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Amazon database and analytics strategy News
June 29, 2018
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
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
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
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 ...
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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 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
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
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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
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'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
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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
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
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
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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
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
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