From large enterprises to emerging start-ups, more databases and analytics solutions are built on AWS than anywhere else.
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Dive deeper with these resources to help you develop effective data, databases, and analytics strategies.
An Introduction to Cloud Databases: A guide for administrators
The rush to the cloud is often measured in pure business terms— and its growing popularity is widely recognized. For instance, a recent Gartner report finds that databases are growing at a rate of 68% in the cloud, whereas there is little on- premises growth outside of price increases and what they call “forced upgrades.”
This e-book from O'Reilly Media and AWS provides a concise overview of what it takes to deploy databases in the cloud.
Read this e-book to learn more about:
- Pros and cons of database options
- Key considerations for successful migration
- How DBA roles change once databases migrate to the cloud
Enter the Purpose-Built Database Era: Finding the right database type for the right job
Data is a strategic asset for every organization. Today’s applications need databases that can store terabytes to petabytes of new types of data, provide access to that data with millisecond latency, process millions of requests per second, and scale to support millions of users anywhere in the world.
Read this AWS e-book to learn how to effectively use purpose-built databases to achieve your business goals faster and more efficiently.
Read this e-book to learn more about:
- Strengths, challenges, use cases of each database
- Which database to use and when
- How to achieve scalability, availability, and performance
Harness the power of data
The key fact is that every organization has a growing data problem. First reactions often lead companies to believe that these issues are related to business intelligence processes and tools. However, the real hurdle is the inability to simply assess the data that organizations already have.
This e-book goes into how a modern analytics platform can open a world of opportunities to help your strategic and IT teams harness the power of data.
Read this e-book to learn more about:
- How a modern analytics platform helps
- How leading companies leverage AWS to harness the power of data
- Five steps to create perpetual business momentum with your data
Creating a Modern Analytics Architecture
We hear from organizations all the time that they are looking to extract more value from their data but struggle to capture, store, and analyze all the data generated by today’s modern and digital businesses.
In today’s competitive world, data and analytics are indispensable. However, old-school models of data management lead to silos, dark data, and poor analytics.
Read this AWS e-book to explore the optimal data storage and how to create a modern analytics pipeline.
Read this e-book to learn more about:
- Key insights on creating modern analytics architectures
- Barriers and challenges to modernization
- Pros and cons of integrating centralized data lake
The data-driven enterprise
There is a lot of talk these days about the data-driven enterprise and the need to become one. But what exactly does it take to become data-driven? And why is it important in today’s digital environment? What practical steps can an enterprise take to make data fundamental to its mindset and practice? And what is the connection between data and that other priority of the digital age— business and technical agility?
Read this e-book to learn the practical steps of how to maximize the value of organizational data and ultimately create a powerful and data-driven enterprise.
Read this e-book to learn more about:
- Path to creating a data-driven enterprise
- Steps to unlock and maximize the value of data
- How to use data to gain agility and make data more valuable
Customers are using AWS to lower costs, become more agile, and innovate faster.
Kayo Sports built a one-customer-view platform, using AWS data lake and real-time streaming analytics services, to meet its real-time needs from 125 different sources.
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Leveraging AWS, Qlue reduces time to market by 50% and scales seamlessly while processing large volumes of real-time data.
By moving all its services to AWS, Ashok Leyland achieves huge cost savings, 300% faster data processing, and 40% uplift in KPI computation.
By building a data pipeline on AWS, Kmong gains deeper customer insights that led to 30% increase in conversion and 40% decrease in churn.
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Amazon moved 50PB of data and 5,000 databases to AWS, cutting database operating costs by 50%, and lowered latency of most critical services by 40%.
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Leveraging AWS managed services such as Amazon RDS, and Amazon S3, Canva is able to scale to 15 million active global users.
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AXA built a ‘Customer Sentiment Analysis Tool’ that generates up-to-the-minute customer information to ensure customer service is informed and proactive.
Madura Microfinance uses Amazon Redshift to quickly and easily integrate new data sources, reduce time to insights, and scale quickly at 50% year-on-year at half the cost.
By using AWS managed services such as Amazon EMR, Joonggonara is able to launch new services 4 times faster, and improve search and recommendations for users.
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Nielsen built a data lake capable of storing 30PB of data in Amazon S3. This allowed Nielsen to grow from measuring 40,000 households daily to more than 30 million households daily.
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Using Amazon Redshift, SiteMinder develops a functioning BI team in months and has been able to scale quickly and innovate with new technologies like machine learning.
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By running its Data Storytelling Platform on AWS, Nugit is able to automate and process high volumes of data, and achieve 62% higher B2B engagement and 4.75/5 rating for its client.
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Using Amazon RDS, Amazon S3 data lake, and Amazon EMR, Yulu improves service efficiency by 35% and enjoys faster time-to-market, reduced risk, and cost savings.
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Epic Games uses AWS to drive real-time, data driven decisions that continuously improve gaming for over 10 million concurrent players, and 250+ million players globally.
Nasdaq moved its entire data ingest process to AWS, and chose Amazon Redshift Spectrum to run queries faster. Nasdaq achieves performance gains as high as 90%.
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Deputy uses Amazon Redshift and analytics services to store, process, analyze, and use for machine learning capabilities. Born on the AWS cloud in 2009, Deputy is now scaling at 100% year on year.
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To simplify its creative processes and make design smarter, faster, and easier for users, 123RF.com uses AWS for its data pipeline processing to support 10 million searches per month.
To drive quality customer experience, Jubilant FoodWorks uses AWS data lake to power near real-time insights for more than 1250 restaurants.
Using Amazon S3 data lake and AWS analytics services, Manorama Online processes up to 1 million events in a minute, increasing conversion by 13%.
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GE Power uses data analytics on AWS to help power plant customers save millions of dollars, stream 500,000 data records per second, and scale to support the ingestion of 20 billion sensor-data tags.
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