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Download Applying Lambda Achitecture with Spark, Kafka and Cassandra

Applying Lambda Achitecture with Spark Kafka and Cassandra

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Applying Lambda Achitecture with Spark, Kafka and Cassandra

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Total Size

1.1 GB

Total Files

145

Hash

5E011C840863221C461E53F35B82D480251A6465

/07. Persisting with Cassandra/

07_01-Introduction.srt

1.1 KB

07_03-Relational Database vs. Cassaandra.srt

1.6 KB

07_12-Spark Batch Cassandra Views_ Demo.srt

1.7 KB

07_04-Spark Cassandra Connector.srt

1.7 KB

07_13-Summary.srt

2.0 KB

07_10-Modeling Time Series Data with Cassandra.srt

2.5 KB

07_09-Composite Keys in Cassandra.srt

3.0 KB

07_05-Reading Using DataFrames and Spark SQL.srt

3.3 KB

07_02-Cassandras Design.srt

4.1 KB

07_07-Data Modeling with Cassandra_ Part One.srt

4.3 KB

07_08-Data Modeling with Cassandra_ Part Two.srt

4.3 KB

07_06-Creating Keyspace and Cassandra Tables_ Demo.srt

8.1 KB

07_11-Spark Streaming Realtime Cassandra Views_ Demo.srt

9.8 KB

07_01-Introduction.mp4

1.0 MB

07_03-Relational Database vs. Cassaandra.mp4

1.2 MB

07_04-Spark Cassandra Connector.mp4

2.1 MB

07_10-Modeling Time Series Data with Cassandra.mp4

3.5 MB

07_05-Reading Using DataFrames and Spark SQL.mp4

4.2 MB

07_13-Summary.mp4

4.3 MB

07_02-Cassandras Design.mp4

5.0 MB

07_09-Composite Keys in Cassandra.mp4

5.2 MB

07_12-Spark Batch Cassandra Views_ Demo.mp4

5.6 MB

07_08-Data Modeling with Cassandra_ Part Two.mp4

5.8 MB

07_07-Data Modeling with Cassandra_ Part One.mp4

7.5 MB

07_06-Creating Keyspace and Cassandra Tables_ Demo.mp4

16.7 MB

07_11-Spark Streaming Realtime Cassandra Views_ Demo.mp4

25.5 MB

/04. Speed Layer with Spark Streaming/

04_05-SparkSQL in Streaming Applications.srt

1.3 KB

04_12-Summary.srt

1.9 KB

04_01-Intro.srt

2.0 KB

04_03-DStream vs. RDD.srt

3.3 KB

04_04-Using transform and foreachRDD.srt

3.5 KB

04_06-Streaming Receiver Model.srt

6.9 KB

04_08-Streaming Log Producer_ Running with Zeppelin_ Demo.srt

8.1 KB

04_02-Spark Streaming Fundamentals.srt

9.7 KB

04_10-Spark Streaming with SparkSQL Aggregations_ Demo.srt

11.8 KB

04_07-Creating Spark Streaming Application_ Demo.srt

12.0 KB

04_09-Refactoring Streaming Application_ Demo.srt

12.8 KB

04_11-Streaming Aggregations with Zeppelin_ Demo.srt

14.0 KB

04_05-SparkSQL in Streaming Applications.mp4

2.2 MB

04_01-Intro.mp4

2.7 MB

04_12-Summary.mp4

2.7 MB

04_03-DStream vs. RDD.mp4

4.0 MB

04_04-Using transform and foreachRDD.mp4

4.2 MB

04_06-Streaming Receiver Model.mp4

7.8 MB

04_02-Spark Streaming Fundamentals.mp4

10.0 MB

04_08-Streaming Log Producer_ Running with Zeppelin_ Demo.mp4

29.3 MB

04_11-Streaming Aggregations with Zeppelin_ Demo.mp4

32.1 MB

04_09-Refactoring Streaming Application_ Demo.mp4

34.6 MB

04_07-Creating Spark Streaming Application_ Demo.mp4

36.0 MB

04_10-Spark Streaming with SparkSQL Aggregations_ Demo.mp4

39.0 MB

/05. Advanced Streaming Operations/

05_01-Intro.srt

1.6 KB

05_12-Summary.srt

1.6 KB

05_02-Checkpointing in Spark.srt

3.4 KB

05_04-Visualizing Stateful Transformations.srt

5.0 KB

05_09-Stateful Cardinality Estimation_ Unique Counts Using HyperLogLog.srt

5.2 KB

05_07-Stateful Transformations_ mapWithState.srt

9.2 KB

05_11-Evaluating Approximation Performance with Zeppelin_ Demo.srt

10.5 KB

05_05-Stateful Transformations_ updateStateByKey.srt

10.5 KB

05_08-Better State Management Using mapWithState_ Demo.srt

11.2 KB

05_03-Window Operations.srt

11.9 KB

05_06-State Management Using updateStateByKey_ Demo.srt

13.1 KB

05_10-Approximating Unique Visitors Using HLL_ Demo.srt

18.9 KB

05_12-Summary.mp4

2.1 MB

05_01-Intro.mp4

2.7 MB

05_02-Checkpointing in Spark.mp4

4.1 MB

05_04-Visualizing Stateful Transformations.mp4

4.1 MB

05_09-Stateful Cardinality Estimation_ Unique Counts Using HyperLogLog.mp4

9.3 MB

