Certification · 2020. 4. 27. · You can take exams anywhere in the world via Pearson VUE testing...

Big Data Architect

BIG DATA ARCHITECTCertification

Big DataArchitect

C E R T I F I E D

®

Big DataArchitecture

T R A I N I N G

®

®

Big Data Science Certified Professional (BDSCP) certifications are formal accreditations that prove proficiency in specific areas of Big Data. To obtain a certification, candidates are required to pass a set of exams. Some exams provide credit toward multiple certifications tracks.

TABLE OF CONTENTS

Module 12: Big Data Architecture Lab

Module 11: Advanced Big Data Architecture

Module 2: Big Data Analysis &

Technology Concepts

Exam B90.BDA

Module 10: Fundamental Big Data Architecture

Module 1: Fundamental Big Data

Training & Certification

Arcitura Certification Programs

12

08

05

10

06

04

14

16

4

TRAINING & CERTIFICATIONThe Big Data Architect track is comprised of BDSCP Modules 1, 2, 10, 11 and 12, the outlines for which are provided in the upcoming pages. The final course module consists of a series of lab exercises that require participants to apply their knowledge of the preceding courses in order to fulfill project requirements and solve real world problems. Completion of these courses as part of a virtual or on-site workshop results in each participant receiving an official digital Certificate of Completion, as well as a digital Training Badge from Acclaim/Credly.

A Certified Big Data Architect has demonstrated proficiency in the design, implementation and integration of Big Data solutions within the IT enterprise or cloud-based environments. Depending on the exam format chosen, attaining the Big Data Architect Certification can require passing a single exam or multiple exams. Those who achieve this certification receive an official digital Certificate of Excellence, as well as a digital Certification Badge from Acclaim/Credly with an account that supports the online verification of certification status.

For more information, visit: www.arcitura.com/bdscp/architect.

Big Data Architect

Big DataArchitect

C E R T I F I E D

®

Big DataArchitecture

T R A I N I N G

®

5Copyright © Arcitura Education Inc. www.arcitura.com

EXAM B90.BDAYou can take exams anywhere in the world via Pearson VUE testing centers, Pearson VUE online proctoring and Arcitura on-site exam proctoring at your location.

You are provided with three flexible exam format options:

• Complete Exam B90.BDA, a single combined exam for the entire Big Data Architect certification track. Recommended for those who want to only take a single exam that encompasses all course modules within this track.

• Complete the partial version of Exam B90.BDA. Recommended for those who have already obtained a BDSCP certification and would like to achieve the Big Data Architect Certification without having to be retested on BDSCP Modules 1 and 2.

• Complete one module-specific exam for each course module in Big Data Architect Certification track. This is recommended for those who want to progress gradually through the track and who would like to be assessed after each course module before proceeding to the next.

Visit www.arcitura.com/bdscp/exams for more information. (Note that not all exam formats may be available via all exam delivery options.)

It is recommended that you prepare for the exam(s) by acquiring the Big Data Architect Certification eLearning kit bundle or the printed Big Data Architect Certification study kit bundle or by attending an instructor-led workshop that includes BDSCP Modules 1, 2, 10, 11 and 12. The current public workshop calendar can be viewed at www.arcitura.com/workshops. To learn more about having a private workshop delivered at your location, visit www.arcitura.com/private.

®

6

Fundamental Big Data

MORE INFOFor curriculum information, visit www.arcitura.com/bdscp.

MODULE

01 This foundational course provides a high-level overview of essential Big Data topic areas. A basic understanding of Big Data from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues.

The course content is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises.

The following primary topics are covered:

• Understanding Big Data• Fundamental Big Data Terminology and Concepts• Big Data Business Drivers and Technology Drivers• Traditional Enterprise Technologies Related to Big Data• OLTP, OLAP, ETL and Data Warehouses in relation to Big Data• Characteristics of Data in Big Data Environments• Dataset Types in Big Data Environments• Structured, Unstructured and Semi-Structured Data• Metadata and Data Veracity• Fundamental Analysis and Analytics• Quantitative and Qualitative Analysis• Machine Learning Types• Descriptive and Diagnostic Analytics• Predictive and Prescriptive Analytics• Business Intelligence and Big Data• Data Visualization and Big Data• Big Data Adoption and Planning Considerations


CONTENTSThis course is available as part of an Arcitura Study Kit in full-color printed and eLearning formats. In addition to the base course materials used during training workshops, additional materials designed for self-study purposes are also included.

