13 Training Hours
77 Videos
17 Topics
75 Practice Questions
This SQL Big Data course focuses on one of SQL Server’s most impactful features—SQL Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will be shown how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For instance, you can stream large volumes of data from Apache Spark in real-time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database.
About Microsoft SQL Server 2019 – Big Data
This course provides everything necessary to get started working with SQL Big Data Clusters in SQL Server . You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You will be shown how to configure and deploy Big Data Clusters. You will be ready to use and unveil the full potential of SQL Server : combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis.
- What a Big Data Cluster is
- How to deploy BDC
- How to analyze large volumes of data directly from SQL Server
- How to analyze large volumes of data via Apache Spark
- How to manage data stored in HDFS from SQL Server as if it were relational data
- How to implement advanced analytics solutions through machine learning
- How to expose different data sources as a single logical source using data virtualization
This Microsoft SQL – SQL Big Data course is intended for data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments.
More about Microsoft SQL Server 2019 – Big Data
The Microsoft SQL Server 2019 – Big Data course is designed to equip individuals with the knowledge and skills to work with big data using SQL Server 2019. This course covers various aspects of big data, including data ingestion, data storage, data processing, and data analysis. Participants learn how to leverage SQL Server tools and technologies to handle large and complex data sets efficiently. In this document, we will explore the knowledge benefits, career benefits, job opportunities, salary potential, and the significance of completing the Microsoft SQL Server 2019 – Big Data course.
Knowledge Benefits
The Microsoft SQL Server 2019 – Big Data course offers several knowledge benefits, including:
Understanding Big Data Concepts: Participants gain a comprehensive understanding of big data concepts, including the characteristics of big data, data volume, velocity, variety, and veracity. They learn how to handle and process large and diverse data sets.
SQL Server Big Data Tools: The course covers various SQL Server tools and technologies specifically designed for big data processing, such as PolyBase, Azure Data Studio, and SQL Server Integration Services (SSIS). Participants learn how to utilize these tools to ingest, store, and analyze big data.
Data Processing Techniques: Participants learn different data processing techniques used in big data scenarios, including batch processing, stream processing, and distributed processing. They understand how to implement parallelism and scalability for efficient data processing.
Big Data Analytics: The course introduces techniques for analyzing big data, including advanced SQL queries, data aggregation, and statistical analysis. Participants learn how to derive valuable insights and patterns from large data sets.
Career Benefits
Completing the Microsoft SQL Server 2019 – Big Data course can provide several career benefits, including:
Big Data Management Skills: Participants acquire in-demand skills in managing and processing big data using SQL Server 2019. These skills are highly sought after in roles such as big data engineers, data analysts, and data scientists.
Enhanced Data Analysis Abilities: The course equips individuals with the ability to analyze large and complex data sets, enabling them to uncover meaningful insights and make data-driven decisions. These skills are valuable in various industries where big data analysis is crucial.
Expanded Job Opportunities: Proficiency in handling big data using SQL Server 2019 opens up job opportunities in industries such as finance, e-commerce, healthcare, and technology. Organizations increasingly rely on professionals who can manage and analyze big data effectively.
Job Opportunities
Proficiency in Microsoft SQL Server 2019 – Big Data can lead to job opportunities in various roles, including:
Big Data Engineer: Big data engineers are responsible for designing and implementing big data solutions. They work with SQL Server tools and technologies to manage and process large data sets efficiently.
Data Analyst: Data analysts utilize SQL Server big data tools to analyze and extract insights from massive data sets. They apply statistical techniques and develop data models to support decision-making processes.
Data Scientist: Data scientists leverage SQL Server 2019 capabilities to analyze and interpret big data. They use advanced analytics techniques to uncover patterns, trends, and correlations in large data sets.
Salary Potential
The salary potential for individuals with Microsoft SQL Server 2019 – Big Data skills varies based on factors such as job role, experience, location, and industry. However, professionals in roles such as big data engineers, data analysts, and data scientists typically enjoy competitive salaries. These roles often offer attractive compensation packages, reflecting the high demand for expertise in handling and analyzing big data.
Conclusion:
The Microsoft SQL Server 2019 – Big Data course equips individuals with essential knowledge and skills for working with big data using SQL Server 2019. Completing this course enhances career prospects as big data engineers, data analysts, or data scientists. Job opportunities in various industries await those with SQL Server 2019 – Big Data skills. Professionals in this field can enjoy competitive salaries due to their ability to manage and analyze large data sets effectively. This course prepares individuals to succeed in the data-driven world by addressing big data challenges and contributing to data-driven decision-making processes.
Using IT Certs Training for Microsoft SQL Server 2019 – Big Data Certification
IT Certs Training is an online training company that provides comprehensive training programs for various IT certifications, including Microsoft SQL Server 2019 – Big Data. The program offers several benefits, making it the best option for obtaining this certification:
1. Flexibility:
IT Certs Training provides self-paced online courses that allow learners to study at their own pace and schedule. This flexibility is particularly useful for working professionals who want to obtain a certification while continuing to work.
2. Comprehensive Curriculum:
The IT Certs Training curriculum covers all the topics and skills required to pass the Microsoft SQL Server 2019 – Big Data certification exam. The program provides videos, practice tests, and study materials that are designed to help learners master the exam objectives.
3. Experienced Instructors:
The program instructors are experienced professionals who have extensive knowledge and expertise in IT Networking and CyberSecurity in addition to many other areas of expertise. They provide guidance and support to learners throughout the training program.
4. Exam Preparation:
IT Certs Training provides exam preparation materials, including practice exams and study guides. These resources help learners prepare for the certification exam and increase their chances of passing it on the first try.
5. Cost-Effective:
The IT Certs Training program is cost-effective compared to other training programs. The program offers affordable pricing and provides value for money by offering comprehensive training and exam preparation resources.
Course Outline
Module 1: What are Big Data Clusters?
Module 2: Big Data Cluster Architecture
Module 3: Deployment of Big Data Clusters
Module 4: Loading and Querying Data in Big Data Clusters
Module 5: Working with Spark in Big Data Clusters
Module 6: Machine Learning on Big Data Clusters
Module 7: Create and Consume Big Data Cluster Apps
Module 8: Maintenance of Big Data Clusters
Your Training Instructor
James Ring-Howell
Microsoft Certified Trainer | Microsoft Certified Developer | Database ExpertJames is a full-stack developer with over 40 years of experience. He has developed applications across all major industries and for Fortune 100 companies as well as local small businesses. James has also been teaching technology courses for over 20 years. In addition to his extensive background in technology, he has also worked as a professional opera singer.
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