20764: Administering a SQL Database Infrastructure Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

20764: Administering a SQL Database Infrastructure Training Course Overview

20764: Administering a SQL Database Infrastructure training is an industry-recognized program which aims to prepare the professionals for measuring their ability to perform technical tasks, such as data access, managing backup, auditing, database restore, and disaster recovery. It is designed for professionals who want to learn SQL Server Database Infrastructure very quickly. MS SQL is a popular Relational Database Management System which helps businesses optimize and maintain the performance of their servers.

We provide this course under the supervision of industry experts to give the aspirants the top-notch skills to administer a SQL Server Database Infrastructure. Our trainers teach the ins and outs of technology. At Multisoft, the participants are also likely to know what sort of career path suits them the best.

Upon the completion of this course, the candidates will be able to:

  • Authorize users to access resources
  • Protect data with encryption and auditing
  • Describe recovery models and backup strategies
  • Authenticate and authorize users
  • Assign server and database roles
  • Backup SQL Server databases
  • Configure security for the SQL Server agent
  • Manage alerts and notifications
  • Managing SQL Server using PowerShell
  • Restore SQL Server databases
  • Automate database management
  • Trace access to SQL Server
  • Monitor a SQL Server infrastructure
  • Troubleshoot a SQL Server infrastructure
  • Import and export data
Target Audience
  • Individuals who develop applications that deliver content from SQL Server Database.
  • Individuals who administer and maintain SQL Server Database, perform database administration and maintenance, or work in environments where databases play a key role.
Prerequisites
  • Working knowledge of Transact-SQL
  • Working knowledge of relational databases
  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Some experience with database design

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20764: Administering a SQL Database Infrastructure Training Course curriculum

Curriculum Designed by Experts

20764: Administering a SQL Database Infrastructure training is an industry-recognized program which aims to prepare the professionals for measuring their ability to perform technical tasks, such as data access, managing backup, auditing, database restore, and disaster recovery. It is designed for professionals who want to learn SQL Server Database Infrastructure very quickly. MS SQL is a popular Relational Database Management System which helps businesses optimize and maintain the performance of their servers.

We provide this course under the supervision of industry experts to give the aspirants the top-notch skills to administer a SQL Server Database Infrastructure. Our trainers teach the ins and outs of technology. At Multisoft, the participants are also likely to know what sort of career path suits them the best.

Upon the completion of this course, the candidates will be able to:

  • Authorize users to access resources
  • Protect data with encryption and auditing
  • Describe recovery models and backup strategies
  • Authenticate and authorize users
  • Assign server and database roles
  • Backup SQL Server databases
  • Configure security for the SQL Server agent
  • Manage alerts and notifications
  • Managing SQL Server using PowerShell
  • Restore SQL Server databases
  • Automate database management
  • Trace access to SQL Server
  • Monitor a SQL Server infrastructure
  • Troubleshoot a SQL Server infrastructure
  • Import and export data
Target Audience
  • Individuals who develop applications that deliver content from SQL Server Database.
  • Individuals who administer and maintain SQL Server Database, perform database administration and maintenance, or work in environments where databases play a key role.
Prerequisites
  • Working knowledge of Transact-SQL
  • Working knowledge of relational databases
  • Basic knowledge of the Microsoft Windows operating system and its core functionality
  • Some experience with database design

Course Prerequisite

Course Target Audience

Course Content

The Google Cloud Certified Professional Data Engineer Certification Online Training prepares individuals to harness the full potential of Google Cloud technologies for data-driven decision making. The course covers data processing, machine learning, data modeling, and ensures mastery of skills to design, build, and maintain data processing systems. Trainees also learn about operational efficiency and compliant use of data.

