New members: Get your first 7 days of ITTutorPro Premium for free! Join for free No credit card required.

Facebook-f Youtube Linkedin-in
IT Tutor Pro logo featuring a circular design with gears and text, representing IT education and tutoring services.
Request a Demo
IT Tutor PRO Inc

Microsoft SQL 2019 – Big Data

Closed Caption

Certificate

Dedicated Tutors

41 Videos
7.6 Hours
75 Test Questions

Microsoft SQL 2019 – Big Data

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

7.6 Hours
41 Videos

Microsoft SQL 2019 – Big Data

Course Description

7.6 Hours

41 Videos

Microsoft SQL 2019: Big Data

The Microsoft SQL Server 2019: Big Data course is designed for professionals who want to leverage SQL Server 2019’s capabilities for handling and analyzing large-scale data sets. This course explores the integration of SQL Server with big data technologies, focusing on how to work with large volumes of data efficiently. Participants will learn how to configure, manage, and analyze big data using SQL Server’s built-in tools and features, including the integration of Hadoop and Spark.

Key Features:

  • Big Data Architecture: Understand the architecture of SQL Server 2019’s big data capabilities, including its integration with Hadoop Distributed File System (HDFS) and Apache Spark.
  • Data Virtualization: Learn how to use SQL Server’s PolyBase feature to query and integrate data from various sources, including Hadoop and other external data stores, as if it were part of a single database.
  • Big Data Clusters: Explore the setup, configuration, and management of SQL Server Big Data Clusters, including deploying and scaling clusters and integrating them with other data processing tools.
  • Data Ingestion and Preparation: Discover techniques for ingesting and preparing large data sets for analysis, including using data lakes and staging data for further processing.
  • Advanced Analytics with Apache Spark: Gain insights into using Apache Spark with SQL Server to perform advanced analytics, including machine learning and large-scale data processing.
  • Performance Tuning and Optimization: Learn strategies for optimizing the performance of big data queries and operations, including tuning data storage and processing workflows.
  • Security and Data Governance: Understand best practices for securing big data environments, managing access controls, and ensuring data governance and compliance.
  • Data Visualization and Reporting: Explore tools and techniques for visualizing and reporting on big data, including integration with Power BI for interactive dashboards and insights.

This course equips professionals with the knowledge and skills needed to manage and analyze large-scale data using SQL Server 2019, enabling them to harness the power of big data technologies to drive informed business decisions.

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

Share on:

Proudly Display Your Achievement

Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.

WhatsApp Image 2025-01-31 at 5.18.33 AM

Course Syllabus

Chapter One:

Module 1: What are Big Data Clusters?

  • 1 Introduction
  • 2 Linux, PolyBase, and Active Directory
  • 3 Scenarios
Chapter Two:

Module 2: Big Data Cluster Architecture

  • 1 Introduction
  • 2 Docker
  • 3 Kubernetes
  • 4 Hadoop and Spark
  • 5 Components
  • 6 Endpoints
Chapter Three:

Module 3: Deployment of Big Data Clusters

  • 1 Introduction
  • 2 Install Prerequisites
  • 3 Deploy Kubernetes
  • 4 Deploy BDC
  • 5 Monitor and Verify Deployment
Chapter Four:

Module 4: Loading and Querying Data in Big Data Clusters

  • 1 Introduction
  • 2 HDFS with Curl
  • 3 Loading Data with T-SQL
  • 4 Virtualizing Data
  • 5 Restoring a Database
Chapter Five:

Module 5: Working with Spark in Big Data Clusters

  • 1 Introduction
  • 2 What is Spark
  • 3 Submitting Spark Jobs
  • 4 Running Spark Jobs via Notebooks
  • 5 Transforming CSV
  • 6 Spark-SQL
  • 7 Spark to SQL ETL
Chapter Six:

Module 6: Machine Learning on Big Data Clusters

  • 1 Introduction
  • 2 Machine Learning Services
  • 3 Using MLeap
  • 4 Using Python
  • 5 Using R
Chapter Seven:

Module 7: Create and Consume Big Data Cluster Apps

  • 1 Introduction
  • 2 Deploying, Running, Consuming, and Monitoring an App
  • 3 Python Example – Deploy with azdata and Monitoring
  • 4 R Example – Deploy with VS Code and Consume with Postman
  • 5 MLeap Example – Create a yaml file
  • 6 SSIS Example – Implement scheduled execution of a DB backup
Chapter Eight:

Module 8: Maintenance of Big Data Clusters

  •  8.1 Introduction
  •  8.2 Monitoring
  •  8.3 Managing and Automation
  •  8.4 Course Wrap Up

$42.60

$42.60
course Syllabus

Share on:

  • Vast selection of courses & Access
  • Unlimited access from all devices
  • Learn from industry expert instructors
  • Monitor progress report
  • Course completion certificates
  • Blended Learning with Virtual Classes
  • Access to new courses every quarter
  • 100% satisfaction guarantee

You Will Get Certification After Completion of This Course.

Microsoft SQL 2019 – Big Data

$42.60

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Related Products

Recently Viewed

Description

Microsoft SQL 2019: Big Data

The Microsoft SQL Server 2019: Big Data course is designed for professionals who want to leverage SQL Server 2019’s capabilities for handling and analyzing large-scale data sets. This course explores the integration of SQL Server with big data technologies, focusing on how to work with large volumes of data efficiently. Participants will learn how to configure, manage, and analyze big data using SQL Server’s built-in tools and features, including the integration of Hadoop and Spark.

Key Features:

  • Big Data Architecture: Understand the architecture of SQL Server 2019’s big data capabilities, including its integration with Hadoop Distributed File System (HDFS) and Apache Spark.
  • Data Virtualization: Learn how to use SQL Server’s PolyBase feature to query and integrate data from various sources, including Hadoop and other external data stores, as if it were part of a single database.
  • Big Data Clusters: Explore the setup, configuration, and management of SQL Server Big Data Clusters, including deploying and scaling clusters and integrating them with other data processing tools.
  • Data Ingestion and Preparation: Discover techniques for ingesting and preparing large data sets for analysis, including using data lakes and staging data for further processing.
  • Advanced Analytics with Apache Spark: Gain insights into using Apache Spark with SQL Server to perform advanced analytics, including machine learning and large-scale data processing.
  • Performance Tuning and Optimization: Learn strategies for optimizing the performance of big data queries and operations, including tuning data storage and processing workflows.
  • Security and Data Governance: Understand best practices for securing big data environments, managing access controls, and ensuring data governance and compliance.
  • Data Visualization and Reporting: Explore tools and techniques for visualizing and reporting on big data, including integration with Power BI for interactive dashboards and insights.

This course equips professionals with the knowledge and skills needed to manage and analyze large-scale data using SQL Server 2019, enabling them to harness the power of big data technologies to drive informed business decisions.

Reviews

There are no reviews yet.

Be the first to review “Microsoft SQL 2019 – Big Data”

Your email address will not be published. Required fields are marked *

Want Us to Email you About Special Offers & Updates?

QUICK LINKS

OFFICE HOURS

  • Mon-Fri: 8:00 am-5:00 pm EST

Email

Schedule a call

US OFFICES

  • IT Tutor PRO, Inc 10 Burlington Mall Road Suite 301 Burlington, MA 01803
App Store badge indicating availability of mobile applications for download on iOS devices, featuring a smartphone icon.
Google Play Store badge for Android app download, featuring the iconic green triangle logo and text indicating availability on Google Play.

PAY NOW

Logos of various payment methods including Visa, MasterCard, Discover, American Express, and PayPal for online transactions.

TERMS & CONDITIONS

IT Tutor Pro logo featuring gears and a blue accent, representing technology and education in IT tutoring services.
Facebook Youtube Linkedin

2014-2024 © Copyright – IT Tutor PRO, Inc