AWS Partner Network (APN) Blog

Tag: Amazon Redshift

CloudZero_AWS-Partners

Improving Dataset Query Time and Maintaining Flexibility with Amazon Athena and Amazon Redshift

Analyzing large datasets can be challenging, especially if you aren’t thinking about certain characteristics of the data and what you’re ultimately looking to achieve. There are a number of factors organizations need to consider in order to build systems that are flexible, affordable, and fast. Here, experts from CloudZero walk through how to use AWS services to analyze customer billing data and provide value to end users.

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AWS Partner Network

The Most Viewed APN Blog Posts in 2019

Take a look at the most popular APN Blog posts in 2019. Our goal with this blog is to share timely and relevant news, technical solutions, partner success stories, and more from Amazon Web Services and the AWS Partner Network (APN) specifically. The APN is the global partner program for AWS and helps tens of thousands of organizations across the world build, market, and sell their AWS-based offerings. Thank you for reading, and Happy New Year!

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Global Partner Summit 2019-1

New APN Program Launches and Updates Announced at AWS re:Invent 2019

The annual Global Partner Summit was held Dec. 2-6 at AWS re:Invent 2019, and we are excited to introduce the APN’s new program launches and key initiatives for 2020. Global Partner Summit helps APN Partners to leverage AWS technologies and learn how the APN program can help companies build, market, and sell their AWS-based offerings. This post will showcase the new APN programs that partners can take advantage of today, including AWS Service Ready and the APN Global Startup Program.

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AWS-Service-Ready-1

AWS Service Ready Helps Customers Find Validated Products That Integrate with AWS Services

Before making a purchasing decision, AWS customers tell us they want to know if a tool or application will integrate with AWS services running in their cloud environment. To meet this need for customers, we are excited to introduce AWS Service Ready. This program identifies and validates products from APN Technology Partners that integrate with specific AWS services, and recommends these products to customers.

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AWS-reInvent-Expo-2019

On the Ground: Daily Updates from AWS Global Partner Summit 2019

We are thrilled to be in Las Vegas for AWS re:Invent 2019 and our annual Global Partner Summit, meeting and connecting with APN Partners from around the world. This year’s conference provides APN Partners with great opportunities to connect, collaborate, and discover. APN Partners will be busy all week attending breakout sessions, chalk talks, and hands-on trainings to learn how the APN program can help their business build, market, and sell their AWS-based offerings.

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Driving Hybrid Cloud Analytics with Amazon Redshift and Denodo Data Virtualization

A data integration architecture that can virtually connect multiple data platforms provides business users with immediate access to data, with far less IT friction than traditional methods, so you can make faster, more data-driven decisions. The Denodo Platform for AWS can aid organizations in managing their data by providing an alternative data integration method. With Denodo, data is presented in real-time and without the need to replicate data to a new consolidated repository.

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How to Enable Mainframe Data Analytics on AWS Using Model9

Mainframe proprietary storage solutions such as VTLs hold valuable data locked in a platform with complex tools. This can lead to higher compute and storage costs, and make it harder to retain existing employees or train new ones. When mainframe data is stored in a cloud storage service, however, it can be accessed by a rich ecosystem of applications and analytics tools. Model9 enables mainframe customers to backup and archive directly to AWS.

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Datacoral_AWS Solutions

Building Serverless Data Pipelines on Amazon Redshift By Writing SQL with Datacoral

Amazon Redshift is a powerful yet affordable data warehouse, and while getting data out of Redshift is easy, getting data into and around Redshift can pose problems as the warehouse grows. Datacoral is a serverless data platform that manages metadata changes, data transformations, and orchestrating pipelines for data consumers. In this post, learn how to write Redshift SQL to represent data flow, and how serverless data pipelines get automatically generated for that data flow.

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Heimdall Data_AWS Solutions

Using the Heimdall Proxy to Split Reads and Writes for Amazon Aurora and Amazon RDS

Horizontally scaling a SQL database involves separating the write-master from read-only servers. This allows the write server to perform dedicated write operations rather than processing redundant read queries. However, writing to one node and reading from another can result in inconsistent data due to synchronization delays. Heimdall Data offers a database proxy to help developers and architects achieve optimal scale from their Amazon RDS and Amazon Aurora environment without any application changes.

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SnapLogic_AWS Solutions

Migrating Data Warehouse Workloads from On-Premises Databases to Amazon Redshift with SnapLogic

Amazon Redshift is a fast, scalable, easy-to-use data warehouse solution built on massively parallel processing (MPP) architecture and columnar storage. SnapLogic is an easy-to-learn data integration tool that allows business analysts and integration specialists to accomplish data ingestion from various sources into Redshift. The SnapLogic Redshift Bulk Load Snap (pre-built connector) is part of the SnapLogic Intelligent Integration Platform and enables loading large volumes of data rapidly into Redshift all at once.

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