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种子名称： Applying Lambda Achitecture with Spark, Kafka and Cassandra
文件类型： 视频
文件数目： 72个文件
文件大小： 1.06 GB
收录时间： 2017-3-14 20:30
已经下载： 3次
资源热度： 151
最近下载： 2024-7-5 20:59

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Applying Lambda Achitecture with Spark, Kafka and Cassandra.torrent

07. Persisting with Cassandra/07_01-Introduction.mp4988.83KB

07. Persisting with Cassandra/07_03-Relational Database vs. Cassaandra.mp41.11MB

07. Persisting with Cassandra/07_04-Spark Cassandra Connector.mp42.02MB

05. Advanced Streaming Operations/05_12-Summary.mp42.04MB

04. Speed Layer with Spark Streaming/04_05-SparkSQL in Streaming Applications.mp42.13MB

02. A Modern Big Data Architecture/02_10-Summary.mp42.53MB

04. Speed Layer with Spark Streaming/04_01-Intro.mp42.55MB

05. Advanced Streaming Operations/05_01-Intro.mp42.6MB

04. Speed Layer with Spark Streaming/04_12-Summary.mp42.62MB

06. Streaming Ingest with Kafka and Spark Streaming/06_15-Summary.mp43.22MB

07. Persisting with Cassandra/07_10-Modeling Time Series Data with Cassandra.mp43.32MB

03. Batch Layer with Apache Spark/03_09-Summary.mp43.43MB

06. Streaming Ingest with Kafka and Spark Streaming/06_05-Messaging Models.mp43.55MB

04. Speed Layer with Spark Streaming/04_03-DStream vs. RDD.mp43.81MB

05. Advanced Streaming Operations/05_02-Checkpointing in Spark.mp43.89MB

05. Advanced Streaming Operations/05_04-Visualizing Stateful Transformations.mp43.9MB

07. Persisting with Cassandra/07_05-Reading Using DataFrames and Spark SQL.mp43.99MB

04. Speed Layer with Spark Streaming/04_04-Using transform and foreachRDD.mp44MB

01. Course Overview/01_01-Course Overview.mp44.05MB

07. Persisting with Cassandra/07_13-Summary.mp44.14MB

07. Persisting with Cassandra/07_02-Cassandras Design.mp44.75MB

06. Streaming Ingest with Kafka and Spark Streaming/06_11-Direct Stream to HDFS.mp44.78MB

07. Persisting with Cassandra/07_09-Composite Keys in Cassandra.mp45MB

07. Persisting with Cassandra/07_12-Spark Batch Cassandra Views_ Demo.mp45.35MB

06. Streaming Ingest with Kafka and Spark Streaming/06_03-Kafka Producer.mp45.42MB

02. A Modern Big Data Architecture/02_02-What Are We Building.mp45.45MB

07. Persisting with Cassandra/07_08-Data Modeling with Cassandra_ Part Two.mp45.49MB

07. Persisting with Cassandra/07_07-Data Modeling with Cassandra_ Part One.mp47.17MB

04. Speed Layer with Spark Streaming/04_06-Streaming Receiver Model.mp47.48MB

06. Streaming Ingest with Kafka and Spark Streaming/06_09-Spark Kafka Direct Streaming API.mp47.74MB

02. A Modern Big Data Architecture/02_08-Fast Track to Scala_ Collections.mp48.18MB

05. Advanced Streaming Operations/05_09-Stateful Cardinality Estimation_ Unique Counts Using HyperLogLog.mp48.87MB

02. A Modern Big Data Architecture/02_01-Defining the Lambda Architecture.mp49.07MB

06. Streaming Ingest with Kafka and Spark Streaming/06_02-Kafka Broker.mp49.52MB

04. Speed Layer with Spark Streaming/04_02-Spark Streaming Fundamentals.mp49.57MB

06. Streaming Ingest with Kafka and Spark Streaming/06_01-Introduction to Kafka.mp49.83MB

06. Streaming Ingest with Kafka and Spark Streaming/06_04-Partition Assignment and Consumers.mp410.87MB

