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.
Top Stories
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Tip
15 Feb 2022
Use Amazon CloudWatch metrics to monitor Aurora
Application owners need to know the vital metrics that affect database health. CloudWatch and DevOps Guru monitor Amazon Aurora performance to give users valuable insights. Continue Reading
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Feature
08 Nov 2021
QuickSight Q a potential winner for Amazon BI platform
Since its introduction in 2016, Amazon QuickSight has offered solid but not top-of-market BI capabilities. The addition of a new natural language query tool could change that. Continue Reading
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News
14 Jan 2021
Assent Compliance automates text analytics with AWS
With more than 20,000 documents to review each month, Assent Compliance, a supply chain data management vendor, turned to AWS to automate its text analysis operations. Continue Reading
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News
03 Dec 2020
Enabled by AWS, Vyaire ramps up production of ventilators
When demand for ventilators increased exponentially due to COVID-19, a developer of respirators turned to analytics tools from AWS to help determine how to meet the sudden need. Continue Reading
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News
02 Dec 2020
Price differentiates Amazon QuickSight, but capabilities lag
New embedded analytics capabilities highlight the latest additions to the QuickSight platform, but despite improving capabilities, its low cost remains its key attraction. Continue Reading
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Tip
16 Dec 2019
Set up a data lake on AWS with Lake Formation
Modern businesses must organize an unprecedent amount of information. Find out how AWS Lake Formation can help your business manage and analyze high volumes of data. Continue Reading
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News
04 Dec 2019
Amazon cloud database and data analytics expand
AWS expands its Redshift data warehouse capabilities including managed storage and query acceleration at the re:Invent 2019 conference, alongside a new managed Cassandra database service. Continue Reading
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Tip
14 Nov 2019
AWS data lake and data warehouse options for the cloud
Get ready for data analytics in the cloud. Learn the best ways to handle your data on AWS. Distinguish between data lakes and data warehouse services on AWS and how they work. Continue Reading
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Tip
24 Oct 2019
How AWS VPC Traffic Mirroring works
Solve cloud network traffic issues with VPC Traffic Mirroring. Breakdown how traffic mirroring works and how it can boost monitoring and security practices in your AWS environment. Continue Reading
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Feature
15 Aug 2019
What you need to know about Cloudera vs. AWS for big data
Enterprises in need of a big data platform must run some analytics of their own to choose a vendor. AWS' integration between services can't be beat, but is Cloudera a better choice? Continue Reading
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Tip
13 May 2019
Set and track backup activity with the AWS Backup service
AWS Backup service configures, tracks and manages backups across multiple data storage services. It can save time and resources, but still has limitations. Continue Reading
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Tip
26 Apr 2019
DocumentDB vs. DynamoDB: Compare AWS NoSQL databases
Infrastructure and cost management will be key factors if you have to decide between DocumentDB and DynamoDB. Learn how the two AWS document database services differ. Continue Reading
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Tip
19 Apr 2019
Oracle vs. AWS: Compare cloud databases, PaaS and SaaS
Oracle and AWS gear their clouds toward different users, so it's important to know where your organization falls. See which database, PaaS and SaaS options match your requirements. Continue Reading
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Tip
15 Mar 2019
Accelerate data migration with AWS DataSync
Dig into the details of AWS DataSync, such as deployment options and availability. Compare it to similar AWS services and see how it can fit into an organization's cloud strategy. Continue Reading