What you'll get
- 8+ Hours
- 4 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Students receive lifetime access to all course videos, allowing them to learn at their own pace.
- The course offers over 8 hours of detailed video content.
- Learners will develop a solid grasp of Apache Sqoop, covering its key concepts, hands-on applications, and methods for moving data between relational databases and Hadoop.
- The course content is accessible for one year.
- This course is ideal for individuals who are serious about building a career in Hadoop or Apache Sqoop.
- Basic knowledge of Hadoop is recommended but not mandatory.
- Participants will receive a certificate upon completing the course.
- Certificates are verifiable and come with unique links for each course and project, which can be shared on resumes or LinkedIn profiles to showcase newly acquired skills.
- The training is delivered through self-paced video learning, enabling flexible study schedules.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Sqoop | 1h 28m | ✔ | View Curriculum |
| Sqoop Project #1 | 2h 15m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Project on Sqoop-HR Analytics Using Sqoop | 2h 15m | ✔ | View Curriculum |
| Hadoop Project:11 - HIVE/PIG/MapReduce/Sqoop - Social Media Analysis | 3h 34m | ✔ | View Curriculum |
Description
Apache Sqoop is a powerful tool that simplifies data transfer between relational databases and Hadoop ecosystems. This course provides over 8 hours of self-paced video lessons that guide learners through the essential concepts, features, and real-world applications of Apache Sqoop. Participants will gain practical experience in efficiently importing and exporting large datasets, optimizing data workflows, and integrating Sqoop with other Hadoop components such as Hive and HDFS.
The course is ideal for anyone looking to build a career in data engineering, big data, or Hadoop administration, with basic Hadoop knowledge recommended for a smoother learning experience. Learners will have lifetime access to all course materials, enabling them to revisit topics and learn at their own pace. Upon completion, participants will receive verifiable Course Completion Certificates that can be shared on resumes and LinkedIn profiles to showcase their enhanced skills.
By the end of this course, learners will be equipped with the knowledge and hands-on skills to handle data transfer challenges in enterprise environments, enabling them to leverage Apache Sqoop for real-world big data projects confidently.
Sample Certificate
Requirements
- A basic understanding of command-line operations is recommended, as learners will interact with Sqoop through the command line.
- Familiarity with Hadoop fundamentals, including how data is stored and managed within the Hadoop ecosystem, is recommended.
- Basic knowledge of databases is important, as the course involves importing data from relational database systems.
- Awareness of these foundational concepts will help learners grasp the course content and work effectively with Apache Sqoop.
Target Audience
- Individuals eager to learn Apache Sqoop, either to expand their existing knowledge or to start a career in this technology.
- Professionals with experience in other technologies who wish to transition into Sqoop and learn it from basic to advanced levels.
- Hadoop practitioners working in other verticals who want to gain expertise in Sqoop and master advanced concepts.
- Trainers already teaching Hadoop who want to add Sqoop to their skill set and train others effectively after completing the course.
