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Data Integration
1.
Data Integration
2.
Contents Introduction1 2 Data Ingestion 3
Data Processing 4 Data Architectures 5 Workshop
3.
1. Introduction
4.
vision products data science Data access data infrastructure Data
Needs
5.
Relational DBs Log filesSearch
indexes NoSQL DBs Message queueMonitoring Data Sources
6.
Data Warehouse ETL ETL ETL ETL Data
Warehouse Ingestion
7.
Sink Source . . .
.Transform Load Extract
8.
1990 Data Warehousing -
Drop relational assumption - Programmability - Open Source 2008 Hadoop + MapReduce - Batch → Real-time - Daily → Continous 2015 Kafka + Streaming data
9.
2. Data Ingestion From
ETL to ELT: Flume, sqoop, kafka
10.
sqoopflume Data Lake Kafka Producer
Kafka Producer Kafka Consumer Data Lake Ingestion Kafka
11.
Channel Channel Processor Interceptor #1 Interceptor #N SinkSource Flume
Agent Apache Flume Avro Thrift Kafka Exec JMS Spool dir Twitter Netcat Syslog HTTP HDFS Kafka Hive Logger Avro Thrift IRC HBase Elastic
12.
RDBMS Apache Sqoop Sqoop Tool Import Export
13.
Data Pipeline Problem Inter-process communication channel
14.
Data Pipeline Problem Metrics Pub/Sub A
publish/subscribe System
15.
Data Pipeline Problem Metrics Pub/Sub Logging Pub/Sub Multiple publish/subscribe Systems
16.
Apache Kafka Broker 1
Broker 2 Broker 3 Kafka Cluster ● ● ● ●
17.
Consumer Kafka as reliable
Flume channel Flume + Kafka Source Sink Channel Producer Flume as kafka producer/consumer
18.
3. Data Processing
19.
Batch Processing Data Lake Batch Processing Pageviews [url,
timestamp] [url, timestamp] [url, timestamp] [url, timestamp] DBRollups [url, hour, count] [url, hour, count] [url, hour, count] {url+hour : count} {url+hour : count} {url+hour : count} mapreduce mapreduce Data Analysis
20.
Stream Processing Real Time
Technologies Data Source flume Kafka producer Events / DB writes Process Stream Event Stream Output Stream
21.
4. Data Architectures
22.
Data Lake Batch Processing Data Processing
Architecture Data Source flume Kafka producer Data Analysis
23.
Data Lake Batch Processing Stream Processing Data Processing
Architecture Data Source flume Kafka producer Data Analysis
24.
Lambda Architecture Serving Layer New
Data Stream Batch Views Real-Time Views Partial Aggregate Partial Aggregate Partial Aggregate Real-Time Data Bath LayerPrecompute Views (MapReduce)Batch Processing Real-Time Layer Increment Views Stream Processing Process Stream Merged View query merge
25.
Data Lake Batch Processing Stream Processing Data Processing
Architecture Data Source flume Kafka producer Serving Layer Data Analysis
26.
Kappa Architecture Serving Layer query Serving
DB Output Table n Output Table n+1 Stream Processing System Job Version n Job Version n+1 Data Storage 1 New Data Stream 2 3 .. Where everything is a stream Real-Time Layer query
27.
4. Workshop
28.
THANKS! Any questions? @datiobd flasheras@datiobd.com rbravo@datiobd.com datio-big-data
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