Architecting Schemaless Scalable NoSQL Databases Using Google Datastore

This course is about Datastore, a schemaless, serverless NoSQL service that fills a specific niche on the GCP. Datastore offers fast lookups virtually independent of the dataset size and is optimized for hierarchical queries on document data.
Course info
Level
Beginner
Updated
Jan 10, 2019
Duration
1h 48m
Table of contents
Description
Course info
Level
Beginner
Updated
Jan 10, 2019
Duration
1h 48m
Description

A suite of big data technologies is considered incomplete unless it includes a solution optimized for document-oriented data and hierarchical queries, and that can provide the blazingly fast lookup that web serving applications need to perform on such data. In this course, Architecting Schemaless Scalable NoSQL Databases Using Google Datastore, you will gain the ability to identify situations when Datastore is right for you, and query it both interactively and programmatically. First, you will learn exactly how Datastore contrasts with other GCP technologies such as BigQuery, BigTable and Firestore. Datastore is all about fast reads; Datastore only supports queries whose runtime depends only the size of the result set, and not on the size of the total data set. This is a remarkable guarantee, and it is achieved via a combination of heavy usage of indices, and of constraints on the types of queries that are supported. Next, you will discover Datastore’s unique data model, which users often find hard to navigate. Datastore organizes documents into categories called kinds; each individual document is called an entity and belongs to a kind. Finally, you will explore how to perform administrative and backup operations and work with Datastore pro-grammatically. When you’re finished with this course, you will have the skills and knowledge of Google Datastore needed to design and implement a storage solution optimized for fast querying of hierarchical, document-oriented data.

About the author
About the author

An engineer and tinkerer, Vitthal has worked at Google, Credit Suisse, and Flipkart and studied at Stanford and INSEAD. He has worn many hats, each of which has involved writing code and building models. He is passionately devoted to his hobby of laughing at his own jokes.

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