Wij slaan cookies op om onze website te verbeteren. Is dat akkoord? Ja Nee Meer over cookies »
72152663 SKU 72152663

70-475 Designing and Implementing Big Data Analytics Solutions OEM Certkit

72152663 SKU 72152663

70-475 Designing and Implementing Big Data Analytics Solutions OEM Certkit

299,00 361,79 Incl. btw

Bestel online de E-Learning training Designing and Implementing Big Data Analytics Solutions exam 70-475 om u voor te bereiden op het 70-475 examen. Incl. Exam quizzes, Online mentor, MeasureUp sim. en Tips tricks.

Lees meer
Beschikbaarheid:
Op voorraad
Levertijd:
Bestel voor 16:00 uur en start vandaag.
  • Bestel voor 17:00 uur en start vandaag
  • Persoonlijke service van ons deskundige team
  • Veilig betalen
  • Betaal online of op factuur
  • De laagste prijs garantie

70-475 Designing and Implementing Big Data Analytics Solutions OEM Certkit E-Learning

Big data analytics has rapidly become a standard tool assisting with business data-driven decisions and corporate strategy execution. It has become a key part of the Microsoft Business Intelligence and Analytics product offerings. The Microsoft Azure Hadoop-based big data systems such as HDInsight are central to the delivery of cloud-based big data analytics services. Operators and end users of such systems must recognize important features and best practices for designing and implementing these tools. Armed with this knowledge, decisions can be made that are tailored to the needs of the organization and ensure that the performance is optimized, and the associated costs are minimized.

The 70-475 examination is designed to test a candidate's proficiency in designing and implementing big data analytics solutions. This CertKit will assist candidates who are studying for and preparing to take the Microsoft exam, 70-475: Designing and Implementing Big Data Analytics Solutions.Prerequisites:
Experienced in designing, programming, implementing, automating, and monitoring Microsoft Azure cloud platform solutions. Exam candidates should also be adept at using development tools, techniques, and design methodologies associated with the implementations of cloud-based big data analytics solutions.

Course content

Ingesting Data and Computing for Batch Processing

Course: 1 Hour, 34 Minutes
Expertise Level: Intermediate

Course Introduction
Azure Big Data Solutions
Azure Storage Solutions
Azure Data Factory and the Azure Data Lake Store
Azure PowerShell
Data Considerations for Azure HDInsight
Apache Storm and Apache Flume
Azure Cosmos DB and DocumentDB
ASP.NET Application Data
Microsoft Azure Storage Explorer
Azure SQL Data Warehouse
Data Query with PolyBase
Moving Data to Azure Virtual Machine

Designing Batch Processing and Data Security

Course: 1 Hour, 59 Minutes
Expertise Level: Intermediate

Course Introduction
Apache Sqoop
Importing Data with Apache Sqoop
Apache Ambari
Oozie for Apache Hadoop
HCatalog
Apache Zookeeper

Ingesting Data and Computing for Real-time Processing

Course: 1 Hour, 33 Minutes
Expertise Level: Intermediate

Course Introduction
Common Uses for Real-time Analytics Processing
Apache NiFi Overview
Apache NiFi Architecture and Performance
Key Features of Apache NiFi
Overview of Azure Event Hubs
Key Features of Azure Event Hubs
Create an Event Hub
Send Messages to Azure Event Hubs
Receive Messages Using the Event Processor Host
Receive Events Using Apache Storm
Enable Event Hubs Capture
Row Key Design in HBase
Types of Data Partitioning Schemes
Designing Effective Data Partitions

Designing the Lambda Architecture and Real-time Processing

Course: 1 Hour, 45 Minutes
Expertise Level: Intermediate

Course Introduction
Application of the Lambda Architecture
Lambda Batch Layer
Lambda Serving Layer
Lambda Speed Layer
Lambda Architecture Capabilities and Limitations
The Kappa Architecture

Provisioning an Azure Data Factory

Course: 1 Hour, 20 Minutes
Expertise Level: Expert

Course Overview
Azure Data Factory Features
Azure Data Factory Components and Data Sources
Azure Data Factory Functions and Variables
Preparing to Create a Data Factory
Create a Data Factory with Visual Studio
Data Factory Datasets
Dataset Definitions and Properties
Dataset Structure
Create Datasets with Visual Studio

Managing Activities and Data for Azure Big Data Analytics

Course: 1 Hour, 32 Minutes
Expertise Level: Expert

Course Introduction
Monitoring and Management App
Resource Explorer Tab
Create Alerts
Batch Pipeline Action
Diagram View

Automation and Machine Learning

Course: 1 Hour, 46 Minutes
Expertise Level: Expert

Course Introduction
Create an Azure Data Factory with PowerShell4
Azure Storage Account Linked Service
Azure SQL Database Linked Service
Create an Input Dataset
Create an Output Dataset
Create a Pipeline to Copy Data
Create a Pipeline to Transform Data
Pipeline Monitoring with PowerShell

Levertijd Binnen 1 werkdag
Online toegang 365 dagen
Lesduur 11:29 uur
Studiebelasting Variabel i.v.m. praktijkopdrachten.
Leermethoden Instructie video, Demonstratie video, Knowledge Base
Besturingssystemen Microsoft Windows, Google Chrome OS, Apple MacOS
Inbegrepen dienstverlening Contact met docent per mail en chat, Voortgangsrapportage, 24/7 online toegang
Ondersteunde browsers Internet Explorer, Edge, Firefox, Safari en Chrome
MOS Examen Mogelijk voor bijbehorend examennummer
Toegang tot docent Per mail en chat
Extra Opties Virtual Labs (indien beschikbaar)

Er zijn nog geen reviews geschreven over dit product.

Beoordelingen

Er zijn nog geen reviews geschreven over dit product.

Microsoft Office SCORM e-Learning

Wilt u Microsoft Office e-Learning SCORM hosten in het LMS van uw organisatie? Neem contact met ons op.

Cursisten

Duizenden tevreden cursisten bij OEM

Gemiddelde beoordeling

Springest: 8.7, Webwinkelkeur: 7.8

20+ jaar ervaring

Ook wij blijven leren

Kwaliteit

Bekroonde E-Learning & Gecertificeerde Docenten