• Workbook • Self-Study Guide• Symbol Legend Poster• Mind Map Posters• Patterns and Mechanisms Poster• Flashcards• Audio Tutor Recordings

eLEARNINGThe eLearning kit provides enhanced features for self-study, including custom annotations and commenting, outline-driven navigation, custom bookmarks, multi-document viewing and full-text searching. This environment also enables online and offline access without the need to install any software.

8

Big Data Analysis & Technology Concepts

MODULE

02


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 intentionally 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.


• Big Data Analysis Lifecycle (from Business Case Evaluation to Data Analysis and Visualization)

• A/B Testing and Correlation• Regression and Heat Maps• Time Series Analysis• Network Analysis and Spatial Data Analysis• Classification and Clustering• Filtering, including Collaborative Filtering and

Content-based Filtering• Sentiment Analysis and Text Analytics• Clusters and Processing Batch and Transactional Workloads• How Cloud Computing relates to Big Data• Foundational Big Data Technology Mechanisms• Big Data Storage Devices and Processing Engines• Resource Managers, Data Transfer Engines and Query Engines• Analytics Engines, Workflow Engines and Coordinate Engines


• Workbook • Self-Study Guide• Supplement• Mind Map Poster• Flashcards• Audio Tutor Recordings



10

Fundamental Big Data Architecture

This course provides an overview of essential topic areas pertaining to Big Data solution platform architecture, covering a range of architectural models, approaches and considerations. Big Data mechanisms are explained for the creation of Big Data solutions, as well as architectural options for assembling data processing platforms.

The course further introduces the enterprise data warehouse and discusses various options for its integration with Big Data environments. Common scenarios are also presented to provide a basic understanding of how Big Data solutions are generally utilized. Finally, the use of cloud environments for the Big Data olutions is explored in the context of cloud computing delivery and deployment models.


• Security Engines, Cluster Managers and Data Governance Managers• Visualization Engines and Productivity Portals• Machine-Level Data Processing Architectural Models• Shared-Everything and Shared-Nothing Architectures• Big Data Analytics Logical Architecture• Data Sources and Data Acquisition Layers• Storage, Processing and Batch Layers• Realtime Processing, including Event Stream and Complex

Event Processing• Enterprise Data Warehouse and Big Data Integration Approaches

(including Series and Parallel)• Poly Source, including Relational, Streaming and File-based Sources• Poly Storage, including Automatic Data Replication and

Data Size Reduction• Random Access Storage, including High Volume Binary, Tabular,

Linked, Hierarchical and Data Sharding• Streaming Access Storage, including Streaming Storage and

Dataset Decomposition• Large-Scale Batch Processing, Complex Decomposition and

Processing Abstraction• Poly Sink, including Relational Sink, File-based Sink and Automated

Dataset Execution• Big Data Appliance and Data Virtualization• Architectural Environments, including ETL• Analytics Engines and Application Enrichment• Cloud Computing and Big Data Architectural Considerations• Cloud Delivery and Deployment Models for Hosting Big Data Solutions

MODULE

10



• Workbook • Self-Study Guide• Supplement• Mind Map Poster• Patterns and Mechanisms Poster• Design Patterns Poster• Flashcards• Audio Tutor Recordings



12

Advanced Big Data Architecture

This course builds upon Module 10 by exploring advanced topics pertaining to Big Data solution platform architecture. In particular, different architectural layers that make up the Big Data solution platform are introduced and discussed, including those pertaining to storage, processing and security. Also covered are a number of design patterns and compound patterns generally employed when building enterprise Big Data solutions.


