547.2 MB | 00:08:09 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 - Data lakes, lakehouses, and more  (2.74 MB)
02 - What you should know  (2.4 MB)
03 - Capstone project preview  (4.98 MB)
01 - What is a data lake  (7.82 MB)
02 - Origins and evolution  (6.42 MB)
03 - Architecture core components  (8.01 MB)
04 - Data lake vs  data warehouse  (5.97 MB)
05 - Data lake vs  data mesh  (5.53 MB)
01 - Storage types  (5.67 MB)
02 - Storage hosting  (6.06 MB)
03 - Storage solutions S3, GCS and Azure Blob Storage and HDFS  (6.85 MB)
04 - Folder structures  (6.91 MB)
05 - File formats  (4.96 MB)
06 - Data compression  (6.24 MB)
07 - Data partitioning  (10.23 MB)
01 - Data ingestion methods  (5.85 MB)
02 - ETL vs  ELT  (4.83 MB)
03 - Data transformation  (5.81 MB)
04 - Data quality  (8.01 MB)
05 - Error handling, logging, and monitoring  (7.72 MB)
06 - Orchestration  (10 MB)
07 - Data ingestion platforms  (7.39 MB)
01 - Introduction to data management and governance  (5.53 MB)
02 - Metadata management  (4.49 MB)
03 - Data cataloging  (4.89 MB)
04 - Data lineage  (2.88 MB)
05 - Data security, privacy, and compliance  (5.27 MB)
06 - Data management tools and platforms  (7.7 MB)
01 - What is a data lakehouse  (8.48 MB)
02 - ACID transactions  (6.71 MB)
03 - Schema management  (8.22 MB)
04 - Table formats Delta Lake, Apache Iceberg, Apache Hudi  (8.27 MB)
01 - Introduction to data consumption  (10.28 MB)
02 - Unified data analysis Spark  (6.58 MB)
03 - SQL on Hadoop Hive and Impala  (5.63 MB)
04 - Interactive query engines Presto and Trino  (5.71 MB)
05 - Data indexing  (6.57 MB)
06 - Optimizing query performance  (10.3 MB)
07 - Data consumption security considerations  (8.06 MB)
01 - Unified analytics platforms Databricks and Snowflake  (6.58 MB)
02 - Cloud data warehouses BigQuery, Azure Synapse, and Redshift  (7.22 MB)
03 - Self-service data platforms Dremio and Starburst  (6.2 MB)
04 - Interactive notebooks Jupyter, Zeppelin, Databricks  (8.65 MB)
05 - BI tools Tableau, Power BI, Superset, Metabase  (6.84 MB)
06 - APIs and services for data consumption  (5.9 MB)
01 - Capstone project overview  (12.96 MB)
02 - Data model overview  (4.34 MB)
03 - Project installation and code walkthrough  (12.31 MB)
04 - Infrastructure setup  (12.07 MB)
05 - Raw data ingestion  (24.78 MB)
06 - Transformation models overview  (8.9 MB)
07 - Solution Build a data model with SQL  (2.78 MB)
08 - Executing data transformations  (8.28 MB)
09 - Data orchestration  (8.51 MB)
01 - Dremio walkthrough  (5.44 MB)
02 - Executing queries and creating virtual datasets  (9.93 MB)
03 - Creating complex virtual datasets using SQL  (7.16 MB)
04 - Connecting Dremio to Apache Superset  (4.44 MB)
05 - Creating a marketing dashboard  (20.15 MB)
06 - Connecting Dremio to Jupyter Notebook  (10.9 MB)
07 - Advanced product reviews analytics  (23.67 MB)
08 - Solution Vehicle health analytics in Jupyter  (9.29 MB)
01 - Introduction to LLMs and vector embeddings Llama  (6.63 MB)
02 - Introduction to RAG (retrieval-augmented generation)  (2.51 MB)
03 - Introduction to vector databases Chroma  (3.49 MB)
04 - What is Langchain  (1.79 MB)
05 - Generative AI project overview Sales copilot  (7.58 MB)
06 - Installation and code walkthrough  (10.92 MB)
07 - Project execution Using the copilot  (24.53 MB)
01 - Recap and key takeaways  (3.24 MB)
02 - Next steps on your data journey  (2.85 MB)
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