Name: Learning MongoDB
Brand: Packt Publishing
Price: 15.00 USD
Availability: OutOfStock

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<div style="padding: 5px; background: lightyellow; border: yellow 1px solid; text-align: center;">Please check all system requirements before purchasing. Check your computer compatibility with Windows 11 <em><a href="https://www.microsoft.com/en-us/windows/windows-11-specifications?r=1" target="_blank" rel="noopener">here</a> </em>
<p><strong><em>This version is designed for PCs that need a new license for Windows and meet the minimum system requirements for Windows 11. If your PC is running Windows 10 and you are unable to use Windows Update to install the free upgrade to Windows 11, you will not be able to install this version of Windows 11.</em></strong></p>
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<div style="position: relative; color: #aaa;"><strong><span style="font-style: italic; color: #000;">4.0/5 rating on PC Magazine: </span><span style="color: #f3a271;">★ ★ ★ ★</span> <span style="position: absolute; height: 100%; width: 4.0px; color: #f3a271; overflow: hidden;">★</span> ★</strong></div>
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Learning MongoDB: A Comprehensive Guide to Using MongoDB for Fast, Fault Tolerant Management of Big Data

Learning MongoDB

A Comprehensive Guide to Using MongoDB for Fast, Fault Tolerant Management of Big Data

Packt Publishing

Online Courses

Development

Businesses today have access to more data than ever before, and a key challenge is ensuring that data can be easily accessed and used efficiently. MongoDB makes it possible to store and process large sets of data in a ways that drive up business value. Learning MongoDB will give you the flexibility of unstructured storage, combined with robust querying and post processing functionality, making you an asset to enterprise Big Data needs.
<br><br>
<ul><li>Access 64 lectures & 40 hours of content 24/7
<li>Master data management, queries, post processing, & essential enterprise redundancy requirements
<li>Explore advanced data analysis using both MapReduce & the MongoDB aggregation framework
<li>Delve into SSL security & programmatic access using various languages
<li>Learn about MongoDB's built-in redundancy & scale features, replica sets, & sharding</ul>

Description

Daniel Watrous is a 15-year veteran of designing web-enabled software. His focus on data store technologies spans relational databases, caching systems, and contemporary NoSQL stores. For the last six years, he has designed and deployed enterprise-scale MongoDB solutions in semiconductor manufacturing and information technology companies. He holds a degree in electrical engineering from the University of Utah, focusing on semiconductor physics and optoelectronics. He also completed an MBA from the Northwest Nazarene University. In his current position as senior cloud architect with Hewlett Packard, he focuses on highly scalable cloud-native software systems.

Instructor

<p>Details & Requirements</p>
 
<ul><li>Length of time users can access this course: lifetime
<li>Access options: web streaming, mobile streaming
<li>Certification of completion included
<li>Redemption deadline: redeem your code within 30 days of purchase
<li>Experience level required: all levels</ul>

<p>Compatibility</p><ul><li>Internet required</ul>

Learning MongoDB

A Comprehensive Guide to Using MongoDB for Fast, Fault Tolerant Management of Big Data

Terms