Category: Intermediate (200)

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.

Fragmented supply-chain management systems can impair an enterprise’s ability to make informed, timely decisions. Accenture’s Intelligent Revenue and Supply Chain (IRAS) platform integrates insights generated by machine learning models into an enterprise’s technical and business ecosystems. This post explains how Accenture’s IRAS solution is architected, how it can coexist with other ML forecasting models or statistical packages, and how you can consume its insights in an integrated way.

With the recent launch of Amazon EC2 M6g instances, the new instances powered by AWS Graviton2 Arm-based processors deliver up to 40 percent better price and performance over the x86-based current generation M5 instances. At Rapid7, an AWS Security Competency Partner, thousands of customers use InsightVM scan engine to assess their EC2 instances for vulnerabilities. Learn how to deploy the InsightVM scan engine in an AWS Graviton2-based environment.

Spark is a distributed computing framework that added new features like Pandas UDF by using PyArrow. You can leverage Spark for distributed and advanced machine learning model lifecycle capabilities to build massive-scale products with a bunch of models in production. Learn how Perion Network implemented a model lifecycle capability to distribute the training and testing stages with few lines of PySpark code. This capability improved the performance and accuracy of Perion’s ML models.

AWS Single Sign-On makes it easy for end users to sign into the AWS Console and access applications with a single set of credentials. Until now, customers had to sign in to the AWS Console to work with AWS resources, and they had to sign in separately to CloudHealth to analyze and manage their computing environment or the resources in their environment. Learn how to connect CloudHealth with AWS SSO using SAML 2.0, so your users have a single experience to access both the AWS Console and CloudHealth.

N2W Software (N2WS) offers backup and disaster recovery for anyone using AWS. It protects your environment against the inevitable by coping backups across AWS regions or AWS accounts—with the ability to easily restore when needed. Version 3.0 of N2WS Backup and Recovery includes a new feature known as Recovery Scenarios. It allows you to define different sequences of recovery for your protected AWS resources, and test them with a Dry Run.

With rapid advancements in machine learning techniques over the past decade, intelligent decision-making and prediction systems are poised to transform productivity and lead to significant economic gains. KNIME provides visual data science tools to help data science teams rapidly build and deploy data-driven solutions that integrate with AWS decision support tools and services. Learn about the barriers to adoption of AI and the ways in which the KNIME tools remove those barriers.

As larger and more complex workloads are deployed on AWS, multi-account solutions are an increasingly common architectural blueprint. Often referred to as cloud “landing zones,” these blueprints enable simple administrative boundaries. However, using multiple accounts increases the complexity of security tooling, access control and authorization, and cross-account networking. AWS Control Tower simplifies the process of setting up multi-account environments with predefined security baseline templates.

Migrating from an on-premises SAP environment to SAP S/4HANA on AWS can appear intimidating, particularly for organizations that have little experience with cloud infrastructure. There’s good reason for caution: shifting mission-critical workloads without proper planning can disrupt your business. Fortunately, a suite of powerful tools from AWS and Deloitte can help you complete a migration or greenfield deployment efficiently and with minimal disruption.

Mactores used a five-step approach to migrate, with zero downtime, a large manufacturing company from an Oracle on-premises data warehouse to Amazon Redshift. The result was lower total cost of ownership and triple the performance for dependent business processes and reports. The migration tripled the customer’s performance of reports, dashboards, and business processes, and lowered TCO by 30 percent. Data refresh rates dropped from 48 hours to three hours.