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Pankaj Jain
Moving data between databases and schemas is an important need in today's data-centric world. In this course, you will learn the various tools and methods to get data in and out of Oracle quickly and efficiently in several popular formats.
Read more
Moving data between databases and schemas is an important need in today's data-centric world. In this course, you will learn the various tools and methods to get data in and out of Oracle quickly and efficiently in several popular formats.
Read more
Moving data between databases and schemas is an important need in today's data-centric world. In this course, you will learn the various tools and methods to get data in and out of Oracle quickly and efficiently in several popular formats.
Today, more then ever, data is central to any organization to provide useful insights and competitive advantages. There is also a growing need to move data around, from one database to another or within schemas of the same database, for better analysis, testing, and review. Data warehouses are crucial for predictive analysis, and the need to have efficient tools to extract, transform, and load data in these environments is extremely important. In this course, you will learn how to get data quickly and efficiently in and out of Oracle using popular formats like Excel, XML, JSON, plain insert scripts, and SQL loader format, among others. We will learn about the flexible SQL*Loader tool and its powerful direct path option which can improve load performance by orders of magnitude. We will explore the powerful External table feature, which allows you to query data in external data files using the power of SQL and PL/SQL. After taking this course, as a database developer you should be well equipped with the skills and knowledge to perform data transfer tasks effectively.
Register for this course and see more details by visiting:
OpenCourser.com/course/4sf8wn/importing
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What's inside
Syllabus
Course Overview
Overview
Exporting Data Using SQL Developer
Importing Data Using SQL Developer
Read more
Syllabus
Course Overview
Overview
Exporting Data Using SQL Developer
Importing Data Using SQL Developer
Read more
Querying Flat Files Using External Tables
Importing Data Using SQL*Loader
SQL*Loader - External Table & Direct Path
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills and techniques for data extraction, transformation, and loading, which are essential for analysis and reporting
Taught by Pankaj Jain, a recognized expert in Oracle data management
Covers a wide range of data formats, including Excel, XML, JSON, and SQL loader format
Explores the powerful External table feature, allowing for efficient querying of data in external files
Provides hands-on practice with SQL*Loader, a flexible tool for efficient data loading
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Importing and Exporting Oracle Data for Developers with these
activities:
Review fundamental concepts of relational database management
Show steps
Refreshing your knowledge of relational database concepts will provide a strong foundation for understanding data import and export techniques.
Show steps
-
Review lecture notes or online resources on relational database concepts such as tables, relationships, and normalization.
-
Complete practice exercises to reinforce your understanding of data modeling and query optimization.
Review introductory textbook on data management
Show steps
Reviewing this foundational text will refresh your understanding of basic data management concepts that will be covered throughout the course.
Show steps
-
Read chapters 1-5 to establish an understanding of core data concepts, database design, and database models.
-
Complete the end-of-chapter exercises to test your comprehension of the material.
Form a study group with classmates to discuss course concepts and practice data management tasks
Show steps
Fosters collaboration and deepens understanding through peer interaction
Show steps
-
Identify classmates with similar interests or schedules
-
Set up regular study sessions
-
Discuss course material, share insights, and practice data management techniques
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Explore online tutorials on data manipulation techniques
Show steps
Following structured tutorials will provide you with additional guidance and reinforce your understanding of data manipulation techniques.
Browse courses on
Data Manipulation
Show steps
-
Identify reputable online platforms offering tutorials on SQL, data cleaning, and data manipulation.
-
Select tutorials that align with the course topics and your skill level.
-
Follow the tutorials step-by-step, taking notes and practicing the techniques demonstrated.
Organize and review course notes and materials
Show steps
Organizing and reviewing course materials will solidify your understanding and aid in long-term retention.
Show steps
-
Gather all course notes, lecture slides, assignments, and other relevant materials.
-
Create a system for organizing the materials, such as folders or a digital notebook.
-
Review the materials regularly, highlighting important points and summarizing key concepts.
Attend a workshop on Oracle data management best practices
Show steps
Provides insights and practical guidance from industry experts
Browse courses on
Oracle
Show steps
-
Research and identify a relevant workshop
-
Register for and attend the workshop
-
Actively participate in discussions and exercises
Practice SQL queries on sample datasets
Show steps
Getting hands-on practice with SQL queries will enhance your ability to extract data efficiently.
Browse courses on
SQL Queries
Show steps
-
Download sample datasets from reputable sources like Kaggle or UCI Machine Learning Repository.
-
Use a database management tool like MySQL Workbench or PostgreSQL to create a database and import the datasets.
-
Write SQL queries to retrieve data based on specific criteria and conditions.
-
Analyze the results and ensure they align with the expected outcomes.