• Enterprise Data Warehouses and Big Data• Operational Data Store, Data Marts and Analytical Databases• Big Data Solution Architectural Layers• Big Data Architecture, Maintenance and Governance• Big Data Security Architecture• Series, Parallel, Appliance and Virtualization Approaches• Big Data and Cloud-based Storage and Data Processing• Canonical Data and Large-Scale Graph Processing• Realtime Access Storage and Direct Data Access• Analytical Sandbox and Confidential Data Storage• Batch Data Processing and Dataset Denormalization• Online Data Repository and Big Data Warehouse Architecture• Operational Data Store and Indirect Data Access• Integrated Access and Centralized Dataset Governance• Event Stream Processing and Complex Event Processing• Fan-in Ingress, Fan-out Ingress and High Velocity

Realtime Processing• Data Egress, Data Visualization and Data Utilization• Data Wrangling, Data Processing and Data Analysis Processing• Big Data Solution Design Patterns and Architectural

Compound Patterns• Lambda Architecture, Layers, Characteristics and Benefits

MODULE

11



• Workbook • Self-Study Guide• Supplement• Mind Map Poster• Design Patterns Poster• Patterns and Mechanisms Poster• Flashcards• Audio Tutor Recordings



14

Big Data Architecture Lab

This course module covers a series of exercises and problems designed to test the participant’s ability to apply knowledge of topics covered previously in course modules 10 and 11. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data architecture practices as they are applied and combined to solve real-world problems.

As a hands-on lab, this course incorporates a set of detailed exercises that require participants to solve various inter-related problems, with the goal of fostering a comprehensive understanding of how different data architecture technologies, mechanisms and techniques can be applied to solve problems in Big Data environments.̀

For instructor-led delivery of this lab course, the Certified Trainer works closely with participants to ensure that all exercises are carried out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion. For individual completion of this course as part of the Module 12 Study Kit, a number of supplements are provided to help participants carry out exercises with guidance and numerous resource references.

MODULE

12



• Lab Exercises Booklet• Self-Study Guide• Mind Map Poster• Flashcards• Audio Tutor Recordings̀



16To learn more, visit: www.arcitura.com/nextgen

DEVOPSMODULE 01 Fundamental DevOps

DEVOPSMODULE 02 DevOps in Practice

DEVOPSMODULE 03 DevOps Lab

BLOCKCHAINMODULE 01 Fundamental Blockchain

BLOCKCHAINMODULE 02

Blockchain Technology & Architecture

BLOCKCHAINMODULE 03

Blockchain Technology & Architecture Lab

CertifiedDevOps

Specialist

CertifiedBlockchainArchitect

IoT MODULE 01 Fundamental IoT

IoT MODULE 02 IoT Technology & Architecture

IoT MODULE 03 IoT Technology & Architecture Lab

CertifiedIoT

Architect

CONTAINERIZATION

MODULE 01Fundamental Containerization

CONTAINERIZATION

MODULE 02Containerization Technology & Architecture

CONTAINERIZATION

MODULE 03Containerization Technology & Architecture Lab

CertifiedContainerization

Architect

MACHINELEARNING

MODULE 01Fundamental Machine Learning

MACHINELEARNING

MODULE 02Advanced Machine Learning

MACHINELEARNING

MODULE 03Machine Learning Lab

CertifiedMachineLearningSpecialist

AI MODULE 01 Fundamental Artificial Intelligence

AI MODULE 02 Advanced Artificial Intelligence

AI MODULE 03 Artificial Intelligence Lab

CertifiedArtificial

IntelligenceSpecialist

NEXT-GEN IT ACADEMY CERTIFICATIONS

®


To learn more, visit: www.arcitura.com/ccp

MODULE 03 Cloud Technology Lab

CertifiedCloud

TechnologyProfessional

MODULE 04 Fundamental Cloud Architecture

MODULE 05 Advanced Cloud Architecture

MODULE 06 Cloud Architecture Lab

CertifiedCloud

Architect

CertifiedCloud

Professional*

MODULE 07 Fundamental Cloud Security

MODULE 08 Advanced Cloud Security

MODULE 09 Cloud Security Lab

CertifiedCloud

SecuritySpecialist

MODULE 10 Fundamental Cloud Governance

MODULE 11 Advanced Cloud Governance

MODULE 12 Cloud Governance Lab

CertifiedCloud

GovernanceSpecialist

MODULE 13 Fundamental Cloud Storage

MODULE 14 Advanced Cloud Storage

MODULE 15 Cloud Storage Lab

CertifiedCloud

StorageSpecialist

MODULE 01 Fundamental Cloud Computing

MODULE 16 Fundamental Cloud Virtualization

MODULE 17 Advanced Cloud Virtualization

MODULE 18 Cloud Virtualization Lab

CertifiedCloud

VirtualizationSpecialist

MODULE 02 Cloud Technology Concepts

* The Certified Cloud Professional designation is automatically issued when achieving any other CCP certification. It can also be achieved by receiving passing grades on Exams C90.01 + C90.02.

