Torrent Contents Size: 36.77 GB
Big Data Specialization
|
|
.pad
|
|
|
TutsNode.net.txt
|
TXT
|
63 B
|
|
|
[TGx]Downloaded from torrentgalaxy.to .txt
|
TXT
|
585 B
|
|
|
[TutsNode.net] - Big Data Specialization
|
|
big-data-graph-analytics
|
|
01_welcome-to-graph-analytics
|
|
|
02_introduction-to-graphs
|
|
01_lesson-1-what-is-a-graph
|
|
|
02_big-data-graphs-in-the-real-world
|
|
|
03_check-your-knowledge-introduction-to-graphs
|
|
|
|
03_graph-analytics
|
|
01_big-data-and-graph-analytics
|
|
|
02_path-analytics
|
|
|
03_connectivity-analytics
|
|
|
04_community-analytics
|
|
|
05_centrality-analytics
|
|
|
06_graph-analytics-optional-lectures
|
|
|
|
04_graph-analytics-techniques
|
|
01_graph-analytics-with-neo4j
|
|
|
02_basic-querying-path-analysis-and-centrality-analysis
|
|
|
03_check-your-knowledge
|
|
|
04_supplementary-resources-to-support-this-module
|
|
|
|
05_computing-platforms-for-graph-analytics
|
|
01_programming-model-for-graphs
|
|
|
02_giraph-and-graphx-programming-model-details
|
|
|
03_examples-of-analytics-using-graphx
|
|
|
|
|
big-data-integration-processing
|
|
01_welcome-to-big-data-integration-and-processing
|
|
01_why-big-data-integration-and-processing
|
|
|
02_hands-on-setting-up-your-software-environment
|
|
|
|
02_retrieving-big-data-part-1
|
|
01_querying-data-part-1
|
|
|
02_hands-on
|
|
|
|
03_retrieving-big-data-part-2
|
|
01_querying-data-part-2
|
|
|
02_hands-on
|
|
|
|
04_big-data-integration
|
|
01_information-integration
|
|
|
02_industry-examples-for-big-data-integration-and-processing
|
|
|
03_hands-on-big-data-management-and-processing-using-splunk
|
|
|
|
05_processing-big-data
|
|
01_big-data-pipelines-and-high-level-operations-for-big-data-processing
|
|
|
02_big-data-processing-tools-and-systems
|
|
|
03_hands-on-lets-try-spark
|
|
|
|
06_big-data-analytics-using-spark
|
|
01_programming-in-spark
|
|
|
02_main-modules-in-the-spark-ecosystem
|
|
|
03_hands-on-data-processing-in-spark
|
|
|
|
07_learn-by-doing-putting-mongodb-and-spark-to-work
|
|
01_assignment-querying-and-exporting-from-mongodb
|
|
|
02_assignment-analysis-using-spark
|
|
|
|
|
big-data-introduction
|
|
01_welcome
|
|
01_getting-to-know-us
|
|
|
02_getting-to-know-you
|
|
|
|
02_big-data-why-and-where
|
|
01_why-big-data
|
|
|
02_big-data-where-does-it-come-from
|
|
|
03_check-your-knowledge
|
|
|
04_supplementary-resources-slides
|
|
|
|
03_characteristics-of-big-data-and-dimensions-of-scalability
|
|
01_characteristics-of-big-data
|
|
|
02_check-your-knowledge
|
|
|
03_supplementary-resources-slides
|
|
|
|
04_data-science-getting-value-out-of-big-data
|
|
01_defining-the-question
|
|
|
02_the-process-of-data-analysis
|
|
|
03_check-your-knowledge
|
|
|
04_supplementary-resources-slides
|
|
|
|
05_foundations-for-big-data-systems-and-programming
|
|
01_basic-scalable-computing-concepts
|
|
|
02_check-your-knowledge
|
|
|
03_supplementary-resources-slides
|
|
|
|
06_systems-getting-started-with-hadoop
