This course was last updated on 2/2022.
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.
✓ In this course you will implement Spark Machine Learning Project House Sale Price Prediction in Apache Spark using Databricks Notebook(Community edition server)
✓ Launching Apache Spark Cluster
✓ Process that data using a Machine Learning model (Spark ML Library)
✓ Hands-on learning
✓ Create a Data Pipeline
✓ Real-time Use Case
✓ Publish the Project on Web to Impress your recruiter
✓ Graphical Representation of Data using Databricks notebook.
✓ Transform structured data using SparkSQL and DataFrames
• Apache Spark basic and Scala fundamental knowledge is required and SQL Basics
• Following browsers on Windows, Linux or macOS desktop:
• Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)
• Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)
• *You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
• The following browsers are not supported:
• Mobile browsers.
• Beta, “preview,” or otherwise pre-release versions of desktop browsers.
• Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist
The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
YES, Spark Machine Learning Project (House Sale Price Prediction) has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.
Bigdata Engineer has created 25 courses that got 471 reviews which are generally positive. Bigdata Engineer has taught 37,318 students and received a 3.5 average review out of 471 reviews. Depending on the information available, we think that Bigdata Engineer is an instructor that you can trust.
I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes
My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.
Responsibilities includes,
– Support all Hadoop related issues- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies- Analyse and Define pros and cons of various technologies and platforms- Define use cases, solutions and recommendations- Define Big Data strategy- Perform detailed analysis of business problems and technical environments- Define pragmatic Big Data solution based on customer requirements analysis- Define pragmatic Big Data Cluster recommendations- Educate customers on various Big Data technologies to help them understand pros and cons of Big Data- Data Governance- Build Tools to improve developer productivity and implement standard practices
I am sure the knowledge in these courses can give you extra power to win in life.
All the best!!
