Tag: Amazon Redshift

With the AWS PartnerCast First Look series of webinars, you are first in line for the latest launch news, program updates, and just-in-time learning. We understand the importance of being able to provide your customers with the latest and greatest information, which is why we’ve created First Look as a fast, convenient way to learn directly from AWS experts. Ideal for both business and technical learners, First Look webinars are available in a format that works with your busy schedule.

Today’s enterprises are dealing with more than structured data that’s being exponentially generated. Customers are looking for effective ways to capture, store, curate, and analyze structured data, as well as semi-structured and unstructured data. Learn how Datavard Glue’s extraction capabilities help organizations enable a data-driven culture. Datavard Glue provides integration technology to build a highly scalable, available, secure, and flexible data lake powered by AWS.

Organizations are rapidly adopting SaaS solutions to better serve their end customers using specialized software, but using SaaS services can lock key business data in different “data islands” that are hard to integrate. AWS recently announced the extension of support for Zendesk as both source and destination in Amazon AppFlow. This expanded integration enables customers to transfer data bi-directionally between Zendesk and other AWS and SaaS services in just a few clicks.

We are excited to highlight 74 AWS Partners that received new designations in February for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Achieving “speed of thought” or instant analytics on large data sets is a key challenge for business intelligence platforms. Traditionally, data engineers would design and deliver an optimized, aggregated subset of the data to a data warehouse to drive the visualization. This can often take weeks of development and testing or incur significant infrastructure costs. Learn how Indexima uses machine learning and hyper indexes to automate this process and accelerate analytics by up to 1000x across a full data set on Amazon S3.

The massive scale and efficiencies offered by cloud data lakes are best served by a continuous replication mechanism from on-premises and cloud-based enterprise resource planning (ERP) applications. Learn how SAP ERP, Amazon Redshift, and HVR Change Data Capture (CDC) add up to more than the sum of the individual parts, and dive deep into HVR’s architecture and the unique value proposition for SAP customers building their data lakes with AWS.

With increasing data variety and volumes, it’s become increasingly necessary to ensure all of an organization’s workloads run in the most efficient manner to reduce overall turn-around time and TCO. Get an overview of the data and analytics platform ZS built to streamline and improve contracting analytics for a top life sciences company. Then, dive deep into the data architecture and learn how ZS evolved its data technology stack to get maximum performance.

We are excited to highlight 61 AWS Partners that received new designations in January for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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.

To receive the AWS Service Ready designation, AWS Partners must undergo rigorous technical validation and are assessed on the security, performance, and reliability of their AWS solutions. To help AWS Technology Partners better understand this process, we are releasing new versions of the AWS Service Ready Validation Checklists (VCL). These Validation Checklists outline for AWS Technology Partners the customer case study and technical criteria needed to achieve an AWS Service Ready designation.