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Traditional data warehousing is transitioning to be more cloud-based and this can be a key area that must be mastered for data science. In this course, you will discover how to configure Glue crawlers to work...
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Traditional data warehousing is transitioning to be more cloud-based and this can be a key area that must be mastered for data science. In this course, you will discover how to configure Glue crawlers to work with different data stores on AWS. Examine how to visualize the data stored in the data lake with AWS QuickSight and how to perform ETL operations on the data using Glue scripts.
Traditional data warehousing is transitioning to be more cloud-based and this can be a key area that must be mastered for data science. In this course, you will discover how to configure Glue crawlers to work with different data stores on AWS. Examine how to visualize the data stored in the data lake with AWS QuickSight and how to perform ETL operations on the data using Glue scripts.
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Produced by: SkillSoft
Traditional data warehousing is transitioning to be more cloud-based and this can be a key area that must be mastered for data science. In this course, you will discover how to build a data lake on the AWS...
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Traditional data warehousing is transitioning to be more cloud-based and this can be a key area that must be mastered for data science. In this course, you will discover how to build a data lake on the AWS cloud by storing data in S3 buckets and indexing this data using AWS Glue. Explore how to run crawlers to automatically crawl data in S3 to generate metadata tables in Glue.
Traditional data warehousing is transitioning to be more cloud-based and this can be a key area that must be mastered for data science. In this course, you will discover how to build a data lake on the AWS cloud by storing data in S3 buckets and indexing this data using AWS Glue. Explore how to run crawlers to automatically crawl data in S3 to generate metadata tables in Glue.
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Produced by: SkillSoft
To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing...
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To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing happens in a centralized data storage location. In this course you will explore the implementation of IoT on prominent cloud platforms like AWS and GCP. Discover how to work with IoT Device Simulator and generate data streams using MQTT.
To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing happens in a centralized data storage location. In this course you will explore the implementation of IoT on prominent cloud platforms like AWS and GCP. Discover how to work with IoT Device Simulator and generate data streams using MQTT.
[READ LESS]
Produced by: SkillSoft
To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing...
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To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing happens in a centralized data storage location. In this course you will exam the architecture of IoT solutions and the essential approaches of integrating data sources.
To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing happens in a centralized data storage location. In this course you will exam the architecture of IoT solutions and the essential approaches of integrating data sources.
[READ LESS]
Produced by: SkillSoft
Explore Python data structures and delve into the details of some of the basic data structures, such as linked lists, stacks, and queues.
Explore Python data structures and delve into the details of some of the basic data structures, such as linked lists, stacks, and queues.
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Produced by: SkillSoft
Begin by examining operations that have different values of time complexity. Then delve into the implementation of some of the basic data structures, such as linked lists, stacks, and queues in Python.
Begin by examining operations that have different values of time complexity. Then delve into the implementation of some of the basic data structures, such as linked lists, stacks, and queues in Python.
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Produced by: SkillSoft
Examine the Python implementation of common sorting algorithms such as Selection Sort, Bubble Sort, and Insertion Sort, as well as divide and conquer sorts such as Shell Sort, Merge Sort, and Quicksort.
Examine the Python implementation of common sorting algorithms such as Selection Sort, Bubble Sort, and Insertion Sort, as well as divide and conquer sorts such as Shell Sort, Merge Sort, and Quicksort.
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Produced by: SkillSoft
Discover how to implement trees and graphs and examine with the associated functions used to build and maintain these data structures in Python. In addition, explore algorithms for data structure traversal.
Discover how to implement trees and graphs and examine with the associated functions used to build and maintain these data structures in Python. In addition, explore algorithms for data structure traversal.
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Produced by: SkillSoft
Explore the workings of some of the most widely used sorting algorithms in Python and examine how their performance affects various measures.
Explore the workings of some of the most widely used sorting algorithms in Python and examine how their performance affects various measures.
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Produced by: SkillSoft
Examine the theory around graph and tree data structures in Python. Explore binary search trees, different graph representations, and traversal operations on these data structures.
Examine the theory around graph and tree data structures in Python. Explore binary search trees, different graph representations, and traversal operations on these data structures.
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Produced by: SkillSoft
Explore machine learning solutions provided by AWS and Microsoft. Compare the prominent tools and frameworks that can be used to implement machine learning and deep learning.
Explore machine learning solutions provided by AWS and Microsoft. Compare the prominent tools and frameworks that can be used to implement machine learning and deep learning.
