Amazon database and analytics strategy

Amazon Web Services provides companies with several database and analytics tools such as Amazon Kinesis, AWS Data Pipeline, Amazon RDS, Amazon DynamoDB and Amazon EMR on Hadoop. Amazon's database tools can help consumers create value through the use of data analytics for applications like log analysis, Web indexing, and data warehousing.

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June 29, 2018 29 Jun'18
VMware-AWS service bubbles into new markets

With the VMware-AWS partnership, some customers were either reluctant or unable to use earlier versions of the service. Now, with the passage of time and corresponding product maturity, customers ...
May 31, 2018 31 May'18
Bare-metal instances augment AWS' IaaS options

Infrastructure was AWS' focus in May, as the cloud provider made good on several of its promises with features that provide more diverse compute options -- including some that directly challenge ...
March 30, 2018 30 Mar'18
Extended duration for IAM roles appeases some, alarms others

Cloud security best practices and IT convenience don't always align, but as standards such as GDPR take hold and new vulnerabilities constantly emerge, maybe it's ok to loosen the reins from time ...
January 30, 2018 30 Jan'18
EC2 features aim at network, performance improvements

AWS users have a green light to rev the full bandwidth potential of a particular instance. AWS removed its 5 Gbps limit and improved performance for network connections to and from Elastic Compute ...

Bring yourself up to speed with our introductory content

When should data normalization occur in Amazon DynamoDB?

Not sure when to normalize data in Amazon DynamoDB? Follow these three examples to learn more about the normalization process and how it can play a role in this AWS database. Continue Reading
Amazon Neptune

Amazon Neptune is a managed service that enables a user to create and manage a graph database in the Amazon Web Services (AWS) public cloud. Continue Reading
Amazon Neptune arms analytics teams with graph databases

Turn to a graph database to put aside table joins for good. With Amazon Neptune, a developer can assess and query relationships between data sets. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

AWS IoT Analytics churns device data into insights

To tap into the business value of IoT data, organizations first need the right set of tools. Compare these AWS analytics services and the features they bring to the table. Continue Reading
BigQuery vs. Redshift debate centers around cost, management

Google BigQuery and Amazon Redshift remain two popular options for a data warehouse in the cloud. But, to choose between them, enterprises need to factor in some distinct differences. Continue Reading
Amazon Transcribe opens door for speech recognition apps

Amazon's audio transcription service, Transcribe, has caught developers' eyes for a number of reasons, but make sure its early limitations don't land you in trouble. Continue Reading

Learn to apply best practices and optimize your operations.

Perform an Amazon RDS failover with minimal downtime

Walk through this example of an RDS failover process using the Amazon Aurora engine to minimize production downtime and maintain performance in your cloud environment. Continue Reading
Try this data science experiment for deep learning insights

Deep learning professionals require a specific set of skills and tools. Follow this simple example of a data science project to learn more about the technology and related careers. Continue Reading
Dive into AWS data lakes for analytics projects

Data lakes on AWS can provide a treasure trove of information -- if you can work past complexity and management issues. Test the water with these cloud services. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

AWS termination protection acts as resource safety belt

In the push to get applications to production quickly, mistakes can happen. But you can avoid potentially disastrous AWS resource deletion through these features and strategies. Continue Reading
Improve query performance, cut costs with Amazon Athena

Amazon Athena can query more data formats than its competitor Google BigQuery, but developers must choose easy-to-process formats to enjoy Athena's benefits. Continue Reading
Work through AWS serverless architecture issues and caveats

As more serverless configuration and management tools emerge, developers still struggle to deploy serverless architectures. Serverless expert Peter Sbarski shares insights on Lambda and its future. Continue Reading