docs: Add smartbrevity overview materials for Data Engineering Boot …

[jcbowyer]

Pull Request Description

Summary This pull request adds multiple markdown files and updates the repository structure to include detailed materials for a 6-week data engineering boot camp. The changes include new content for various weeks, covering topics such as data modeling, Spark fundamentals, Apache Flink training, and more.

Changes

New Files Added:

• week_0_6week_free_data_engineering_boot_camp_kick_off_and_informational.md
• week_1_d1_intro_data_modeling_complex_data_types_and_cumulation.md
• week_1_d1_lab_data_modeling_cumulative_dimensions_struct_and_array.md
• week_1_d2_intro_data_modeling_slowly_changing_dimensions_and_idempotency.md
• week_1_d2_lab_data_modeling_building_slowly_changing_dimensions_scds.md
• week_1_d3_intro_data_modeling_graph_databases_additive_dimensions.md
• week_1_w_free_boot_camp_live_stream.md
• week_2_how_meta_models_big_volume_event_data.md
• week_2_w_free_boot_camp_live_black_friday.md
• week_3_build_a_gold_pipeline_like_airbnb_midas_process.md
• week_3_high_performance_spark_dataframe_dataset_udfs_caching.md
• week_3_master_data_contracts.md
• week_3_spark_iceberg_memory_tuning_joins_partition.md
• week_3_testing_apache_spark_jobs_in_cicd.md
• week_3_w3_free_boot_camp_live_stream.md
• week_4_data_engineer_design_patterns_at_meta_growth_accounting.md
• week_4_w4_free_boot_camp_live.md
• week_6_build_datadriven_business_value_with_tableau_viz.md
• week_6_maintain_data_pipelines_like_netflix_and_airbnb.md
• week_6_new_year_and_free_boot_camp_wrap_up_live.md
• week_end_additional_jobready_capstone_projects_for_analytics_engineering.md
• week_end_additional_master_realtime_data_pipelines_with_kafka_and_flink.md

Updated Directory Structure:

Added new directories and files under materials to organize the content for each week of the boot camp. Content Updates:

• Added detailed instructions, examples, and exercises for each topic covered in the boot camp.
• Included relevant text excerpts and code snippets to enhance the learning experience.

How to Test

• Clone the repository and navigate to the root directory.
• Review the new markdown files under materials to ensure the content is accurate and well-organized.
• Verify that all links and references within the markdown files are working correctly.
• Ensure that the new directory structure is consistent with the existing organization of the repository.

Additional Notes This pull request aims to provide comprehensive materials for a 6-week data engineering boot camp, covering a wide range of topics essential for aspiring data engineers. Feedback and suggestions for improvement are welcome to enhance the quality and effectiveness of the boot camp materials.