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AWS data migration tactics
Moving data from an on-premises environment to the cloud can be tricky, but AWS provides several techniques to ease data migration. Read Now
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Migration is a challenge among hybrid clouds
While many enterprises look to take advantage of hybrid cloud or multicloud environments, moving data from one cloud to another is not always easy. Read Now
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How to get started in Amazon S3
Andreas and Michael Wittig, authors of 'Amazon Web Services in Action,' wrote about various base-level AWS cloud services, including Amazon S3. Here's a sneak peek at the book. Read Now
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Replicate AWS data across multiple sites
It's important to craft a disaster recovery strategy to protect data and workloads. Replicating data is a crucial step to ensure availability. Read Now
Editor's note
Storing data in the cloud has become more enticing to enterprises. Not only have prices gone up for on-premises data storage, but it can be a nightmare for IT teams to maintain the infrastructure needed to securely store growing volumes of structured and unstructured data.
AWS offers a variety of services to store, manage and analyze data. More importantly, AWS provides security and encryption options to protect data at rest and in transit. And each new product launch adds to the ever-expanding AWS data management portfolio.
IT teams need to keep pace with the twists and turns of the cloud giant's technology. While some enterprises still have concerns over data privacy and security in the cloud, AWS has made many attempts over the years to draw in those customers by assuaging their security fears while offering a more cost-effective option to on-premises hardware. In this essential guide, we explore different AWS data management services and options.
1Data encryption and security
AWS adheres to a shared responsibility security model. This means the cloud provider does what it can to secure its infrastructure and supply security tools, but customers must work to address application vulnerabilities. One way to secure data is through encryption. The AWS Key Management Service enables enterprises to manage the encryption keys or let AWS handle that process -- rendering data unreadable to anyone other than the administrator in both cases. Amazon Identity and Access Management (IAM) restricts access to files and resources, depending on roles set by cloud admins, which can further prevent data from falling into the wrong hands. Admins can establish roles with IAM and set policies with other services, such as protecting S3 buckets and using them to control encryption in motion. IT teams must evaluate the security needs of their businesses and customers and make sure AWS can accommodate those needs. AWS has a variety of compliance certifications, but customers with particularly sensitive data might choose to keep some or all of it on premises.
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Top ways to encrypt data in AWS
AWS features and services allow IT teams to render their data unreadable without the proper permissions and/or encryption keys. Read Now
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How AWS KMS manages key access
While third-party options exist, AWS Key Management Service brings native functionality to a necessary aspect of data protection. Read Now
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AWS bolsters Aurora to protect at rest
The end of the Safe Harbor agreement left questions about international data encryption. Find out how Amazon Aurora fits into the picture for protecting resources. Read Now
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Lock down Amazon S3 buckets
Amazon Simple Storage Service buckets are accessible from the Internet. Enterprises can avoid data intrusions by applying these bucket security measures. Read Now
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RDS updates raise some eyebrows
Amazon Relational Database Service can be an effective storage tool, but new features regarding snapshot sharing could leave data vulnerable. Read Now
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Prevent attacks with AWS Certificate Manager
The free AWS Certificate Manager automatically renews SSL certificates, which help prevent some forms of attacks. Read Now
2Big data analytics
The problem with data in an increasingly technology-driven world is that it can come in many formats and in large sizes. Yet, there's value in that data. And businesses increasingly seek to mine details from data -- no matter how cumbersome. AWS has cornered the public cloud market in part due to functionality between its services. APIs connect AWS products, allowing data to be processed with ease. Relying on the strengths of its network, Amazon has beefed up its big data analytics offerings. Internet of Things (IoT) is gaining market viability, but interoperability can be a difficult task for small businesses to operate on premises. AWS' IoT platform can help enterprises boil down real-world information into actionable data. In addition, AWS offers BI products to fit a range of needs. Amazon QuickSight visualizes data processed in the cloud, while Amazon Machine Learning handles complicated calculations to predict future end user behavior based on past days. Amazon Elastic MapReduce even offers a framework for the Java-based Hadoop, which processes large data sets. For data capture, Amazon Kinesis Firehose works in conjunction with S3 and Amazon Redshift, a managed data warehouse, to absorb that information to the cloud for processing.
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Harness sensor data with AWS IoT
AWS' IoT platform enables businesses of all sizes to take advantage of real-world data through the power of the AWS ecosystem. Read Now
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Redshift adds user-defined functions
Amazon Redshift offers numerous benefits in big data analytics, but customers were happy to see a long-awaited feature added to the data warehouse service. Read Now
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Third-party analytics tools help analyze data
AWS provides several services to help process data, but many cloud customers prefer to turn to the AWS Marketplace for options to visualize data. Read Now
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Enterprises run the numbers on data analytics projects
Surveys show big data analytics projects are on the rise, which puts AWS in a good position to take advantage of the demand. Read Now
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Third-party logging deciphers data jumble
AWS has a myriad of products, and each produces a wealth of data. Log analysis tools help AWS customers gather insight from their AWS usage. Read Now
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Predict trends and behavior with machine learning
With the release of AWS Machine Learning, customers can prepare data sets to run through algorithms, allowing admins to predict future end-user behavior. Read Now
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How do I create machine learning applications for AWS?
AWS Machine Learning offers powerful predictive capabilities and can help spot ongoing issues, such as fraudulent transactions and data center equipment failures. Read Now