-
Repeat the process with different datasets and query types to strengthen your proficiency.
Follow a tutorial on using the SQL*Loader Direct Path option
Show steps
Provides hands-on experience with a crucial Oracle data loading technique
Show steps
-
Find a reputable tutorial on the SQL*Loader Direct Path option
-
Follow the tutorial step-by-step
-
Test the optimized data loading process
Form a study group with classmates
Show steps
Engaging in peer-led discussions will enhance your understanding and provide diverse perspectives on course topics.
Show steps
-
Identify classmates who share your interests and are willing to collaborate.
-
Establish a regular meeting schedule and agenda to guide your discussions.
-
Take turns presenting concepts, leading discussions, and facilitating problem-solving exercises.
Complete a mock ETL pipeline project using SQL*Loader
Show steps
Reinforces understanding of ETL pipeline by implementing it in a practical setting
Browse courses on
Data Extraction
Show steps
-
Design a schema for the target database
-
Extract data from source system using SQL*Loader
-
Transform data as needed
-
Load data into target database
Attend a workshop on advanced data analysis techniques
Show steps
Workshops provide an immersive environment to learn advanced data analysis techniques that complement the course material.
Browse courses on
Advanced Data Analysis
Show steps
-
Research and identify workshops that focus on topics relevant to the course, such as machine learning or data mining.
-
Register for the workshop and prepare by reviewing relevant course materials.
-
Actively participate in the workshop, taking notes and engaging in discussions.
-
Follow up after the workshop by applying the techniques learned to your own projects.
Develop a data migration plan for a specific business scenario
Show steps
Applies concepts of data transfer and transformation to a real-world scenario
Browse courses on
Data Migration
Show steps
-
Identify the source and target data systems
-
Analyze data requirements and map data fields
-
Design the ETL process, including data extraction, transformation, and loading
-
Document the data migration plan
Write a blog post or article summarizing key concepts of Oracle data transfer and transformation
Show steps
Solidifies understanding by requiring clear articulation of concepts
Browse courses on
Oracle
Show steps
-
Research and gather information on the topic
-
Organize and outline the content
-
Write a draft and seek feedback
-
Finalize and publish the blog post or article
Build a data import-export dashboard
Show steps
Creating a dashboard that demonstrates data import-export techniques will reinforce your understanding and provide a valuable tool for future projects.
Browse courses on
Data Import and Export
Show steps
-
Choose a dashboard tool such as Tableau or Power BI.
-
Design the dashboard layout, including widgets and visualizations to display imported and exported data.
-
Connect the dashboard to data sources and configure data import and export functionality.
-
Test the dashboard to ensure seamless data transfer and accurate visualizations.
Review fundamental concepts of relational database management
Show steps
Refreshing your knowledge of relational database concepts will provide a strong foundation for understanding data import and export techniques.
Show steps
Show steps
Show steps
- Review lecture notes or online resources on relational database concepts such as tables, relationships, and normalization.
- Complete practice exercises to reinforce your understanding of data modeling and query optimization.
Review introductory textbook on data management
Show steps
Reviewing this foundational text will refresh your understanding of basic data management concepts that will be covered throughout the course.
Show steps
Show steps
Show steps
- Read chapters 1-5 to establish an understanding of core data concepts, database design, and database models.
- Complete the end-of-chapter exercises to test your comprehension of the material.
Form a study group with classmates to discuss course concepts and practice data management tasks
Show steps
Fosters collaboration and deepens understanding through peer interaction
Show steps
Show steps
Show steps
- Identify classmates with similar interests or schedules
- Set up regular study sessions
- Discuss course material, share insights, and practice data management techniques
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Explore online tutorials on data manipulation techniques
Show steps
Following structured tutorials will provide you with additional guidance and reinforce your understanding of data manipulation techniques.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Identify reputable online platforms offering tutorials on SQL, data cleaning, and data manipulation.
- Select tutorials that align with the course topics and your skill level.
- Follow the tutorials step-by-step, taking notes and practicing the techniques demonstrated.
Organize and review course notes and materials
Show steps
Organizing and reviewing course materials will solidify your understanding and aid in long-term retention.
Show steps
Show steps
Show steps
- Gather all course notes, lecture slides, assignments, and other relevant materials.
- Create a system for organizing the materials, such as folders or a digital notebook.
- Review the materials regularly, highlighting important points and summarizing key concepts.
Attend a workshop on Oracle data management best practices
Show steps
Provides insights and practical guidance from industry experts
Browse courses on
Oracle
Show steps
Show steps
Show steps
- Research and identify a relevant workshop
- Register for and attend the workshop
- Actively participate in discussions and exercises
Practice SQL queries on sample datasets
Show steps
Getting hands-on practice with SQL queries will enhance your ability to extract data efficiently.
