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Databricks Project Readiness

2 modules
9 Hours 30 Minutes
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Overview

This project readiness path equips you with essential skills to handle data harmonization and manage semi-structured data using Databricks. Dive deep into techniques for unifying data from disparate sources, standardizing formats, and creating cohesive data sets ready for analysis. You’ll gain expertise in transforming and querying semi-structured data formats like JSON, Avro, and XML, and leverage Databricks’ powerful tools to simplify complex workflows. Through hands-on projects, you’ll learn to integrate, clean, and prepare data effectively, positioning you to tackle real-world data challenges and drive impactful insights.

Skill path

bf5227a1-64f2-4bd0-afee-0c605cca27eb_83d04ac6-cb74-4a96-a06a-e0d5442aa126_scenario-databricks-pyspark.webp Skill path cover imageScenario

Handling Semi Structured Data using Databricks

e-commerce
data-storage
data-wrangling
data-understanding
databricks
spark
02h
d09ea2fb-dc19-4085-b783-1385f31ed11a_83d04ac6-cb74-4a96-a06a-e0d5442aa126_Databricks_Poster.webp Skill path cover imageProject

Harmonizing Data and Tackling Quality Challenges for Leading Insurance Firm

insurance
batch-etl
cloud-management
data-wrangling
databricks
data-storage
data-quality
07h 30m

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