CLOUD CERTIFIED PROFESSIONAL (CCP) CLOUD SCHOOL

18To learn more, visit: www.arcitura.com/bdscp

MODULE 01 Fundamental Big Data

MODULE 02 Big Data Analysis & Technology Concepts

CertifiedBig DataScience

Professional

MODULE 03 Big Data Analysis & Technology Lab

MODULE 04 Fundamental Big Data Analysis & Science

MODULE 05 Advanced Big Data Analysis & Science

CertifiedBig DataScientist

CertifiedBig Data

Professional*

MODULE 06 Big Data Analysis & Science Lab

CertifiedBig Data

Consultant

MODULE 07 Fundamental Big Data Engineering

MODULE 08 Advanced Big Data Engineering

CertifiedBig DataEngineer

MODULE 09 Big Data Engineering Lab

MODULE 10 Fundamental Big Data Architecture

MODULE 11 Advanced Big Data Architecture

CertifiedBig DataArchitect

MODULE 12 Big Data Architecture Lab

MODULE 13 Fundamental Big Data Governance

MODULE 14 Advanced Big Data Governance

MODULE 15 Big Data Governance Lab

CertifiedBig Data


* The Certified Big Data Professional designation is automatically issued when achieving any other BDSCP certification. It can also be achieved by receiving passing grades on Exams B90.01 + B90.02.

BIG DATA SCIENCE CERTIFIED PROFESSIONAL (BDSCP) BIG DATA SCIENCE SCHOOL

®


To learn more, visit: www.arcitura.com/soacp

CertifiedSOA

Analyst

MODULE 04 Fundamental SOA Analysis & Modeling w/ Services & Microservices

MODULE 05 Advanced SOA Analysis & Modelingw/ Services & Microservices

MODULE 06 SOA Analysis & Modeling Labw/ Services & Microservices

CertifiedSOA

Architect

MODULE 07 Advanced SOA Design & Architecturew/ Services & Microservices

MODULE 08SOA Design & Architecture Labw/ Services & Microservices

CertifiedMicroservice

Architect

MODULE 10Advanced Microservice Architecture & Containerization

MODULE 11Microservice Architecture & Containerization Lab

CertifiedService

APISpecialist

MODULE 13Advanced Service API Design & Management

MODULE 14Service API Design & Management Lab

CertifiedService


MODULE 15Fundamental Service Governance & Project Delivery

MODULE 16Advanced Service Governance & Project Delivery

MODULE 17 Service Governance & Project Delivery Lab

CertifiedService

TechConsultant

MODULE 09Fundamental Microservice Architecture & Containerization

MODULE 12Fundamental Service API Design & Management

CertifiedServiceSecurity

Specialist

MODULE 18Fundamental Security for Services, Microservices & SOA

MODULE 19Advanced Security for Services, Microservices & SOA

CertifiedSOA

Professional*

MODULE 01Fundamental SOA, Services & Microservices

MODULE 02 Service Technology Concepts

MODULE 03 Design & Architecture w/ SOA, Services & Microservices

* The Certified SOA Professional designation is automatically issued when achieving any other SOACP certification. It can also be achieved by receiving passing grades on Exams S90.01B + S90.02B or S90.01B + S90.03B.

MODULE 20Security Lab for Services, Microservices & SOA

SOA CERTIFIED PROFESSIONAL (SOACP) SOA SCHOOL

Certification · 2020. 4. 27. · You can take exams anywhere in the world via Pearson VUE testing...

Documents

Transcript of Certification · 2020. 4. 27. · You can take exams anywhere in the world via Pearson VUE testing...