Big Data Analyst -using Sqoop and Advance Hive (CCA159)
Why take this course?
🌟 Course Title: Big Data Analyst - Using Sqoop and Advanced Hive (CCA159)
🎓 Headline: Become a Big Data Analyst using Hive and Sqoop 🚀
Perfect for: 👩💼 Business Analysts, Testers, SQL Developers, and anyone looking to master big data with Hadoop!
Course Description:
Embark on a journey to become a Big Data Analyst by mastering Hadoop, Sqoop, and Advanced Hive. This comprehensive course is tailored for individuals who aim to leverage the power of big data tools and technologies in their professional roles. 💻
What You'll Learn:
1️⃣ Understanding Hadoop Ecosystem:
- Get acquainted with the core components of Hadoop, including the Hadoop Distributed File System (HDFS).
- Grasp the essential Hadoop commands necessary for interacting with HDFS.
2️⃣ Data Migration with Sqoop:
- Dive into the Sqoop command lifecycle and learn how to migrate data from relational databases like MySQL to HDFS or Hive.
- Master importing data with various file formats, compressions, file delimiters, where clauses, and queries.
- Understand split-by and boundary queries to ensure efficient data migration.
- Explore the incremental mode for updating existing data in HDFS from a MySQL database.
3️⃣ Exporting Data with Sqoop:
- Learn how to migrate data from HDFS or Hive back to relational databases like MySQL using Sqoop export.
- Understand the nuances and practical applications of Sqoop export commands.
4️⃫ Advanced Hive Techniques:
- Gain a deep understanding of Apache Hive's advanced features.
- Work with external and managed tables, and learn how to perform insert operations and use multi-insert functionalities.
- Explore Hive's complex data types, collection functions, conditional functions, string functions, and date functions.
- Utilize mathematical functions, analysis tools, alter commands, and join operations, including map joins and windowing functions like rank/dense rank/lead/lag, min/max, etc.
- Understand advanced concepts such as compressions, partitioning, bucketing, views, lateral views/explode, and much more!
Why Choose This Course?
- Industry-Relevant Skills: Equip yourself with the skills that are in high demand by employers.
- Real-World Application: Learn through practical examples and case studies that reflect real-world scenarios.
- Expert Instructor: Be guided by an experienced instructor who is a specialist in Big Data Analytics.
- Hands-On Learning: Engage with interactive exercises and projects that will solidify your understanding of the concepts.
By the end of this course, you'll be equipped to handle large datasets with ease using Sqoop for data migration and Advanced Hive for analysis, positioning yourself as a valuable asset in the field of Big Data Analytics. 📈
Enroll now and unlock your potential as a Big Data Analyst! 💡
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