05_03-Window Operations.mp4

11.5 MB

05_07-Stateful Transformations_ mapWithState.mp4

13.3 MB

05_05-Stateful Transformations_ updateStateByKey.mp4

15.5 MB

05_11-Evaluating Approximation Performance with Zeppelin_ Demo.mp4

28.5 MB

05_08-Better State Management Using mapWithState_ Demo.mp4

34.1 MB

05_06-State Management Using updateStateByKey_ Demo.mp4

45.9 MB

05_10-Approximating Unique Visitors Using HLL_ Demo.mp4

50.2 MB

/03. Batch Layer with Apache Spark/

03_09-Summary.srt

1.6 KB

03_08-Querying Data with Spark DataSources API_ Demo.srt

5.6 KB

03_04-First Spark Job_ Demo.srt

7.6 KB

03_01-Introduction to Spark.srt

11.1 KB

03_02-Spark Components and Scheduling.srt

11.8 KB

03_06-Aggregations with DataFrame API_ Demo.srt

11.9 KB

03_05-Aggregations with RDD API_ Demo.srt

13.0 KB

03_07-Saving to HDFS and Executing on YARN_ Demo.srt

13.8 KB

03_03-Getting Started_ Log Producer Demo.srt

17.9 KB

03_09-Summary.mp4

3.6 MB

03_08-Querying Data with Spark DataSources API_ Demo.mp4

12.4 MB

03_01-Introduction to Spark.mp4

12.6 MB

03_02-Spark Components and Scheduling.mp4

13.9 MB

03_04-First Spark Job_ Demo.mp4

19.4 MB

03_07-Saving to HDFS and Executing on YARN_ Demo.mp4

36.1 MB

03_06-Aggregations with DataFrame API_ Demo.mp4

40.7 MB

03_03-Getting Started_ Log Producer Demo.mp4

40.8 MB

03_05-Aggregations with RDD API_ Demo.mp4

42.5 MB

/06. Streaming Ingest with Kafka and Spark Streaming/

06_15-Summary.srt

2.0 KB

06_14-Batch Processing from HDFS with Data Sources API_ Demo.srt

3.6 KB

06_05-Messaging Models.srt

3.7 KB

06_11-Direct Stream to HDFS.srt

4.0 KB

06_10-Direct Streaming API_ Demo.srt

4.3 KB

06_03-Kafka Producer.srt

5.0 KB

06_09-Spark Kafka Direct Streaming API.srt

5.1 KB

06_01-Introduction to Kafka.srt

7.5 KB

06_08-Spark Kafka Receiver API.srt

8.0 KB

06_04-Partition Assignment and Consumers.srt

9.7 KB

06_02-Kafka Broker.srt

9.8 KB

06_07-Spark Streaming Kafka Receiver_ Demo.srt

10.8 KB

06_13-Streaming Resiliency_ Demo.srt

10.8 KB

06_06-Kafka Producer_ Demo.srt

15.0 KB

06_12-Direct Stream to HDFS_ Demo.srt

20.0 KB

06_15-Summary.mp4

3.4 MB

06_05-Messaging Models.mp4

3.7 MB

06_11-Direct Stream to HDFS.mp4

5.0 MB

06_03-Kafka Producer.mp4

5.7 MB

06_09-Spark Kafka Direct Streaming API.mp4

8.1 MB

06_02-Kafka Broker.mp4

10.0 MB

06_01-Introduction to Kafka.mp4

10.3 MB

06_04-Partition Assignment and Consumers.mp4

11.4 MB

06_08-Spark Kafka Receiver API.mp4

12.6 MB

06_14-Batch Processing from HDFS with Data Sources API_ Demo.mp4

13.0 MB

06_10-Direct Streaming API_ Demo.mp4

14.2 MB

06_13-Streaming Resiliency_ Demo.mp4

25.6 MB

06_07-Spark Streaming Kafka Receiver_ Demo.mp4

26.9 MB

06_06-Kafka Producer_ Demo.mp4

39.8 MB

06_12-Direct Stream to HDFS_ Demo.mp4

65.5 MB

/02. A Modern Big Data Architecture/

02_10-Summary.srt

3.0 KB

02_02-What Are We Building.srt

3.3 KB

02_08-Fast Track to Scala_ Collections.srt

5.3 KB

02_04-Tools Well Need_ Demo.srt

6.1 KB

02_03-Setting up Your Environment_ Demo.srt

6.8 KB

02_09-Spark with Zeppelin_ Demo.srt

7.7 KB

02_01-Defining the Lambda Architecture.srt

8.0 KB

02_05-Installing the Course VM_ Demo.srt

8.0 KB

02_06-Fast Track to Scala_ Basics.srt

9.0 KB

02_07-Fast Track to Scala_ Language Features.srt

15.6 KB

02_10-Summary.mp4

2.7 MB

02_02-What Are We Building.mp4

5.7 MB

02_08-Fast Track to Scala_ Collections.mp4

8.6 MB

02_01-Defining the Lambda Architecture.mp4

9.5 MB

02_06-Fast Track to Scala_ Basics.mp4

11.7 MB

02_09-Spark with Zeppelin_ Demo.mp4

15.8 MB

02_03-Setting up Your Environment_ Demo.mp4

18.4 MB

02_05-Installing the Course VM_ Demo.mp4

20.5 MB

02_04-Tools Well Need_ Demo.mp4

21.9 MB

02_07-Fast Track to Scala_ Language Features.mp4

31.3 MB

/01. Course Overview/

01_01-Course Overview.srt

3.3 KB

01_01-Course Overview.mp4

4.2 MB

/

sparkkafkacassandraapplyinglambdaarchitecture.zip

5.7 MB

 

Total files 145


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