MongoDB is an open-source document database first released in 2009. It was enormously influential in kicking off the NoSQL revolution due to...| DynamoDB, explained.
In this lesson, we'll learn about updating and deleting Items. This is the final lesson on Single-Item Actions. The next chapter is on Multi...| DynamoDB, explained.
In this lesson, we will cover using expressions with DynamoDB. Expressions are an integral part of using DynamoDB, and they are used in a...| DynamoDB, explained.
Articles: SQL, NoSQL, and Scale: How DynamoDB scales where relational databases don't - This is a post of mine explaining the core...| DynamoDB, explained.
Secondary indexes are a critical part of modeling your data in DynamoDB. With a secondary index, you can add additional access patterns to...| DynamoDB, explained.
In the previous chapter, we worked with a single Item at a time -- inserting, retrieving, updating, and deleting. In this chapter, we're...| DynamoDB, explained.
In previous sections, we've covered key expressions, condition expressions, projection expressions, and update expressions. This lesson...| DynamoDB, explained.
In this lesson, we'll talk about using Scans with DynamoDB. The Scan call is the bluntest instrument in the DynamoDB toolset. By way of...| DynamoDB, explained.
Querying is a very powerful operation in DynamoDB. It allows you to select multiple Items that have the same partition ("HASH") key but...| DynamoDB, explained.
An item is the core unit of data in DynamoDB. It is comparable to a row in a relational database, a document in MongoDB, or a simple...| DynamoDB, explained.
Items are the key building block in DynamoDB. In this lesson, we're going to learn the basics of inserting and retrieving items with...| DynamoDB, explained.
Background on DynamoDB, the NoSQL database provided by AWS| www.dynamodbguide.com
Up to this point, most read operations have used a table's primary key directly, either through the GetItem call or the Query call...| DynamoDB, explained.
In this example, we'll show how to model hierarchical data using DynamoDB. We'll insert a real dataset of 25,000 Starbucks locations into...| DynamoDB, explained.
Coming soon!| DynamoDB, explained.
In this example, we'll learn about global secondary indexes . Just like the last lesson, we'll cover the basics first before diving into an...| DynamoDB, explained.
In the previous lesson , we learned some basics about secondary indexes. In this lesson, we'll dive deeper into local secondary indexes...| DynamoDB, explained.
This chapter includes a number of case studies, each exploring a way to model data in DynamoDB for a particular scenario. Sometimes, seeing...| DynamoDB, explained.
Coming soon!| DynamoDB, explained.
Coming soon!| DynamoDB, explained.
Coming soon!| DynamoDB, explained.
Coming soon!| DynamoDB, explained.
Coming soon!| DynamoDB, explained.
In many of the subsequent lessons, we'll be directly interacting with the AWS DynamoDB APIs. To do this, we'll need to set up our...| DynamoDB, explained.
In 2004, Amazon.com was growing rapidly and was starting to hit the upper scaling limits of its Oracle database. It started to consider...| DynamoDB, explained.
Key Concepts of AWS DynamoDB, including tables, items, attributes, primary keys, secondary indexes, and read and write capacity.| www.dynamodbguide.com