05. Advanced Streaming Operations/05_03-Window Operations.mp410.95MB

02. A Modern Big Data Architecture/02_06-Fast Track to Scala_ Basics.mp411.18MB

03. Batch Layer with Apache Spark/03_08-Querying Data with Spark DataSources API_ Demo.mp411.82MB

06. Streaming Ingest with Kafka and Spark Streaming/06_08-Spark Kafka Receiver API.mp412.03MB

03. Batch Layer with Apache Spark/03_01-Introduction to Spark.mp412.06MB

06. Streaming Ingest with Kafka and Spark Streaming/06_14-Batch Processing from HDFS with Data Sources API_ Demo.mp412.44MB

05. Advanced Streaming Operations/05_07-Stateful Transformations_ mapWithState.mp412.72MB

03. Batch Layer with Apache Spark/03_02-Spark Components and Scheduling.mp413.26MB

06. Streaming Ingest with Kafka and Spark Streaming/06_10-Direct Streaming API_ Demo.mp413.51MB

05. Advanced Streaming Operations/05_05-Stateful Transformations_ updateStateByKey.mp414.81MB

02. A Modern Big Data Architecture/02_09-Spark with Zeppelin_ Demo.mp415.04MB

07. Persisting with Cassandra/07_06-Creating Keyspace and Cassandra Tables_ Demo.mp415.93MB

02. A Modern Big Data Architecture/02_03-Setting up Your Environment_ Demo.mp417.58MB

03. Batch Layer with Apache Spark/03_04-First Spark Job_ Demo.mp418.51MB

02. A Modern Big Data Architecture/02_05-Installing the Course VM_ Demo.mp419.54MB

02. A Modern Big Data Architecture/02_04-Tools Well Need_ Demo.mp420.89MB

07. Persisting with Cassandra/07_11-Spark Streaming Realtime Cassandra Views_ Demo.mp424.34MB

06. Streaming Ingest with Kafka and Spark Streaming/06_13-Streaming Resiliency_ Demo.mp424.45MB

06. Streaming Ingest with Kafka and Spark Streaming/06_07-Spark Streaming Kafka Receiver_ Demo.mp425.69MB

05. Advanced Streaming Operations/05_11-Evaluating Approximation Performance with Zeppelin_ Demo.mp427.21MB

04. Speed Layer with Spark Streaming/04_08-Streaming Log Producer_ Running with Zeppelin_ Demo.mp427.91MB

02. A Modern Big Data Architecture/02_07-Fast Track to Scala_ Language Features.mp429.81MB

04. Speed Layer with Spark Streaming/04_11-Streaming Aggregations with Zeppelin_ Demo.mp430.58MB

05. Advanced Streaming Operations/05_08-Better State Management Using mapWithState_ Demo.mp432.53MB

04. Speed Layer with Spark Streaming/04_09-Refactoring Streaming Application_ Demo.mp433.01MB

04. Speed Layer with Spark Streaming/04_07-Creating Spark Streaming Application_ Demo.mp434.33MB

03. Batch Layer with Apache Spark/03_07-Saving to HDFS and Executing on YARN_ Demo.mp434.47MB

04. Speed Layer with Spark Streaming/04_10-Spark Streaming with SparkSQL Aggregations_ Demo.mp437.19MB

06. Streaming Ingest with Kafka and Spark Streaming/06_06-Kafka Producer_ Demo.mp437.96MB

03. Batch Layer with Apache Spark/03_06-Aggregations with DataFrame API_ Demo.mp438.84MB

03. Batch Layer with Apache Spark/03_03-Getting Started_ Log Producer Demo.mp438.94MB

03. Batch Layer with Apache Spark/03_05-Aggregations with RDD API_ Demo.mp440.49MB

05. Advanced Streaming Operations/05_06-State Management Using updateStateByKey_ Demo.mp443.73MB

05. Advanced Streaming Operations/05_10-Approximating Unique Visitors Using HLL_ Demo.mp447.88MB

06. Streaming Ingest with Kafka and Spark Streaming/06_12-Direct Stream to HDFS_ Demo.mp462.45MB