K Labs mette a tua disposizione i propri Trainers Certificati, i Laboratori Didattici, i Simulatori di Esame, il proprio Test Center e un Tutor a te dedicato per la preparazione all'esame.
Grazie al nostro supporto la percentuale di candidati che ottengono la certificazione al primo tentativo è prossima al 100%.
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HUAWEI BIG DATA
Huawei Certification Roadmap
K Labs prepara i candidati a superare tutti i livelli di Certificazione offerti da Huawei: Huawei Certified ICT Associate (HCIA), Huawei Certified ICT Professional (HCIP), and Huawei Certified ICT Expert (HCIE).
©2024 K LABS Srl - TUTTI I DIRITTI RISERVATI
©2024 K LABS Srl - TUTTI I DIRITTI RISERVATI
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HCIA BIG DATA
HUAWEI BIG DATA HCIA, Huawei, hdfs, bigdata, fusioninsight
NewCondition € 1100.00
Pre-Order
Pre-Order
OBJECTIVES
On completion of this program, the participants will be able to:
Master the principles of big data components
Master the usage of big data components
PREREQUISITE
Have basic knowledge of Linux
With IT project experience
Have Hadoop basics
WHO SHOULD ATTEND
Big data practitioners
Big data related industry practitioners
TOPICS
1.MapReduce - Distributed Off-line Batch Processing and Yarn - Resource Negotiator
2.HBase - Distributed NoSQL Database
3.HDFS - Hadoop Distributed File System
4.Streaming - Distributed Stream Computing Engine
5.Kafka - Distributed Message Subscription System
6.Zookeeper - Cluster Distributed Coordination Service
7.Big Data Industry and Technological Trends
8.FusionInsight HD Solution Overview
9.Flume - Massive Logs Aggregation
10.Hive - Distributed Data Warehouse
11.Spark2x - In-memory Distributed Computing Engine
12.Loader - Data Transformation
13.Flink – Stream Processing and Batch Processing Platform
On completion of this program, the participants will be able to:
Master the principles of big data components
Master the usage of big data components
PREREQUISITE
Have basic knowledge of Linux
With IT project experience
Have Hadoop basics
WHO SHOULD ATTEND
Big data practitioners
Big data related industry practitioners
TOPICS
1.MapReduce - Distributed Off-line Batch Processing and Yarn - Resource Negotiator
2.HBase - Distributed NoSQL Database
3.HDFS - Hadoop Distributed File System
4.Streaming - Distributed Stream Computing Engine
5.Kafka - Distributed Message Subscription System
6.Zookeeper - Cluster Distributed Coordination Service
7.Big Data Industry and Technological Trends
8.FusionInsight HD Solution Overview
9.Flume - Massive Logs Aggregation
10.Hive - Distributed Data Warehouse
11.Spark2x - In-memory Distributed Computing Engine
12.Loader - Data Transformation
13.Flink – Stream Processing and Batch Processing Platform
