Big Data Technologies Program distributed computing environment
Poziom: Zaawansowany

Big Data Technologies
Program

14-tygodniowe zaawansowane szkolenie z Apache Spark, ekosystemu Hadoop i Kafka. Opanuj distributed computing, stream processing i data lake architecture dla enterprise environments.

14 tygodni specjalizacji
8+ cluster projektów
Enterprise certyfikacje
Zapisz się za 4,799 PLN

Przegląd Programu

Zaawansowane szkolenie z Big Data technologies, distributed systems i real-time processing dla enterprise scale

Kluczowe Technologie

Apache Spark Ecosystem

Spark Core, SQL, Streaming, MLlib. Optimization techniques, cluster management, memory tuning i performance debugging.

Hadoop Distributed Ecosystem

HDFS, YARN, MapReduce, Hive, HBase. Cluster architecture, resource management i data governance patterns.

Apache Kafka & Stream Processing

Kafka Connect, Streams API, KSQL. Real-time data pipelines, event sourcing i stream analytics architectures.

Zaawansowane Podejście

Program skupia się na enterprise-grade implementations z naciskiem na scalability, fault tolerance i cost optimization. Pracujesz z multi-terabyte datasets na production-grade clusters. Każdy moduł obejmuje performance tuning, monitoring i troubleshooting techniques stosowane w Fortune 500 companies.

Curriculum Overview

Tygodnie 1-3
Spark Core & RDD Programming
Tygodnie 4-6
Hadoop Ecosystem & HDFS
Tygodnie 7-9
Kafka & Stream Processing
Tygodnie 10-12
Data Lake Architecture
Tygodnie 13-14
Cloud Services & Capstone Project

Jak Działają Technologie

Hands-on methodology z distributed cluster environments i production-scale deployments

Cluster Setup

Konfiguracja multi-node environments z Docker Swarm i Kubernetes dla distributed computing

Data Ingestion

Massive data ingestion patterns z Kafka, Flume i cloud storage connectors dla terabyte datasets

Distributed Processing

Spark jobs optimization, resource allocation strategies i advanced transformations na cluster scale

Analytics & Serving

Real-time analytics, machine learning pipelines i high-performance serving layers

Distributed Architecture Patterns

Fault Tolerance

Replication strategies, checkpointing i automatic recovery mechanisms w distributed environments

Horizontal Scaling

Auto-scaling policies, dynamic resource allocation i load balancing for optimal performance

Data Locality

Optimizing computation placement, data movement minimization i network-aware scheduling

Oczekiwane Rezultaty

Advanced skills i enterprise-level competencies w Big Data technologies i distributed systems

Progression Timeline

Tydzień 3-4
Spark Proficiency

Efficient RDD operations, DataFrame API mastery i Spark SQL optimization techniques

Tydzień 7-8
Hadoop Ecosystem Mastery

HDFS administration, YARN resource management i multi-tenant cluster operations

Tydzień 10-11
Stream Processing Expertise

Real-time Kafka pipelines, windowing functions i event-time processing patterns

Tydzień 14
Enterprise Architecture

Complete data lake implementation z multi-petabyte capacity i cloud-native services

Advanced Success Metrics

Cluster Management Skills

92%

Advanced technical assessment w distributed systems

Production Deployment

89%

Successful production-grade system deployments

Senior Role Transition

67%

Absolwentów przechodzi do Senior/Lead Data Engineer roles

Enterprise Impact Metrics

12.8k
Średnia podwyżka PLN

do Senior/Lead positions

25+
Big Data narzędzi

w professional expertise

TB
Data processing

scale capability

96%
Employer satisfaction

z advanced skills

Kto Skorzysta

Advanced professionals gotowi na Big Data challenges i enterprise-scale distributed systems

Idealni Kandydaci

  • Data Engineers z 2+ lat doświadczenia w SQL/Python
  • Software Engineers przechodzący do Big Data
  • DevOps Engineers zainteresowani data infrastructure
  • System Architects planujący data platforms
  • Absolwenci Data Engineering Foundations

Enterprise Use Cases

  • Przejście do Senior/Lead Data Engineer roles
  • Budowa enterprise data platforms
  • Real-time analytics system implementation
  • Migration do cloud-native architectures
  • Consulting w Big Data transformations

