Page Index - vaquarkhan/Apache-Kafka-poc-and-notes GitHub Wiki
297 page(s) in this GitHub Wiki:
- Home
- Install Apache Spark (OSX)
- Run the Spark python shell
- Configuration
- Loading data from S3
- Glob patterns
- Loading CSV
- Loading data from SQL DB
- Viewing the Spark GUI
- Post 4.0 AMI
- Pre 4.0 AMI
- Silencing the logs
- On EMR
- Run commands on EMR nodes
- HDFS
- Useful Links
- AWS, EC2, EMR
- Spark
- Spark at Skimlinks
- [structured streaming] How to remove outdated data when use Window Operations
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- A Comprehensive Analysis: Apache Kafka
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- Apache Kafaka install on ubuntu and create topic
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- Apache Kafka Integration With Spark Java
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- Apache Kafka cheat sheet
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- Apache Spark
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- Apache Spark Lambda architecture
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- Apache Spark 2.0 Structured Streaming
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- Apache Spark @Scale: A 60 TB production use case
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- Apache Spark books
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- Apache Spark Case Study
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- Apache Spark cluster mode configuration
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- Apache Spark custom Encoder example
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- Apache Spark DAG
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- Apache Spark Data load
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- Apache Spark DataFrames serialization
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- Apache spark dealing with null
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- Apache Spark Gotchas
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- Apache Spark Join guidelines and Performance tuning
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- Apache Spark Key Terms
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- Apache Spark Machine Learning (MLlib) From where to start?
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- Apache Spark MLlib
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- Apache spark Monitoring and Instrumentation
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- Apache Spark Natural join for data frames in spark
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- Apache Spark Partition
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- Apache spark Partitions
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- Apache Spark Performance tuning
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- Apache Spark Programming Cheat Sheet
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- Apache Spark programming guide notes 1
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- Apache Spark programming guide notes 2
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- Apache Spark programming guide notes 3
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- Apache Spark Rest API
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- Apache Spark Scala Project Template
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- Apache Spark SQL
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- Apache Spark SQL Introduction
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- Apache Spark SQL programming guide notes 1
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- Apache Spark Streaming
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- Apache spark test sample data
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- Apache Spark Testing
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- Apache Spark Tuning and Debugging
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- Apache Spark UI
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- Apache Spark vs. Apache Drill and Apache hawq
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- Apache Spark web UI
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- Apache Spark: Config Cheatsheet
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- Apache Storm vs Apace Spark streaming
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- Architectural considerations and value
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- Attend the webinar: Introduction to Spark Developer Training
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- AWS Certification notes
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- Build and Deploy Angular App to Azure via KuduScript
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- Cloud native Data with Spark 2.3 and Kubernetes
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- Compare Bigtable to BigQuery
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- CompletableFuture
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- Concurrency, multi threading
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- Databricks Spark Knowledge Base
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- databricks Spark reference applications
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- Debug Apache Spark Code Faster
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- Developing Apache Spark Java Applications on Eclipse
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- Difference between flatMap() and map() on an RDD
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- Difference between registerTempTable() and saveAsTable() in Spark
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- Difference between ShuffledRDD, MapPartitionsRDD and ParallelCollectionRDD:
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- Docker commands
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- Dr. Elephant
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- Exercises
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- Exercises 1.1
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- Exercises 1.2
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- Explanation on improving code generation on Apache Spark 2.3 Catalyst Codegen Stage grows beyond 64 KB
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- Exploring Wikipedia with Apache Spark: A Live Coding Demo
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- Graphx 4
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- GraphX x
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- GraphX 1
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- GraphX 2
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- GraphX 3
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- Graphx 4
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- GraphX 5 Partition Strategy in GraphX
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- GraphX 6
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- Hadoop analyzing Gelocation data
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- Hadoop command
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- Hadoop command 1
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- HBase Apache Phonix Spring Boot POC
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- high performance spark join and partition
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- Hive SQL
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- How do I flatten JSON blobs into a Data Frame using Spark Spark SQL
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- How do persist the data after I process the data with Structured streaming...
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- How to use Apache Spark to find the most Popular Movies!
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- Installing Apache Spark on Windows 7 environment
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- Introduction to AmpLab Spark Internals
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- Introduction to Apache Spark
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- Java best question and answers
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- Java Code Examples for org.apache.spark.api.java.function.Function
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- Java garbage collection options cheat sheet HotSpot JVM
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- K means
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- Kafka 0.10 & Spark Streaming 2.0.2 POC
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- Loop in Apache spark
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- mapPartitions
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- Mastering Apache Spark
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- Microservices
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- Monitoring real time uber data using spark machine learning streaming and kafka api
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- MY LAB Apache Spark Uber data analysis
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- Narrow Transformation vs Wide Transformation
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- Optimizing Apache Spark with Memory
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- Overview of Kubernetes architecture and main concepts
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- Problems Spark SQL solves
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- RDD Types and Operations
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- RDD vs Dataframe
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- reduceByKey vs groupBykey vs aggregateByKey vs combineByKey
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- reducebykey vs combinebykey Apache Spark
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- REST api for monitoring Spark Streaming
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- Scala Basic
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- Scala Basic part 1
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- Scala Basic part 2
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- Scalable Data Science book data set for analysis
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- Spark common code
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- Spark Core
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- Spark DF
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- Spark Error CoarseGrainedExecutorBackend Driver disassociated! Shutting down: Spark Memory & memoryOverhead
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- Spark Join
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- Spark notes
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- Spark Performance Improving With Partitioning
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- Spark SQL
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- Spark SQL and dataset type
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- Spark SQL links
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- Spark Streaming and Twitter Sentiment Analysis
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- Spark Streaming Programming Guide 1
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- Spark structure streaming Unsupported Operations
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- Spark tutorial and Interview Questions
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- SparkDF Join Using Broadcast variable
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- Spring Framworks
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- Stanford Large Network Dataset Collection
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- Submitting applications to Spark
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- Techniques & Best Practices
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- Top 5 mistakes when writing spark applications
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- Top Apache Spark Interview Questions And Answers
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- Tuning and Debugging Apache Spark
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- Uber Apache Spark
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- Websiote Automation recording tools
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- What are some good uses for Apache Spark?
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- What is the difference between partitioning and bucketing a table in Hive ?
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- Wide vs Narrow Dependencies
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- wikipedia data with apache spark
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