FreeCourseLab com Udemy - Apache Spark 2 0 Java DO Big Data Analytics & ML

1. 1. Kick-start your learning/1. Meet Your Mentor.mp45.54MB
2. 1. Kick-start your learning/2. Your learning Process - Learn, Train, Practice and Apply.mp46.05MB
3. 1. Kick-start your learning/3. Your Course Guide - Pathway to success.mp49.23MB
4. 2. Introduction to Apache Spark/1. Start your Spark Engines.mp413.43MB
5. 2. Introduction to Apache Spark/2. train Setup your SparkJava environment.mp419.13MB
6. 2. Introduction to Apache Spark/3. train Run your First Spark Java program.mp432.53MB
7. 2. Introduction to Apache Spark/4. Apache Spark eco-system.mp410.05MB
8. 2. Introduction to Apache Spark/5. RDD The foundation of Spark.mp49.1MB
9. 2. Introduction to Apache Spark/6. Spark Architecture - How it all works.mp418.72MB
10. 2. Introduction to Apache Spark/7. Spark Project work flow - How it gets done.mp46.57MB
11. 3. Spark Programming with Java/1. Loading and Storing Data.mp414.66MB
12. 3. Spark Programming with Java/10. Key-Value RDDs.mp47.28MB
13. 3. Spark Programming with Java/11. train Key-Value RDDs.mp424.21MB
14. 3. Spark Programming with Java/13. Advanced Spark.mp417.74MB
15. 3. Spark Programming with Java/14. train Advanced Spark - Enhanced Capabilities.mp421.7MB
16. 3. Spark Programming with Java/16. Connecting to Spark on a different Server.mp420.96MB
17. 3. Spark Programming with Java/2. train Loading and Storing Data.mp437.23MB
18. 3. Spark Programming with Java/4. Transformations - Change how data looks.mp416.2MB
19. 3. Spark Programming with Java/5. train Transformations.mp438.84MB
20. 3. Spark Programming with Java/7. Actions - Extract insights from Data.mp414.24MB
21. 3. Spark Programming with Java/8. train Actions.mp421.85MB
22. 4. Spark SQL/1. Spark SQL Data Frames - the new era.mp413.25MB
23. 4. Spark SQL/2. train SQL Data Frames.mp443.48MB
24. 4. Spark SQL/4. Temp Tables Views - Easy querying.mp44.57MB
25. 4. Spark SQL/5. train Temp Tables Views.mp413.4MB
26. 5. Spark Streaming/1. Spark Streaming - real time data processing.mp48.77MB
27. 5. Spark Streaming/2. Spark Streaming Architecture - How it works.mp412.1MB
28. 5. Spark Streaming/3. train Spark Streaming.mp434.57MB
29. 6. Machine Learning with Spark/1. Types of Analytics - Simple to Predictive.mp420.46MB
30. 6. Machine Learning with Spark/10. Random Forests Classification.mp417.88MB
31. 6. Machine Learning with Spark/11. train Random Forests and PCA Use Case.mp434.6MB
32. 6. Machine Learning with Spark/12. Text Pre-processing with TF-IDF.mp425.91MB
33. 6. Machine Learning with Spark/13. Naive Bayes Classification.mp434.14MB
34. 6. Machine Learning with Spark/14. train Naive Bayes and Text Pre-processing Use Case.mp421.94MB
35. 6. Machine Learning with Spark/15. K-Means Clustering - grouping similar items.mp420.57MB
36. 6. Machine Learning with Spark/16. train K-Means Clustering Use Case.mp426.05MB
37. 6. Machine Learning with Spark/17. Recommendation Engines.mp420.61MB
38. 6. Machine Learning with Spark/18. train Recommendations Engines Use Case.mp412.24MB
39. 6. Machine Learning with Spark/2. Types of Machine Learning.mp429.11MB
40. 6. Machine Learning with Spark/3. Analyzing Results and Errors.mp423.83MB
41. 6. Machine Learning with Spark/4. Spark ML Concepts - new data types.mp413.39MB
42. 6. Machine Learning with Spark/5. Linear Regression - fit to a line.mp432.97MB
43. 6. Machine Learning with Spark/6. train Linear Regression Use Case.mp438.96MB
44. 6. Machine Learning with Spark/7. Decision Trees Classification.mp418.45MB
45. 6. Machine Learning with Spark/8. train Decision Trees Use Case.mp435.62MB
46. 6. Machine Learning with Spark/9. Principal Component Analysis.mp412.54MB
47. 7. APPLY - Your Course Challenge Project/3. Final Solution Review - we did it !.mp442.71MB
48. 8. Conclusion/1. Closing Remarks.mp42.14MB