Big Data : Modeling, Technology and Architecture



Référence de la formation

KDS008

Niveau

Beginner

Nombre de jours

3 days

Prix

2.049,00 € HT

Lieu de la formation

V: v-learning, virtual class



Pre-requis

None

Public

Developers, Architects, Product Managers and Managers who wants to know about Big Data.

Objectifs de la formation

Today companies have the capability to collect large amount of data. Handling large amount of data requires new technologies that are able to collect, cleanse, process and store effectively significantamount of information.
Many companies reached the conclusion that not using this collected data is actually loosing large amount of money. Big Data market is estimated to surpass $200 billion this year.
There is a tremendous business in Big Data and with the right methodologies and tools this row Data can be available for use.
This course provide the basis for Big Data and NoSQL DB environment, architecture, process and available tools. The course
will also present Big Data methodologies and deployment recommendations

Contenu du cours

Table 1: KDS008 - Course Contents
Chapter Description
Introduction • Definition: Big Data, NoSQL
• The need for Big Data technology
• Tradition technologies Vs Big Data technologies
Big Data
Architecture
• Big Data Architecture
Data Collection
& Ingestion
• Streaming Concept
− Rest API
• Apache Kafka
− AWS Kinesis, Azure Event Hub
• Apache Flume
• Log Stash
• Commercial solutions – Splunk, Logz.io
Hadoop • What is Hadoop?
• Hadoop Architecture
• Hadoop File System (HDFS)
− Architecture
− NameNode & DataNode
• Hadoop MapReduce
• Apache YARN
• Apache Oozie, Sentry, Tez, HCatalog, ZooKeeper, Ambri, Knox, Falcon
• Hadoop Distribution
− Examples: Cloudera, Hortonworks
• Hadoop Performance Best Practices
Apache Pig • Apache Pig
Apache Storm • Apache Storm
Apache Spark • Concept & Architecture
• Programming with Spark
• Spark Streaming
• Spark SQL, Datasets, and DataFrames
• MLlib
• GraphX
Big Data DB types • Big Data DB types
Key-Values
Stores
• Redis
Column Family Stores (Wide Column Stores) • Apache HBase
• Apache Cassandra
Document Databases • MongoDB
− Architecture & Data Model
− JSON query
− Performance Best Practices
Graph Databases • Mathematical Graph as a DB
• Architecture and components
‘SQL’ over Hadoop • Apache Pig!
• Apache Sqoop
• Apache Hive
− Architecture – Batch Processing
− Apache Impala
− Massively Parallel Processing (MPP)
Big Data Deployment • Local Data Center
• Hosting Services
− AWS, Azure, Google
• Pros and Cons
Big Data Northbound Interfaces • Big Data to OLAP
• BI Visualization
• Scaling BI over Big Data
The End • Trends & Conclusions
• Q&A
• Course’s Evaluation

Dates


28 Sept 2020 au 30 Sept 2020


NOTE :
ATTENTION CETTE FORMATION EST SUR MESURE
CE COURS EST REALISABLE TOUTE L'ANNEE AVEC UN MINIMUM DE 5 PARTICIPANTS


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+33 (0) 950 20 91 64


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