Learn everything you need to know to administer a MongoDB installation in production. This course begins by assuming you have no experience with MongoDB, taking you through the basics of installation. Then you will learn about JSON and Mongo's extensive query capabilities through the Mongo shell. We will cover importing, and exporting data into Mongo. After that, we cover replication and fault tolerance. Then it is on to scaling out with MongoDB, including indexing, performance tuning, monitoring, and sharding. Finally, we cover backups and recovery. No prior experience with MongoDB is assumed for this course but a knowledge of administration of another database will be helpful.
NoSQL
Oct 17th 2017
Oct 17th 2017
Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the Node.js driver. In the course, you will build a blogging platform, backed by MongoDB.
Oct 17th 2017
Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the Java driver. In the course, you will build a blogging platform, backed by MongoDB.
Oct 17th 2017
Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the Python driver. We will also cover working in sharded and replicated environments. In the course, you will build a blogging platform, backed by MongoDB. A brief Python introduction is included in the course.
Sep 25th 2017
In this course, we will explore MongoDB, a very popular NoSQL database and Web Services concepts and integrate them both with Ruby on Rails. MongoDB is a used to handle documents with a pre-defined schema which will give the developers an ability to store, process and use data using it’s rich API. The modules will go in-depth from installation to CRUD operations, aggregation, indexing, GridFS and various other topics where we continuously integrate MongoDB with RailsRuby.
Sep 25th 2017
Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.
Sep 4th 2017
This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API.
Mar 21st 2017
This is an advanced course for operations staff and others interested in administering MongoDB deployments. It is a deeper dive into many of the topics of M102: MongoDB for DBAs and several additional subjects.
Self Paced
In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this! Students will learn how to gather and extract data from widely used data formats. They will learn how to assess the quality of data and explore best practices for data cleaning. We will also introduce students to MongoDB, covering the essentials of storing data and the MongoDB query language together with exploratory analysis using the MongoDB aggregation framework.
Jan 7th 2014
This course covers database design and the use of database management systems for applications. It includes extensive coverage of the relational model, relational algebra, and SQL. It also covers XML data including DTDs and XML Schema for validation, and the query and transformation languages XPath, XQuery, and XSLT. The course includes database design in UML, and relational design principles based on dependencies and normal forms.
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