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%.
.jpeg "fabio-oyxis2kalvg-unsplash (1).jpeg")
Rimani aggiornato sulle novità formative.
Lasciaci la tua e-mail!
Rimani aggiornato sulle novità formative.
Lasciaci la tua e-mail!
HCIP-Big Data Developer
HUAWEI BIG DATA CLOUD, Huawei, bigdata, mapreduce
€1300.00 (Pre-Order)
DURATION
8 days
OBJECTIVES
On completion of this course, you will be able to:
1. Master advanced theories and practice methods of big data development.
2. Master advanced usage methods of big data development on HUAWEI CLOUD.
3. Master the database routine management methods based on DWS.
PREREQUISITES
Be familiar with SQL basics, Big data basics and basic development on Linux operating systems.
WHO SHOULD ATTEND
1. Those who hope to become big data Developer engineers
2. Those who hope to obtain an HCIP-Big Data Developer certificate
3. Senior engineers of big data Developer
TOPICS
Chapter 1 Big Data Application Development Guide (0.5 Day)
Chapter 2 Big Data Scenario-based Solution — Offline Processing (1.5 Days)
Chapter 3 Big Data Scenario-based Solution — Real-Time Retrieval (2 Days)
Chapter 4 Big Data Scenario-based Solution — Real-Time Stream Processing (2 Days)
Chapter 5 Big Data Scenario-based Solution — Converged Data Warehouse (2 Days)
8 days
OBJECTIVES
On completion of this course, you will be able to:
1. Master advanced theories and practice methods of big data development.
2. Master advanced usage methods of big data development on HUAWEI CLOUD.
3. Master the database routine management methods based on DWS.
PREREQUISITES
Be familiar with SQL basics, Big data basics and basic development on Linux operating systems.
WHO SHOULD ATTEND
1. Those who hope to become big data Developer engineers
2. Those who hope to obtain an HCIP-Big Data Developer certificate
3. Senior engineers of big data Developer
TOPICS
Chapter 1 Big Data Application Development Guide (0.5 Day)
Chapter 2 Big Data Scenario-based Solution — Offline Processing (1.5 Days)
Chapter 3 Big Data Scenario-based Solution — Real-Time Retrieval (2 Days)
Chapter 4 Big Data Scenario-based Solution — Real-Time Stream Processing (2 Days)
Chapter 5 Big Data Scenario-based Solution — Converged Data Warehouse (2 Days)
