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O'Reilly - An Introduction to Time Series with Team Apache

  • 收录时间:2018-03-08 05:29:32
  • 文件大小:1GB
  • 下载次数:98
  • 最近下载:2021-01-17 20:49:55
  • 磁力链接:

文件列表

  1. 013_cassandra_query_language_cql.mp4 98MB
  2. 012_cassandra_weather_website_example.mp4 61MB
  3. 011_replication_high_availability_and_multi_datacenter.mp4 60MB
  4. 015_cassandra_read_and_write_path.mp4 58MB
  5. 004_introduction_to_spark.mp4 58MB
  6. 022_real_world_use_cases_inplace_analytic_problems.mp4 57MB
  7. 021_real_world_use_cases_streaming_problems.mp4 56MB
  8. 016_working_with_cassandra.mp4 51MB
  9. 009_introduction_to_cassandra.mp4 49MB
  10. 001_introduction_to_time_series_problems.mp4 49MB
  11. 018_spark_and_cassandra_architecture.mp4 46MB
  12. 010_cassandra_basic_architecture.mp4 45MB
  13. 019_analyzing_cassandra_data_spark_sql.mp4 44MB
  14. 002_kafka_architecture_and_deployment.mp4 43MB
  15. 020_spark_and_cassandra_datastax_enterprise.mp4 40MB
  16. 005_spark_architecture.mp4 38MB
  17. 014_cassandra_partitions_clustering.mp4 38MB
  18. 003_kafka_usage.mp4 35MB
  19. 017_cassandra_drivers_and_access_patterns.mp4 33MB
  20. 007_spark_streaming_ingestion_sources_using_kafka.mp4 32MB
  21. 006_spark_streaming_windows_slides.mp4 25MB
  22. 008_sparks_streaming_operations_on_the_stream.mp4 15MB
  23. datastax-spark-streaming-demo-master.zip 182KB