Data Architecture Deep Dive - Design & Implementation

Data Science    |    Intermediate
  • 12 videos | 35m 8s
  • Includes Assessment
  • Earns a Badge
This 11-video Skillsoft Aspire course explores the numerous types of data architecture that can be used when working with big data; how to implement strategies by using NoSQL (not only structured query language); CAP theorem (consistency, availability, and partition tolerance); and partitioning to improve performance. Learners examine the core activities essential for data architectures: data security, privacy, integrity, quality, regulatory compliances, and governance. You will learn different methods of partitioning, and the criteria for implementing data partitioning. Next, you will install and explore MongoDB, a cross-platform document-oriented database system, and learn to read and write optimizations in MongoDB. You will learn to identify various important components of hybrid data architecture, and adapting it to your data needs. You will learn how to implement DAG (Directed Acyclic Graph) by using the Elasticsearch search engine. You evaluate your needs to determine whether to implement batch processing or stream processing. This course also covers process implementation by using serverless and Lambda architecture. Finally, you will examine types of data risk when implementing data modeling and design.

WHAT YOU WILL LEARN

  • Describe data complexity management strategies
    Recognize data modeling techniques and describe data modeling processes
    List prominent distributed data models and their associative implementation benefits
    Describe data partitioning methods and data partitioning implementation criteria
    Install mongodb and implement data partitioning using mongodb
    Identify important components of a hybrid data architecture
  • Demonstrate how to implement directed acyclic graphs using elasticsearch
    Describe cap theorems and their implementation approaches
    Compare the differences between batch and streaming data
    Recognize the read and write optimizations in mongodb
    Implement serverless architecture with lambda and data partitioning using mongodb

IN THIS COURSE

  • 1m 46s
  • 4m 23s
    After completing this video, you will be able to describe data complexity management strategies. FREE ACCESS
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    3.  Data Modeling Process
    2m 58s
    After completing this video, you will be able to recognize data modeling techniques and describe data modeling processes. FREE ACCESS
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    4.  Distributed Data Management
    2m 40s
    After completing this video, you will be able to list prominent distributed data models and their associated implementation benefits. FREE ACCESS
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    5.  Partitioning Methods and Criteria
    2m 23s
    Upon completion of this video, you will be able to describe data partitioning methods and implementation criteria. FREE ACCESS
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    6.  MongoDB Partitioning
    5m 16s
    In this video, find out how to install MongoDB and implement data partitioning using MongoDB. FREE ACCESS
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    7.  Hybrid Data Architectures
    2m 57s
    In this video, you will learn how to identify important components of a hybrid data architecture. FREE ACCESS
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    8.  Implement Directed Acyclic Graph
    2m 52s
    In this video, you will learn how to implement directed acyclic graphs in Elasticsearch. FREE ACCESS
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    9.  CAP Theorem
    3m 7s
    After completing this video, you will be able to describe CAP theorem and its implementation approaches. FREE ACCESS
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    10.  Batch vs. Streaming
    2m 10s
    In this video, find out how to compare the differences between batch and streaming data. FREE ACCESS
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    11.  Read and Write Concerns
    2m 22s
    After completing this video, you will be able to recognize the read and write optimizations in MongoDB. FREE ACCESS
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    12.  Exercise: Implement Serverless Architecture
    2m 13s
    Find out how to implement serverless architecture with Lambda and data partitioning using MongoDB. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

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