Big Data Analysis & Technology Concepts
PDF

Module 2
Big Data Analysis & Technology Concepts

This course explores a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Big Data environments. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions, as well as a high-level understanding of the back-end components that enable these functions.

The following primary topics are covered:

  • Big Data Analysis Lifecycle (from business case evaluation to data analysis and visualization)
  • A/B Testing, Correlation
  • Regression, Heat Maps
  • Time Series Analysis
  • Network Analysis
  • Spatial Data Analysis
  • Classification, Clustering
  • Outlier Detection
  • Filtering (including collaborative filtering & content-based filtering)
  • Natural Language Processing
  • Sentiment Analysis, Text Analytics
  • File Systems & Distributed File Systems, NoSQL
  • Distributed & Parallel Data Processing,
  • Processing Workloads, Clusters
  • Cloud Computing & Big Data
  • Foundational Big Data Technology Mechanisms

Duration: 1 Day

Taking the Course at a Workshop

This course can be taken as part of public or private instructor-led workshops. Visit the Workshop Calendar page to view the current calendar of public workshops or contact info@arcitura.com to inquire about private workshop delivery.

The following materials are provided to public and private workshop participants:

Note that as a workshop participant, you may be eligible for discounts on the purchase of the self-study kit and Pearson VUE exam voucher for this course.

Taking the Course using a Self-Study Kit

This course can be completed via self-study by purchasing a self-study kit, which includes the base course materials as well as additional supplements and resources designed specifically for self-paced study and exam preparation.

Big Data Analysis & Technology Concepts Module 2 Self-Study Kit [ order ]

Visit the Self-Study Kits page for pricing information and for details regarding discounted self-study kit bundles for individual certification tracks. The following materials are provided in the self-study kit for this course:

Module 2 Self-Study GuideModule 2
Self-Study Guide
Big Data Mechanism ExamplesBig Data Mechanism Examples

Audio Tutor CD 1 Overview - Part I (with David Royer)Audio Tutor CD 1
Overview - Part I
(with David Royer)
Audio Tutor CD 2 Overview - Part II (with David Royer)Audio Tutor CD 2
Overview - Part II
(with David Royer)
Audio Tutor CD 3 Exam Preparation (with David Royer)Audio Tutor CD 3
Exam Preparation
(with David Royer)
Array Flash Cards30 Flash Cards
img

This self-study kit can be purchased using the Online Store.

Note that by purchasing and registering this self-study kit, you may be eligible for discounts on the registration of this course as part of a workshop.

Certifications

This course corresponds to Exam B90.02, which is required for the following certifications:

Vendor-Neutral Topic Overview

Note that all BDSCP course modules are focused on vendor-neutral Big Data topics and therefore do not provide detailed coverage of any vendor-specific platforms or technologies. BDSCP courses are intentionally authored this way so as to provide an unambiguous and objective understanding of Big Data practices and technology that can be further complemented with product-specific training.

Fact Sheet

Download a printable PDF document with information about this course module and its corresponding self-study kit.

Pearson VUE Exams

A self-study kit is available for each Pearson VUE exam: www.pearsonvue.com/arcitura/

Self-Study Kits

A self-study kit is available for each Pearson VUE exam, allowing you to study remotely and at your own pace. For information about the latest available Self-Study Kits, visit the Self-Study page.

Instructor-Led Workshops

The following public workshops are currently scheduled. Additional workshops are often added on short notice. For information regarding private instructor-led workshops delivered to your location, contact: info@arcitura.com