Tag: HAQM S3

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.

Deep learning is inspired by the human brain and once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial neural network learns to detect more and more types of cyber threats, its prediction capabilities become instinctive. As a result, malware both known and new can be predicted and prevented in zero-time. Deep Instinct’s predictive threat prevention platform can be applied against known or unknown threats, whether it be a file or fileless attack.

One of the costliest aspects of any disaster recovery (DR) implementation is the price associated with keeping resources on-demand at the target end. VMware Cloud on AWS provides the enterprise capabilities of VMware’s SDDC, including compute, storage, and networking, delivered as a service on AWS. Within hours, an SDDC can be ready to start deploying workloads into, and this is where leveraging VMware Cloud on AWS and Veeam Cloud Tier for on-demand disaster recovery is possible.

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 HAQM 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!

Successful data lake implementations can serve a corporation well for years. Accenture, an APN Premier Consulting Partner, recently had an engagement with a Fortune 500 company that wanted to optimize its AWS data lake implementation. As part of the engagement, Accenture moved the customer to better-suited services and developed metrics to closely monitor the health of its overall environment in the cloud.

Data and analytics success relies on providing analysts and data end users with quick, easy access to accurate, quality data. Enterprises need a high performing and cost-efficient data architecture that supports demand for data access, while providing the data governance and management capabilities required by IT. Data management excellence, which is best achieved via a data lake on AWS, captures and makes quality data available to analysts in a fast and cost-effective way.

ISVs servicing the insurance industry can take advantage of AWS infrastructure and services to architect solutions that meet these needs, without requiring large up-front capital expenditures. Insurity ClaimsXPress is a claims management system built on AWS that provides a redundant, secure, multi-region architecture. In this post, we will outline how Insurity has architected their ClaimsXPress solution on AWS to deliver an enterprise-grade SaaS solution for the commercial insurance market.

Data management architectures have evolved drastically from the traditional data warehousing model, to today’s more flexible systems that use pay-as-you-go cloud computing models for big data workloads. Learn how AWS services like HAQM EMR can be used with Bryte Systems to deploy an HAQM S3 data lake in one day. We’ll also detail how AWS and the BryteFlow solution can automate modern data architecture to significantly accelerate delivery and business insights at scale.

It can be overwhelming for organizations to keep pace with the amount of data being generated by machines every day. There’s a great deal of meaningful information that can be extracted from data, but companies need software vendors to develop tools that help. In this post, learn about Splunk SmartStore and how it helps customers to reduce storage cost in a Splunk deployment on AWS. Many customers are using SmartStore to reduce the size of HAQM EBS volumes and moving data to HAQM S3.

Being able to access files via standard file protocols from one or more locations is important to many organizations. With Nasuni, all data is stored on HAQM S3, enabling customers to have access to their data anywhere over standard file protocols using many of the NAS features they’re used to at local performance, without having to maintain full replicas of the data in each location. Nasuni also has a control plane running on AWS that enables functionality such as global file locking.