|
|
01_getting-started-with-hadoop
|
|
|
02_check-your-knowledge
|
|
|
03_hands-on-downloading-and-installing-hadoop
|
|
|
04_hands-on-running-your-first-application-on-hadoop
|
|
|
05_hands-on-check-your-knowledge
|
|
|
06_hands-on-optional-materials
|
|
|
|
|
big-data-machine-learning
|
|
01_welcome
|
|
01_machine-learning-with-big-data
|
|
|
|
02_introduction-to-machine-learning-with-big-data
|
|
01_machine-learning-overview-and-applications
|
|
|
02_machine-learning-process
|
|
|
03_scalability-and-tools
|
|
|
04_hands-on-setting-up-your-software-environment
|
|
|
|
03_data-exploration
|
|
01_data-exploration
|
|
|
02_hands-on-activities-for-data-exploration
|
|
|
|
04_data-preparation
|
|
01_data-preparation-for-machine-learning
|
|
|
02_hands-on
|
|
|
|
05_classification
|
|
01_what-is-classification
|
|
|
02_classification-algorithms
|
|
|
03_hands-on
|
|
|
|
06_evaluation-of-machine-learning-models
|
|
01_overfitting-what-is-it-and-how-would-you-prevent-it
|
|
|
02_model-evaluation-metrics-and-methods
|
|
|
03_hands-on
|
|
|
|
07_regression-cluster-analysis-and-association-analysis
|
|
01_regression
|
|
|
02_cluster-analysis
|
|
|
03_association-analysis
|
|
|
04_hands-on
|
|
|
|
|
big-data-management
|
|
01_introduction-to-big-data-modeling-and-management
|
|
01_what-is-in-this-course
|
|
|
02_why-big-data-modeling-and-management
|
|
|
03_real-big-data-management-applications
|
|
|
04_hands-on
|
|
|
|
02_big-data-modeling
|
|
01_what-is-a-data-model
|
|
|
02_hands-on
|
|
|
03_different-kinds-of-data-models-part-1
|
|
|
04_hands-on
|
|
|
|
03_big-data-modeling-part-2
|
|
01_different-kinds-of-data-models-part-2
|
|
|
02_hands-on
|
|
|
|
04_working-with-data-models
|
|
01_data-models-vs-data-formats
|
|
|
02_working-with-streaming-data
|
|
|
03_hands-on-handling-data-streams
|
|
|
|
05_big-data-management-the-m-in-dbms
|
|
01_why-data-management
|
|
|
02_from-dbms-to-bdms
|
|
|
|
06_designing-a-big-data-management-system-for-an-online-game
|
|
01_what-is-an-information-system
|
|
|
|
|
big-data-project
|
|
01_simulating-big-data-for-an-online-game
|
|
01_introduction-to-the-capstone-project
|
|
|
|
02_acquiring-exploring-and-preparing-the-data
|
|
01_acquiring-and-understanding-the-game-data
|
|
|
02_lets-do-it-exploring-and-preparing-the-data
|
|
|
|
03_data-classification-with-knime
|
|
01_get-thinking-classifying-players-spending-habits
|
|
|
02_lets-do-it
|
|
|
|
04_clustering-with-spark
|
|
01_get-thinking-clustering-to-improve-eglence-inc-s-revenue
|
|
|
02_lets-do-it
|
|
|
|
05_graph-analytics-of-simulated-chat-data-with-neo4j
|
|
01_get-thinking-a-graph-analytics-approach-to-simulated-chat-data
|
|
|
02_lets-do-it-working-with-simulated-chat-data-in-neo4j
|
|
|
|
06_reporting-and-presenting-your-work
|
|
01_final-project-instructions
|
|
|
|
07_final-submission
|
|
01_final-project-submission
|
|
|
02_optional-splunk-submission
|
|
|
|
Description
Related Torrents
Torrent hash:
Copied!