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Building Enterprise Solutions with MongoDB Training
Nivå: Intermediate
Snittbetyg:
4,72/5 Based on 47 Reviews
As table-based databases struggle to cope with an ever-growing variety of data, this MongoDB training course will show you how its document-oriented nature will allow you to quickly build highly scalable applications. You will gain the skills to develop, administer, secure, and scale MongoDB-based applications, and acquire low-cost, data-driven applications with MongoDB as the back-end database.
Nyckelfunktioner:
- After-course instructor coaching benefit
- Learning Tree end-of-course exam included
- After-course computing sandbox included
Du kommer lära dig att:
- Develop highly scalable and cost-efficient applications with MongoDB
- Build efficient MongoDB data models for enterprise-scale applications
- Enhance performance with indexing and sharding
- Manage consistency with write concern and read preference
- Process data and compute results with aggregation pipelines and MapReduce
Välj den utbildningsform som passar dig bäst
LIVE, LÄRARLEDD
Klassrum och självstudier
- 4-day instructor-led training course
- After-course instructor coaching benefit
- Learning Tree end-of-course exam included
FÖRETAGSINTERN UTBILDNING
Teamträning
- Använd denna eller någon annan utbildning i ditt företag
- Fullskalig programutveckling
- Levereras när, var och hur du vill
- Blandade utbildningsmodellerSkräddarsytt innehåll
- Coaching av ett expertteam
Anpassa kurs och innehåll efter teamets behov
Kontakta ossUtveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning
Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .
Klassrum och självstudier
Note: This course runs for 4 dagar
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11 - 14 feb 9:00 - 4:30 EST New York / Online (AnyWare) Boka Din Kursplats
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7 - 10 apr 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Boka Din Kursplats
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28 - 31 jul 9:00 - 4:30 EDT New York / Online (AnyWare) Boka Din Kursplats
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29 sep - 2 okt 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Boka Din Kursplats
Kurs med startgaranti
När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.MongoDB Course Information
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Recommended Experience
- Knowledge of databases and SQL
- Java programming
MongoDB Course Outline
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Setting the Stage
Recognising the need for NoSQL data stores
- Justifying non-relational data stores
- Listing the categories of NoSQL Data Stores
Focusing on MongoDB
- Defining the MongoDB architecture
- Reviewing the JSON standard
- Enumerating the MongoDB data types
Interacting with MongoDB
- Querying at the Command Line Interface
- Running Scripts
- Manipulating MongoDB data from Python and Java
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Installing MongoDB
Surveying Cluster Topology
- Creating a standalone mongod
- Achieving redundancy with replica sets
- Replicating data with the oplog
Dissecting MongoDB Storage Strategies
- Identifying storage engines
- Improving data safety with journaling
- Investigating record allocation strategies
Storing Large Files with GridFS
- Weighing the advantages and disadvantages of GridFS
- Leveraging the mongofiles utility tool
- Compressing data for economy of drive space
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Exploring the MongoDB Data and Query Model
Organising Data
- Storing data in Databases, collections and documents
- Inserting and updating Documents
- Running scripts from the Mongo Shell
Querying Documents
- Restricting find() with a query document
- Specifying keys for queries to return
- Constraining the number of results with limit and skip
Modelling Relationships
- Express relationships using references
- Embedding sub-documents
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Configuring Replication and Data Consistency
Configuring Read and Write Consistency
- Reading from primary and secondary nodes
- Setting the read preference level
- Selecting the Appropriate Write Concern
- Writing with a timeout
Customising Write Concern and Read Preference
- Applying tags to replicas
- Adding logical names to write concerns
- Reading from a tagged mongod
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Tuning Performance with Indexes
Improving access speed with indexes
- Investigating a query with the explain() function
- Getting statistics from explain()
- Choosing an index with the hint() function
Considering the cost and benefit of indexing
- Designing a better index
- Opting out of using an index
- Profiling to identify slow queries
Taking advantage of indexes
- Sorting and finding ranges with an index
- Guaranteeing uniqueness with indexes
- Skipping missing fields with a sparse index
Managing collections with special indexes
- Aging data out of a capped collection
- Searching for text fragments with $text
- Deleting documents automatically using time to live indexes
- Permitting queries by location
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Utilising the Aggregation Framework
Leveraging the different modes of the Aggregation Framework
- Invoking single-purpose aggregation functions
- Performing operations with the Aggregation Pipeline framework
- Executing MapReduce on MongoDB
Teamträning
MongoDB Training FAQs
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What is MongoDB?
MongoDB is a document-oriented database to allow developers to quickly build highly scalable applications.
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Is MongoDB a relational database?
MongoDB is not a relational database, it is a document-oriented database that stores a collection of data from individual documents rather than individual rows.
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Can I learn MongoDB online?
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.
Your Training Comes with a 100% Satisfaction Guarantee!*
- If you are not 100 % satisfied, you pay no tuition fee!
- No advance payment required for most products.
- Tuition fee can be paid later by invoice - OR - at the time of checkout by credit card.
*Partner-delivered courses may have different terms that apply. Ask for details.