Browse courses on
SQL Queries
Show steps
Show steps
Show steps
- Download sample datasets from reputable sources like Kaggle or UCI Machine Learning Repository.
- Use a database management tool like MySQL Workbench or PostgreSQL to create a database and import the datasets.
- Write SQL queries to retrieve data based on specific criteria and conditions.
- Analyze the results and ensure they align with the expected outcomes.
- Repeat the process with different datasets and query types to strengthen your proficiency.
Follow a tutorial on using the SQL*Loader Direct Path option
Show steps
Provides hands-on experience with a crucial Oracle data loading technique
Show steps
Show steps
Show steps
- Find a reputable tutorial on the SQL*Loader Direct Path option
- Follow the tutorial step-by-step
- Test the optimized data loading process
Form a study group with classmates
Show steps
Engaging in peer-led discussions will enhance your understanding and provide diverse perspectives on course topics.
Show steps
Show steps
Show steps
- Identify classmates who share your interests and are willing to collaborate.
- Establish a regular meeting schedule and agenda to guide your discussions.
- Take turns presenting concepts, leading discussions, and facilitating problem-solving exercises.
Complete a mock ETL pipeline project using SQL*Loader
Show steps
Reinforces understanding of ETL pipeline by implementing it in a practical setting
Browse courses on
Data Extraction
Show steps
Show steps
Show steps
- Design a schema for the target database
- Extract data from source system using SQL*Loader
- Transform data as needed
- Load data into target database
Attend a workshop on advanced data analysis techniques
Show steps
Workshops provide an immersive environment to learn advanced data analysis techniques that complement the course material.
Browse courses on
Advanced Data Analysis
Show steps
Show steps
Show steps
- Research and identify workshops that focus on topics relevant to the course, such as machine learning or data mining.
- Register for the workshop and prepare by reviewing relevant course materials.
- Actively participate in the workshop, taking notes and engaging in discussions.
- Follow up after the workshop by applying the techniques learned to your own projects.
Develop a data migration plan for a specific business scenario
Show steps
Applies concepts of data transfer and transformation to a real-world scenario
Browse courses on
Data Migration
Show steps
Show steps
Show steps
- Identify the source and target data systems
- Analyze data requirements and map data fields
- Design the ETL process, including data extraction, transformation, and loading
- Document the data migration plan
Write a blog post or article summarizing key concepts of Oracle data transfer and transformation
Show steps
Solidifies understanding by requiring clear articulation of concepts
Browse courses on
Oracle
Show steps
Show steps
Show steps
- Research and gather information on the topic
- Organize and outline the content
- Write a draft and seek feedback
- Finalize and publish the blog post or article
Build a data import-export dashboard
Show steps
Creating a dashboard that demonstrates data import-export techniques will reinforce your understanding and provide a valuable tool for future projects.
Browse courses on
Data Import and Export
Show steps
Show steps
Show steps
- Choose a dashboard tool such as Tableau or Power BI.
- Design the dashboard layout, including widgets and visualizations to display imported and exported data.
- Connect the dashboard to data sources and configure data import and export functionality.
- Test the dashboard to ensure seamless data transfer and accurate visualizations.
Career center
Learners who complete Importing and Exporting Oracle Data for Developers will develop knowledge and skills
that may be useful to these careers:
ETL Developer
ETL Developer
An ETL Developer is an individual who builds and maintains data pipelines. They use a variety of tools and technologies to extract, transform, and load data from one system to another. Course materials on importing and exporting Oracle data can help build a foundation for you to build efficient ETL pipelines specifically using Oracle products.
Data Engineer
Data Engineer
A Data Engineer is an individual who designs, builds, and maintains data pipelines. They work with data analysts and data scientists to ensure that data is available in the right format and at the right time for analysis and modeling. Course materials on importing and exporting Oracle data can help build a foundation for you to design efficient data pipelines that can manage various formats and needs.
Data Integration Specialist
Data Integration Specialist
A Data Integration Specialist is an individual who designs and builds data integration solutions. They work with a variety of tools and technologies to integrate data from multiple sources into a single, unified view. Course materials on importing and exporting Oracle data can help build a foundation for Data Integration Specialists to design and build data integration solutions that can handle specifically Oracle data.
Data Warehouse Developer
Data Warehouse Developer
A Data Warehouse Developer is an individual who designs and builds data warehouses. They work with data architects and data engineers to create data warehouses that can store and analyze large amounts of data. Course materials on importing and exporting Oracle data can help build a foundation for you to design and build data warehouses that store and analyze data specifically in Oracle.
