena Protector UDF to tokenize or detokenize data at scale.

Bigstream-AWS-Partners

Bigstream Provides Big Data Acceleration with Apache Spark and Amazon EMR

Apache Spark and its parallel processing framework, along with the ease of scaling up in public clouds, have pushed out the limits for data analytics. Learn how Bigstream addresses growing Spark needs, with software that optimizes existing CPU infrastructure and can also seamlessly incorporate advanced programmable hardware. With the same number of servers, Bigstream can accelerate Spark clusters 3x with software alone and 10x when introducing FPGAs.

VMware Cloud on AWS-dark

How to Integrate VMware Cloud on AWS Datastores with AWS Analytics Services

Running virtual machines with databases or datastores on VMware Cloud on AWS lets you use the same management tools and VMs as on your on-premises VMware vSphere environment. You can easily extend these workloads to the cloud and take advantage of AWS on-demand delivery, global footprint, elasticity, and scalability. Learn how VMware Cloud on AWS brings these datasets closer to AWS Analytics Services, making it easier to use services to draw meaningful insights from business data.

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.