Complex Challenges

  • Petabyte-scale data processing requirements
  • Sub-second latency w stream processing
  • Multi-region data consistency challenges
  • Cost optimization w cloud environments
  • Legacy system integration z modern stacks

Advanced Problem Solving

Enterprise Challenges:

Batch processing bottlenecks
Real-time analytics at scale
Multi-cloud data federation
Complex ML pipeline orchestration

Ten program da Ci:

Spark optimization expertise
Stream processing mastery
Cloud-native architecture skills
Enterprise platform leadership

Technologie i Metodologia

Enterprise-grade Big Data stack z production-ready techniques i innovative distributed approaches

Big Data Stack

Apache Spark 3.5 Core
Hadoop 3.3 HDFS/YARN
Apache Kafka Streaming
Delta Lake Storage
Kubernetes Orchestration

Advanced Techniques

  • Adaptive Query Execution
    Catalyst optimizer, code generation, vectorization
  • Dynamic Resource Allocation
    Auto-scaling, spot instances, cost optimization
  • Event-Time Processing
    Watermarks, windowing, late data handling
  • Data Lake Optimization
    Partitioning strategies, Z-ordering, compaction

Cutting-Edge Innovation

  • Delta Lake ACID Transactions
    Time travel, schema evolution, merge operations
  • Serverless Computing
    AWS Glue, Azure Synapse, Google Dataflow
  • MLOps Integration
    Feature stores, model serving, A/B testing
  • Data Mesh Patterns
    Domain-driven architecture, data products

Enterprise Big Data Architecture

Ingestion Layer
Kafka Connect
Spark Streaming
Change Data Capture
Storage Layer
HDFS
Delta Lake
Object Storage
Processing
Spark Engine
YARN Clusters
Kubernetes Jobs
Analytics
Spark SQL
MLlib
Graph Processing
Serving
Data APIs
Real-time Views
Feature Stores

Jak Zacząć

Advanced enrollment options z prerequisite assessment i accelerated paths dla experienced professionals

Advanced Track

4,799 PLN

Kompletny 14-tygodniowy Big Data program

  • Pełny Big Data stack
  • 8 enterprise projektów
  • Cluster access 24/7
  • Group mentoring
  • Industry certifications
Enterprise Choice

Expert Track

6,299 PLN

Premium program z 1-on-1 expert mentoring

  • Wszystko z Advanced Track
  • 1-on-1 expert mentoring (6 sesji)
  • Architecture review sessions
  • Custom capstone project
  • Priority job placement support

Accelerated

3,799 PLN

8-tygodniowy intensywny program

  • Core technologies focus
  • Prerequisite: Data Engineering exp
  • 4 advanced projekty
  • Fast-track certification
  • Evening & weekend schedule

Prerequisites & Enrollment Process

Required Background:

2+ lata doświadczenia z SQL i Python
Podstawy Linux/Unix command line
Znajomość ETL concepts
Experience z data warehousing

Enrollment Steps:

1
Technical assessment (45 min)
2
Program advisor consultation
3
Cluster environment setup
4
Program start (kolejny wtorek)

Inne Kursy

Rozpocznij od podstaw lub kontynuuj z enterprise platform engineering

Data Engineering Foundations

2,599 PLN

10-tygodniowy kurs wprowadzający obejmujący SQL, Python dla inżynierii danych i podstawy ETL. Wprowadzenie do koncepcji hurtowni danych i Apache Airflow.

Poziom: Podstawowy
Dowiedz się więcej

Data Platform Engineer Track

6,999 PLN

20-tygodniowy profesjonalny program budowy platform danych przedsiębiorstwa. DataOps, orkiestracja, monitoring i optymalizacja wydajności.

Poziom: Profesjonalny
Dowiedz się więcej

Master Big Data Technologies

Dołącz do kolejnej kohorty Big Data Technologies Program i opanuj distributed computing w enterprise scale. Następny start: 23 sierpnia 2025

Zapisz się za 4,799 PLN Porównaj wszystkie kursy
Technical assessment required
Cluster access od dnia 1
Industry certifications included