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
– Traditional Enterprise
– Network Analysis
– Spatial Data Analysis
– Classification, Clustering
– Filtering (including collaborative filtering & content-based filtering)
– Sentiment Analysis, Text Analytics
– 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 instructor-led workshops taught by Arcitura Certified Trainers. These workshops can be open for public registration or delivered privately for a specific organization. Certified Trainers can teach workshops in-person at a specific location or virtually using a video-enabled remote system, such as WebEx. Visit the Workshop Calendar page to view the current calendar of public workshops or visit the Private Training page to learn more about Arcitura’s worldwide private workshop delivery options.
Below are the base materials provided to public and private workshop participants.
Note that as a workshop participant, you may be eligible for discounts on the purchase of the Study Kit and Pearson VUE exam voucher for this course.
Taking the Course using a Study Kit
This course can be completed via self-study by purchasing a Study Kit, which includes the base course materials as well as additional supplements and resources designed specifically for self-paced study and exam preparation.
Visit the BDSCP Module 2 Study Kit for pricing information and for details. Also, visit the Study Kits Overview page for information regarding discounted Certification Study Kit Bundles for individual certification tracks.
The following materials are provided in the Study Kit for this course:
Taking the Course using an eLearning Study Kit
This course can be completed via self-study by purchasing an eLearning Study Kit subscription, which includes online access to the base course materials as well as additional supplements and resources designed for self-paced study and exam preparation.
Visit the BDSCP Module 2 eLearning Study Kit page for pricing information and details. Also, visit the eLearning Study Kits Overview page for information regarding discounted Certification eLearning Study Kit Bundles for individual certification tracks.
This eLearning Study Kit provides access to the following materials:
Note that this Study Kit can be purchased with or without a discounted Pearson VUE exam voucher.
Study Kits and Study Bundles can be purchased using the online store. By purchasing and registering this Study Kit, you may be eligible for discounts on the registration of this course as part of a public workshop.
This course corresponds to Exam B90.02, which is required for the following certification(s):
– Certified Big Data Science Professional
– Certified Big Data Scientist
– Certified Big Data Consultant
– Certified Big Data Engineer
– Certified Big Data Architect
– Certified Big Data Governance Specialist
Vendor-Neutral Topic Overview
Note that all BDSCP course modules are focused on vendor-neutral 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 practices and technology that can be further complemented with product-specific training.
Download a printable PDF document with information about this course module and its corresponding Study Kit.