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.

Corporate E-mail Address:
You forgot to provide an Email Address.
This email address doesn’t appear to be valid.
This email address is already registered. Please login.
You have exceeded the maximum character limit.
Please provide a Corporate E-mail Address.
- I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
Please check the box if you want to proceed.
- I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.
Please check the box if you want to proceed.

November 30, 2018 30 Nov'18
Amazon Timestream, QLDB aim to grab more DBMS users for AWS

Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.
November 19, 2018 19 Nov'18
A complete guide to AWS re:Invent 2018 news and analysis

AWS re:Invent 2018 is sure to generate a number of important updates for enterprise cloud users. Stay on top of the latest news and analysis with this complete conference guide.
November 14, 2018 14 Nov'18
AWS, Oracle trash talk spotlights cloud database migration

Amazon says its consumer division has dumped Oracle's database platform, and the company will offload most workloads by year's end. Will it inspire AWS customers to do the same?
October 31, 2018 31 Oct'18
AWS month in review: Amazon Lightsail, Lambda updates

Developers can access managed databases through Amazon Lightsail, run longer function executions and rely on a Lambda SLA. These were some of the notable updates to AWS in October -- a month that ...

Bring yourself up to speed with our introductory content

Amazon Redshift Spectrum

Amazon Redshift Spectrum is a feature within Amazon Web Services' Redshift data warehousing service that lets a data analyst conduct fast, complex analysis on objects stored on the AWS cloud. Continue Reading
Bring AI to the edge with AWS Greengrass ML Inference

Learn the basics of machine learning inference with AWS Greengrass and how it can help train models and increase data value with real-time insights. Continue Reading
Top AWS re:Invent 2018 sessions to pencil in for Vegas

Unsure which re:Invent 2018 sessions to attend? Check out this day-by-day guide for suggestions and options on a range of AWS topics, including migration, security and costs. Continue Reading

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

Compare AWS data lakes with S3 against HDFS

An S3 data lake streamlines the analysis of data that lives exclusively on AWS infrastructure but presents limitations for those who want to move beyond the Amazon ecosystem. Continue Reading
Explore Aurora Serverless capabilities for enterprise use

Users should explore the potential benefits and disadvantages of AWS' serverless database option before they jump in and focus on which environments the service fits best. Continue Reading
Expanded DynamoDB features might come up short for some

Expanded features for DynamoDB target tedious workarounds for availability and backups, but might only appeal to large enterprises with massive heaps of data. Continue Reading

Learn to apply best practices and optimize your operations.

Public snapshots pose significant Amazon EBS security risks

Exposed EBS snapshots can leave volumes open to public intrusion or manipulation. Manage your snapshot settings carefully to protect your EC2 data. Continue Reading
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

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