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Produced by: SkillSoft
Explore the technology landscape and the tools used to implement data management. Discover how to use machine learning in data analytics and the capabilities of machine learning implementation in the cloud.
Explore the technology landscape and the tools used to implement data management. Discover how to use machine learning in data analytics and the capabilities of machine learning implementation in the cloud.
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Produced by: SkillSoft
C++ is a typed language, it is vital you understand how to correctly work with data. In this course you will explore the data types in C++, work with modifiers and operators, and learn how to manage flow...
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C++ is a typed language, it is vital you understand how to correctly work with data. In this course you will explore the data types in C++, work with modifiers and operators, and learn how to manage flow control in your C++ programs.
C++ is a typed language, it is vital you understand how to correctly work with data. In this course you will explore the data types in C++, work with modifiers and operators, and learn how to manage flow control in your C++ programs.
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Produced by: SkillSoft
This course outlines data visualization in Microsoft R, including basic principles and R functions used to create histograms, line plots, and bar charts. It also covers predictive analytics, including...
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This course outlines data visualization in Microsoft R, including basic principles and R functions used to create histograms, line plots, and bar charts. It also covers predictive analytics, including modeling techniques and key algorithms.
This course outlines data visualization in Microsoft R, including basic principles and R functions used to create histograms, line plots, and bar charts. It also covers predictive analytics, including modeling techniques and key algorithms.
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Produced by: SkillSoft
Examine architectures of data warehouse implementations, including logical and physical design. How to effectively implement and manage data warehousing projects is also covered.
Examine architectures of data warehouse implementations, including logical and physical design. How to effectively implement and manage data warehousing projects is also covered.
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Produced by: SkillSoft
Explore the fundamentals of data warehousing and the approaches of implementing it.
Explore the fundamentals of data warehousing and the approaches of implementing it.
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Produced by: SkillSoft
Discover how to use Azure Analysis Services and Power BI to prepare reports that can be used to analyze data in SQL Data Warehouse and Azure Data Lake.
Discover how to use Azure Analysis Services and Power BI to prepare reports that can be used to analyze data in SQL Data Warehouse and Azure Data Lake.
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Produced by: SkillSoft
Explore the fundamentals of data warehousing and the essential architectures and components being implemented to manage data.
Explore the fundamentals of data warehousing and the essential architectures and components being implemented to manage data.
[READ LESS]
Produced by: SkillSoft
Explore the fundamentals of data lakes and approaches for building and using data lakes. How to build and use an Azure Data Lake using Gen1 and Gen2 implementation approaches is also covered.
Explore the fundamentals of data lakes and approaches for building and using data lakes. How to build and use an Azure Data Lake using Gen1 and Gen2 implementation approaches is also covered.
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Produced by: SkillSoft
Explore the practical implementation of Azure SQL Data Warehouse. Examine how to design, model, and apply ELT approaches of extracting loads and transforming data.
Explore the practical implementation of Azure SQL Data Warehouse. Examine how to design, model, and apply ELT approaches of extracting loads and transforming data.
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Produced by: SkillSoft
Explore the advanced features of Azure Data Lakes with additional focus on managing various scenarios of data ingestion. Securing and tuning an Azure Data Lake for performance enhancement is also covered.
Explore the advanced features of Azure Data Lakes with additional focus on managing various scenarios of data ingestion. Securing and tuning an Azure Data Lake for performance enhancement is also covered.
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Produced by: SkillSoft
Explore how to create and utilize SQL Data Warehouse objects and work with T-SQL to implement tables of diversified categories.
Explore how to create and utilize SQL Data Warehouse objects and work with T-SQL to implement tables of diversified categories.
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Produced by: SkillSoft
This course covers the implementation of data warehousing in retail sales. Learners will learn to design and implement data warehousing solutions using Hive and PowerBI on HDInsight.
This course covers the implementation of data warehousing in retail sales. Learners will learn to design and implement data warehousing solutions using Hive and PowerBI on HDInsight.
[READ LESS]
Produced by: SkillSoft
Explore the fundamentals of Azure HDInsight and the essential architectural components.
Explore the fundamentals of Azure HDInsight and the essential architectural components.
[READ LESS]
Produced by: SkillSoft
Explore the Microsoft Analytics Platform System and using Hive to manage data from a data warehouse perspective.
Explore the Microsoft Analytics Platform System and using Hive to manage data from a data warehouse perspective.
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Produced by: SkillSoft