Published By: Turbonomic
Published Date: Nov 27, 2018
Want to learn how to design and deploy infrastructure-as-a-service (IaaS) solutions in the cloud using Amazon Web Services? This ebook will take you through practical examples, design patterns, and tips to help you confidently build a working IaaS solution.
Download to find out:
The key components of the AWS public cloud platform
How to launch your compute and storage resources on the AWS Virtual Private Cloud (VPC) platform
How to add compute resources to your VPC with AWS Elastic Compute Cloud (EC2)
The types of storage in AWS Elastic Block Storage (EBS) with cost, performance impact, and examples of operational tasks
By the end of this ebook, you’ll master AWS core components and how to design for resiliency. You’ll even be able to launch and manage your cloud solution using either the AWS command-line interface or the AWS web console.
Under GDPR, we all have new obligations to improve the security and privacy of personal data at our organisations. With the new Amazon Web Services eBook, GDPR: The Basics, you’ll gain a fundamental understanding of this new EU regulation.
In this eBook, you will learn about:
• How to view GDPR as an opportunity, and how you can build on it
• Article 32 – a core part of the security principle
• Data subject rights
• Key players and responsibilities
• And much more
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making.
Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would
normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
This e-book aims to provide you with expert tips on how to
use Amazon Redshift Spectrum to increase performance
and potentially reduce the cost of your queries.
Businesses are generating staggering amounts of data—and extracting the most value from this information is paramount. Amazon Redshift provides organizations what they’re looking for: Affordability and flexibility combined with a powerful feature set.
Download our solution overview covering some of the best practices on loading data and making the most of Amazon Redshift, including:
• Loading data for faster results
• Querying data for gaining actionable insights
• Creating a schema to forgo complicated queries, saving time
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale.
Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process.
With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
"Riteway Sales and Marketing, who helps many Southeastern supermarkets execute marketing strategies, needed an intuitive solution to visualize data in multiple ways, including geographic coding that could map gathered data to store locations.
TIBCO® Spotfire® for Amazon Web Services cloud met their requirements and exceeded them. After deploying this solution, Riteway’s Director of Insights and Marketing, Elisa Westlund, claimed that their time-to-insight rose to 93% faster than it was before using it. When analyzing a product category, they found that what used to take a week for their team to accomplish could now be completed in only hours.
Download this case study to learn more about TIBCO Spotfire’s benefits, including:
• Riteway’s claim of time-to-insight that rose 93% faster than before using TIBCO Spotfire
• A complete return on investment in just one year
• 100% adoption among their business users, due to TIBCO Spotfire’s ease of use"
"Getting the right analytics, quickly and easily, is important to help grow your organization. But analytics isn’t just about collecting and exploring data. The truly important step resides in converting this data into actionable insights. Acquiring these insights requires some planning ahead.
While ease of deployment, time-to-insight, and cost are all important, there are several more assessments you need to take before choosing the right solution.
Learn the 8 must-have features to look for in data visualization. Download this white paper to learn how TIBCO® Spotfire® in AWS Marketplace assist in providing you advanced, cost-effective analytics."
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease.
Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed.
Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn:
• How to generate relevant, actionable insights from any data, anywhere
• Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud
• How to
Consumers worldwide continue to adopt and use technology in their shopping experience.
Faced with rising customer expectations and increasing competitive pressures, retailers
now are prioritizing in-store innovation. Many retailers have adopted multichannel
implementations, in which mobile, web, and in-store shopping are enabled but not delivered
consistently to the customer. The next step in this evolution is an omnichannel strategy, now
being deployed by some retailers, which presents a consistent shopping experience across
mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end
infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty
programs, personalized recommendations, inventory management, etc.) to improve many
aspects of store and enterprise operations.
An omnichannel strategy relies on several core and supporting technologies. The key factors in
evaluating any omnichannel-enabling solution includ
Published By: MuleSoft
Published Date: Nov 27, 2018
IT teams across industries face growing pressure to deliver projects faster while reducing costs. All too often, dated legacy systems hinder IT’s ability to accomplish either of these objectives. Legacy systems can also slow the speed at which IT can deliver new projects to support the business. For these reasons, legacy modernization has emerged as a key strategic imperative. But where should organizations start? One large global bank provides a detailed blueprint for how large enterprises can do so.
Read this legacy modernization blueprint to learn:
The bank’s legacy modernization strategy, and how they used Anypoint Platform
Best practices for modernizing legacy SOA web services
How to think about re-architecting monolithic applications into microservices
The role that APIs play in driving an effective legacy modernization strategy
In this webinar, you’ll learn how Reltio and IQVIA provide holistic data management solutions for traditional pharma, as well as for emerging biotech and consumer health companies, on Amazon Web Services (AWS).
In this webinar, you will learn how Allergan used Druva and AWS during the acquisition of ZELTIQ Aesthetics. You will hear how Allergan protected against accidental and purposeful data loss, and how backup data can be used for eDiscovery and forensic analysis.
In this webinar, you’ll learn how a major Healthcare organization is using integrated, reliable, and secure cloud-based solutions from Commvault and Amazon Web Services (AWS) to help address significant data growth while reducing infrastructure costs.
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy.
Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
Watch this webinar to learn how Tr?v Insurance Solutions, an insurance agency licensed to sell on-demand property and casualty insurance products, adopted DgSecure on Amazon Web Services (AWS) to anonymize production data to help comply with GDPR and other data privacy regulations. The solution helps Tr?v meet privacy standards while enabling its analytics teams to use data to better serve its clients.
Watch this webinar to hear from AWS data governance experts and the leadership teams at Okta and Etleap. Learn how your organization can create unified, compliant, and analyst-friendly data repositories on AWS.
Watch this webinar to discover how AbeBooks simplified their ETL process with Matillion, loading data directly into Amazon Redshift, enhancing business intelligence (BI) performance, and enabling business users to perform jobs on their own.
Watch this webinar to understand how FINRA leverages Splunk with a variety of AWS services such as Amazon Kinesis Data Firehose and AWS Lambda as the data analytics destination to gain real-time insights for powerful visualizations, comprehensive reporting and meaningful alerts.
While the shift from disk to digital offers tremendous potential opportunities, it also presents a host
of new challenges for gaming companies. As the online channel grows increasingly complex and the pace
of innovation accelerates, many companies struggle to keep up. Not only are there websites and storefronts
to manage, but also real-time gaming servers, large software downloads, and live-streamed competitions and
events. Games are transforming from fixed, boxed products to dynamic, ongoing services – with frequently
updated content, in-game micro-transactions, virtual goods and social interactions. Mobile adds another
dimension to the trend, as consumers increasingly look to play on smart phones and tablets – or on multiple
screens across devices.
To successfully navigate this complex and changing landscape, gaming companies need an agile,
high- performance infrastructure that allows them to turn the Internet into a reliable and effective
online distribution channel. This requires f
The ways in which the Internet supports our everyday lives have become richer, more engaging, and more mobile. This innovation is driven by the visionaries, designers, developers, and managers of the web experiences that users consume every day. By exploring new ways to solve challenges and improve products and services that enrich our lives, developers and business owners have stretched the Internet to support use cases for which it was never designed. In order to succeed, modern web experiences must seem simple to end-users, even though most ultimately require complex design and technology to deliver.
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