Cloud Hadoop
Scaling Apache Spark
Advance Your Skills as an Apache Spark Specialist,
Apache Hadoop and Spark make it possible to generate genuine business insights from big data. The Amazon cloud is natural home for this powerful toolset, providing a variety of services for running large-scale data-processing workflows. Learn to implement your own Apache Hadoop and Spark workflows on AWS in this course with big data architect Lynn Langit. Explore deployment options for production-scaled jobs using virtual machines with EC2, managed Spark clusters with EMR, or containers with EKS. Learn how to configure and manage Hadoop clusters and Spark jobs with Databricks, and use Python or the programming language of your choice to import data and execute jobs. Plus, learn how to use Spark libraries for machine learning, genomics, and streaming. Each lesson helps you understand which deployment option is best for your workload.
Contents:
- Introduction
- 1. Hadoop and Spark Fundamentals
- 2. AWS Cloud Spark Environments
- 3. Spark Basics
- 4. Using Spark
- 5. Spark Libraries
- 6. Spark Streaming
- 7. Scaling Spark on AWS and GCP
- Conclusion
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| Rating | Not enough ratings |
|---|---|
| Length | 3h 13m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Lynn Langit |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science |
| Tags | Big Data Hadoop Amazon Web Services (AWS) Apache Spark Hadoop Administration |
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| Rating | Not enough ratings |
|---|---|
| Length | 3h 13m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Lynn Langit |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science |
| Tags | Big Data Hadoop Amazon Web Services (AWS) Apache Spark Hadoop Administration |
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