  •  About This Course
  •  Course Audience and Prerequisites
  •  A Note About Demo Lessons
     

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  •  Data Processing Concepts
  •  Data Processing Pipelines
     

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  •  Introduction to Data Storage in GCP
  •  Working with Data
  •  Cloud Storage
  •  Service Accounts
  •  Data Transfer Services
  •  Cloud SQL
  •  Demo: Creating a Cloud SQL Instance and Loading Data
  •  Managing Google Cloud SQL Instances
  •  Hands-On Lab
  •  Working with Data in Google Cloud SQL
  •  Hands-On Lab
  •  Cloud Firestore
  •  Exploring Cloud Firestore in Datastore Mode
  •  Hands-On Lab
  •  Cloud Run Data in GCS and Firestore
  •  Hands-On Lab
  •  Cloud Spanner
  •  Demo: Working with Cloud Spanner
  •  Setting Up for Google Cloud Spanner
  •  Hands-On Lab
  •  Cloud Memorystore
  •  Demo: Working with Cloud Memorystore
  •  Comparing Storage Options
  •  Exam Tips
     

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  •  MapReduce
  •  Hadoop & HDFS
  •  Apache Pig
  •  Apache Spark
  •  Apache Kafka

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  •  Pub/Sub Concepts
  •  Pub/Sub Basics
  •  Demo: Working with Cloud Pub/Sub
  •  Demo: Cloud Pub/Sub Client Libraries
  •  Advanced Pub/Sub
  •  Demo: Loosely Coupled Services with Cloud Pub/Sub
  •  Demo: Stream Data through Cloud Pub/Sub to BigQuery
  •  Exam Tips

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  •  Dataflow Introduction
  •  Pipeline Lifecycle
  •  Dataflow Pipeline Concepts
  •  Advanced Dataflow Concepts
  •  Dataflow Security and Access
  •  Using Dataflow
  •  Exam Tips
  •  Demo: Working with Cloud Dataflow
  •  Demo: Streaming Pipelines with Cloud Dataflow
  •  Create Streaming Data Pipeline on GCP with Cloud Pub/Sub, Dataflow, and BigQuery

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  •  Dataproc Overview
  •  Dataproc Basics
  •  Demo: Working with Cloud Dataproc
  •  Advanced Dataproc
  •  Demo: Cloud Dataproc with the GCS Connector
  •  Exam Tips
     

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  •  Bigtable Concepts
  •  Bigtable Architecture
  •  Bigtable Data Model
  •  Demo: Working with Cloud Bigtable
  •  Bigtable Schema Design
  •  Bigtable Advanced Concepts
  •  Demo: Loading and Querying Data with Cloud Bigtable
  •  Exam Tips
     

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  •  BigQuery Basics
  •  Using BigQuery
  •  Partitioning and Clustering
  •  Best Practices
  •  Securing BigQuery
  •  BigQuery Monitoring and Logging
  •  Machine Learning with BigQuery ML
  •  Exam Tips
  •  Demo: Working with BigQuery
  •  Demo: Advanced BigQuery Features
     

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  •  Datalab Concepts
  •  Demo: Working with Cloud Datalab
  •  Demo: Jupyter Notebooks in GCP

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  •  Reporting and Business Intelligence
  •  Data Distributions
  •  Introduction to Data Studio
  •  Charts and Filters

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  •  Cloud Composer Overview
  •  Cloud Composer Architecture
  •  Demo: Working with Cloud Composer
  •  Advanced Cloud Composer
     

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  •  Machine Learning Introduction
  •  Machine Learning Basics
  •  Machine Learning Types and Models
  •  Overfitting
  •  Hyperparameters
  •  Feature Engineering
     

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  •  Deep Learning with TensorFlow
  •  Introduction to Artificial Neural Networks
  •  Neural Network Architectures
  •  Building a Neural Network
     

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  •  Cloud AI Cloud APIs
  •  Vision
  •  Video Intelligence
  •  Language
  •  Conversation
  •  Demo: Working with Cloud ML APIs

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  •  Introduction to AutoML
  •  Sight with AutoML
  •  Language with AutoML
  •  Structured Data with AutoML
     

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  •  Introduction to Operationalizing ML Models
  •  Kubeflow
  •  AI Platform

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  •  Security and Regulation Overview
  •  IAM Best Practices
  •  Data Security
  •  Data Privacy
  •  Industry Regulation

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  •  Dataprep Overview
  •  Demo: Working with Cloud Dataprep
     

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  •  Reference Architectures: Big Data
  •  Reference Architectures: Artificial Intelligence and Machine Learning
  •  Reference Architectures: Internet of Things
  •  Reference Architectures: Mobile & Gaming
  •  External Resources and Tutorials
  •  Exam Guide Breakdown
  •  What to Expect From the Exam

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Administering a SQL Database Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Administering a SQL Database Corporate Training

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