Data & AnalyticsData EngineeringSQLPythonLakehouseSpark

Data Engineering & Analytics Platforms

Build reliable data pipelines and analytics platforms — SQL and Python for data, batch and streaming ingestion, warehouse and lakehouse design, orchestration, data quality and dashboards.

Live OnlineClassroomOn-Site Corporate
المدة
4 أيام
المستوى
Intermediate
طريقة التقديم
Live Online · Classroom · On-Site Corporate
الموقع
Live Online · Dubai · GCC
Certificate
شهادة إتمام
Format
بقيادة مدرب

Course overview

For engineers and analysts who need to turn operational data — network KPIs, transactions, logs — into trusted, queryable datasets and dashboards.

Who should attend

  • Data engineers and analysts
  • BI teams
  • Telecom performance and IT operations teams working with large datasets

Prerequisites

  • Basic SQL or Python

Learning objectives

  1. 1Model data for warehouses and lakehouses
  2. 2Build batch and streaming pipelines
  3. 3Orchestrate and monitor workflows
  4. 4Implement data quality checks
  5. 5Deliver dashboards and self-service analytics

Detailed curriculum

01Foundations
  • Data architecture patterns
  • Advanced SQL
  • Python for data with pandas
02Pipelines
  • Ingestion: batch and streaming
  • Spark fundamentals
  • Orchestration with Airflow
  • Data quality and testing
03Platforms
  • Warehouse vs lakehouse
  • Cloud data platforms overview
  • Governance and security
04Analytics
  • Semantic layers
  • Dashboards and BI
  • Analytics engineering with dbt

Day-by-day agenda

Day 1

  • Foundations

Lecture, whiteboard analysis, exercises and lab time.

Day 2

  • Pipelines

Lecture, whiteboard analysis, exercises and lab time.

Day 3

  • Platforms

Lecture, whiteboard analysis, exercises and lab time.

Day 4

  • Analytics

Lecture, whiteboard analysis, exercises and lab time.

Hands-on exercises & labs

  • Build an end-to-end pipeline from raw KPI files to a dashboard
  • Streaming ingestion exercise
  • Data quality checks with automated tests

Skills gained

Pipeline engineeringData modellingOrchestrationBI delivery

Instructor

Instructor profile — to be added

Name, engineering background and delivery experience of the assigned instructor will be published here. No credentials are shown until confirmed.

Training methodology

Instructor-led

Concepts explained by engineers with delivery experience, at whiteboard depth.

Trace & case driven

Real message flows, counters and scenarios connect theory to network behaviour.

Hands-on

Labs and design workshops matched to the program and delivery mode.

Available locations

Live online region-wide. Classroom and on-site delivery available in Dubai and across major GCC locations, arranged per cohort or corporate engagement.

Live OnlineDubaiAbu DhabiRiyadhJeddahDohaMuscatManamaKuwait City

Upcoming schedule

مباشر عبر الإنترنتLive Online4 أيامQ4 2026 · المواعيد ستُعلن لاحقاًتسجيل الاهتمام

Cohort dates are published when confirmed. Register interest to be notified first, or request a corporate delivery on your own dates.

Frequently asked questions

Live online programs are delivered in real time by an instructor over video with shared labs and interactive Q&A. Classroom programs are delivered face to face in Dubai or other GCC locations, with the instructor and lab environment in the room. Both use the same curricula and instructors.

Programs are built on 3GPP, O-RAN and industry standards and are vendor-agnostic by default. Corporate deliveries can include vendor-specific parameter mapping and scenarios where required.

Participants who complete a program receive a Teleriu certificate of completion. Teleriu programs are professional technical training and are not affiliated with any certification body unless explicitly stated.

Related programs

Bring Data Engineering to your engineering team

Customised for your vendors, architecture and objectives — delivered on-site, in the classroom or live online.

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