Database Architect
Database Architect
A Database Architect is an individual who designs and builds database systems. They work with database administrators and data engineers to create database systems that can meet the needs of businesses and consumers. Course materials on importing and exporting Oracle data can help build a foundation for Database Architects to design and build scalable database systems that can manage and process various data formats.
Database Administrator
Database Administrator
A Database Administrator is an individual who manages and maintains databases. They ensure that databases are up and running, that data is protected, and that databases are performing optimally. Course materials on importing and exporting Oracle data can help build a foundation for you to manage and maintain databases with various needs, especially with regard to keeping data safe and accessible.
BI Developer
BI Developer
A BI Developer is an individual who builds and maintains business intelligence (BI) systems. They use a variety of tools and technologies to create BI dashboards and reports that help businesses understand their performance and make better decisions. Course materials on importing and exporting Oracle data can help build a foundation for BI Developers to create BI dashboards and reports that specifically use Oracle data.
Data Analyst
Data Analyst
A Data Analyst is an individual who uses data to make better decisions. They clean, analyze, and interpret data to create visualizations, reports, and other insights that help businesses understand their customers, improve their operations, and make better decisions. Course materials on importing and exporting Oracle data can help build a foundation for you to use data to make better decisions through practical examples.
Data Quality Analyst
Data Quality Analyst
A Data Quality Analyst is an individual who assesses and improves the quality of data. They work with data engineers and data scientists to identify and correct errors in data. Course materials on importing and exporting Oracle data can help build a foundation for Data Quality Analysts to understand the importance of data quality, especially as data is being moved around.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst is an individual who develops and implements data governance policies and procedures. They work with data owners and data users to ensure that data is used in a consistent and ethical manner. Course materials on importing and exporting Oracle data can help build a foundation for Data Governance Analysts to understand data management and governance best practices in Oracle environments where data is being moved around.
Data Scientist
Data Scientist
A Data Scientist is an individual who uses data to build models that can make predictions and solve problems. They use a variety of statistical and machine learning techniques to identify patterns in data and create models that can be used to make decisions.
Business Analyst
Business Analyst
A Business Analyst is an individual who works with businesses to identify and solve problems. They use data analysis, process modeling, and other techniques to help businesses improve their performance. Course materials on importing and exporting Oracle data can help build a foundation for Business Analysts to understand data pipelines and data management.
Information Security Analyst
Information Security Analyst
An Information Security Analyst is an individual who protects data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with IT professionals and business leaders to identify and mitigate security risks. Course materials on importing and exporting Oracle data may be useful for Information Security Analysts who need to understand how data is moved around and how to protect it while doing so.
Software Engineer
Software Engineer
A Software Engineer is an individual who designs, builds, and maintains software applications. They work with a variety of programming languages and technologies to create software that meets the needs of businesses and consumers. Course materials on importing and exporting Oracle data may be useful for Software Engineers who need to work with Oracle databases.
Statistician
Statistician
A Statistician is an individual who uses data to make inferences about a population. They use a variety of statistical techniques to analyze data and draw conclusions. Course materials on importing and exporting Oracle data may be useful for Statisticians who need to work with Oracle databases.
For more career information including salaries, visit:
OpenCourser.com/course/4sf8wn/importing
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Importing and Exporting Oracle Data for Developers.
Save
This official guide from Oracle provides comprehensive documentation on using SQL*Loader, a powerful tool for importing data into Oracle databases. It covers all aspects of data import, from file preparation to loading techniques.
Save
This comprehensive guide to SQL*Loader covers advanced techniques and best practices for importing data into Oracle databases. It's a valuable resource for experienced database professionals looking to optimize their data loading processes.
Covers day-to-day DBA tasks, including importing and exporting data in Oracle. It's a valuable reference for Oracle DBAs looking to expand their knowledge.
Provides an overview of data warehousing and business intelligence concepts in Oracle. It's a good starting point for understanding the role of data import and export in these contexts.
Save
Provides an overview of Oracle GoldenGate, a tool for real-time data replication and data integration. It includes chapters on using GoldenGate for data export and import operations.
Save
Provides an overview of security concepts in Oracle databases. It includes a chapter on data security, which covers methods for protecting data during import and export operations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4sf8wn/importing
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Time
213 hours
Level
Introductory
Via
Pluralsight
Instructor
Pankaj Jain
Language
English
Good to know
Develops skills and techniques for data extraction, transformation, and loading, which are essential for analysis and reporting
Taught by Pankaj Jain, a recognized expert in Oracle data management
Covers a wide range of data formats, including Excel, XML, JSON, and SQL loader format
Explores the powerful External table feature, allowing for efficient querying of data in external files
Provides hands-on practice with SQL*Loader, a flexible tool for efficient data loading
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