iOS 13 and iPadOS Apps (2)

Following AWS Simple Storage Service (S3) best practices

Feb 21, 2019 7:45:00 PM

Amazon’s S3 (Simple Storage Service) is a valuable storage option for developers of all backgrounds and experiences, it’s straightforward to use, and has many benefits, including: the ability to store both large and small amounts of data at a time convenient to yourself, being a completely scalable and reliable infrastructure, and being a cost-effective choice.

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Topics: Amazon, AWS, Amazon-S3

Serverless applications and how to monitor them

Sep 6, 2018 11:00:00 PM

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Topics: AWS, aws solutions, AWS Lambda, Serverless applications

3 Major Announcements at the AWS Summit, NYC

Aug 31, 2017 11:30:00 PM

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Topics: AWS

Flume vs. Kafka vs. Kinesis - A Detailed Guide on Hadoop Ingestion Tools

Jul 31, 2017 11:27:00 PM

As the amount of data available for systems to analyze is increasing by the day, the need for newer faster ways to capture all this data in continuous streams is also arising. Apache Hadoop is possibly one of the most widely used frameworks for distributed storage and processing of Big Data data sets. And with the help of various ingestion tools for Hadoop, it is now possible to capture raw sensor data as binary streams.

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Topics: AWS, Big Data

Amazon DynamoDB vs MongoDB

Jun 3, 2017 11:00:00 PM

In the past few years, we have seen a huge change in trends in the space of databases. A new emerging trend has been the usage of NoSQL ("not only SQL"). NoSQL came into picture when developers realized the need for an agile delivery system which is easily able to process unstructured data. The system needed to be extremely dynamic and relational databases did not quite cut it. A relational database model may not be the best solution for all situations. An alternative, more "cloud-friendly" approach was to employ NoSQL instead. This is where Amazon DynamoDB and MongoDB come in handy.
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Topics: Amazon, AWS, NoSQL, MongoDB, DynamoDB

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