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Data na insigte met Google Wolkplatform

Beskrywing

Gehoor en Voorvereistes

Kursus uiteensetting

Skedule & Fooie

sertifisering

Data to Insights with Google Cloud Platform Training

Wil jy weet hoe om petabytes data in sekondes te vra en verwerk? Nuuskierig oor data-analise wat outomaties skaal as jou data groei? Welkom by die Data Insights kursus!

Hierdie tweedaagse instrukteur-geleide kursus leer deelnemers hoe om insigte te ontleed deur data-ontleding en visualisering met behulp van die Google Wolkplatform. Die kursus bevat interaktiewe scenario's en hands-on laboratoriums waar deelnemers die insigte van verskillende Google BigQuery-datastelle verken, ontgin, laai, visualiseer en insig trek. Die kursus dek data laai, navraag, skema modellering, prestasie optimalisering, navraag pryse en data visualisering.

Doelwitte

  • Lei insigte uit data met behulp van die analise- en visualiseringsinstrumente op Google Cloud Platform
  • Interaktief navraag data stel met behulp van Google BigQuery
  • Laai, skoon en verander data op skaal
  • Visualiseer data met behulp van Google Data Studio en ander derdeparty-platforms
  • Onderskei tussen verkennende en verklarende analise en wanneer elke benadering gebruik word
  • Verken nuwe datastelle en ontbloot verborge insigte vinnig en effektief
  • Optimalisering van data modelle en navrae vir prys en prestasie

Bestemde gehoor

  • Basiese vaardigheid met ANSI SQL

voorvereiste

  • IT-professionele persone wat medium tot groot ondernemings ondersteun en ondervinding het met die bestuur van Windows Server 2012
  • Vertroudheid met virtualiseringskonsepte en bestuursmiddele word sterk aanbeveel, hoewel ervaring met virtualisering nie verwag word nie
  • Vermoë om bedieneradministrateur take uit te voer om 'n virtualisasie-infrastruktuur te bou en in stand te hou
  • Moet begrip hê van TCP / IP en netwerkkonsepte en verskillende bergingstegnologieë en konsepte
  • Moet 'n begrip van Windows PowerShell
  • Installering en konfigurering van Windows Server 2012 (M20410) of gelykwaardige kennis
  • Bestuur van Windows Server 2012 (M20411) of gelykwaardige kennis

Course Outline Duration: 2 Days

Module 1: Inleiding tot data op die Google Cloud Platform
Voor en Nou: Skaalbare Data-analise in die wolk

  • Verlig Analytics Uitdagings Gekonfronteer deur Data Ontleders
  • Vergelyk Big Data On-Premise vs op die wolk
  • Leer uit Real-World Use Cases van maatskappye wat deur Analytics op die wolk getransformeer word
  • Navigeer die basiese beginsels van Google Wolkplatform-projek

Module 2: Big Data Tools Oorsig
Skerp die Tools in u Data Analyst toolkit

  • Walkthrough Data Analyst Take, Uitdagings, en Stel Google Wolkplatform Data Tools voor
  • Demo: Ontleed 10 miljard rekeninge met Google BigQuery
  • Verken 9 Fundamental Google BigQuery-kenmerke
  • Vergelyk GCP Tools vir Ontleders, Data Wetenskaplikes en Data Engineers

Module 3: Exploring your Data
Raak vertroud met Google BigQuery en leer SQL Best Practices

  • Compare Common Data Exploration Techniques
  • Leer hoe om hoë kwaliteit standaard SQL te kodeer
  • Verken Google BigQuery Openbare Datastelle
  • Visualisering Voorskou: Google Data Studio

Module 4: Google BigQuery-pryse
Bereken Google BigQuery-berging- en navraagkoste

  • Walkthrough van 'n BigQuery Job
  • Bereken BigQuery-pryse: berging, navraag en stroomkoste
  • Optimeer navrae vir koste

Module 5: Skoonmaak en transformasie van u data
Wrangel jou Rou Data in 'n Skoner en Richer Dataset

  • Ondersoek die 5-beginsels van Dataset-integriteit
  • Karakteriseer Datastelvorm en Skew
  • Skoon en transformeer data met behulp van SQL
  • Skoon en transformeer data met behulp van 'n nuwe gebruikerskoppelvlak: Inleiding tot wolkdataprep

Module 6: Stoor en uitvoer van data
Skep nuwe tabelle en voer resultate uit

  • Vergelyk Permanente vs Tydelike Tafels
  • Stoor en uitvoer navraaguitslae
  • Prestasievoorskou: Query Cache

Module 7: Invoeging van nuwe datastelle in Google BigQuery
Bring your Data into the Cloud

  • Query from External Data Sources
  • Avoid Data Ingesting Pitfalls
  • Ingest New Data into Permanent Tables
  • Bespreek Streaming Inserts

Module 8: Datavisualisering
Verken en verduidelik data effektief deur visualisering

  • Oorsig van data visualisering beginsels
  • Verkennende vs Verklarende Analise Benaderings
  • Demo: Google Data Studio UI
  • Connect Google Data Studio to Google BigQuery

Module 9: Joining and Merging Datasets
Combine and Enrich Datasets with More Data

  • Merge Historical Data Tables with UNION
  • Introduce Table Wildcards for Easy Merges
  • Review Data Schemas: Linking Data Across Multiple Tables
  • Walkthrough JOIN Examples and Pitfalls

Module 10: Google BigQuery Tables Deep Dive
What Sets Cloud Architecture Apart?

  • Compare Data Warehouse Storage Methods
  • Deep-Dive into Column-Oriented Storage
  • Examine Logical Views, Date-Partitioned Tables, and Best Practices
  • Query the Past with Time Travelling Snapshots

Module 11: Schema Design and Nested Data Structures
Model Datasets for Scale in Google BigQuery

  • Compare Google BigQuery vs. Traditional RDBMS Data Architecture
  • Normalization vs. Denormalization: Performance Trade-Offs
  • Schema Review: The Good, The Bad, and The Ugly
  • Arrays and Nested Data in Google BigQuery

Module 12: Advanced Visualization with Google Data Studio
Create Pixel-Perfect Dashboards

  • Create Case Statements and Calculated Fields
  • Avoid Performance Pitfalls with Cache Considerations
  • Share Dashboards and Discuss Data Access Considerations

Module 13: Advanced Functions and Clauses
Dive Deeper into Advanced Query Writing with Google BigQuery

  • Review SQL Case Statements
  • Introduce Analytical Window Functions
  • Safeguard Data with One-Way Field Encryption
  • Discuss Effective Sub-query and CTE design
  • Compare SQL and Javascript UDFs

Module 14: Optimizing for Performance
Troubleshoot and Solve Query Performance Problems

  • Avoid Google BigQuery Performance Pitfalls
  • Prevent Hotspots in Data
  • Diagnose Performance Issues with the Query Explanation Map

Module 15: Advanced Insights
Think, Analyze, and Share Insights Like a Data Scientist

  • Distill Complex Queries
  • Brainstorm Data-Driven Hypotheses
  • Think like a Data Scientist
  • Introducing Cloud Datalab

Module 16: Data Access
Keep Data Security Top-of-Mind in the Cloud

  • Compare IAM and BigQuery Dataset Roles
  • Avoid Access Pitfalls
  • Review Members, Roles, Organizations, Account Administration, and Service Accounts

Skryf ons asseblief by info@itstechschool.com en kontak ons ​​by + 91-9870480053 vir die kursus prys en sertifiseringskoste, skedule en ligging.

Laat ons 'n navraag

Vir meer inligting, vriendelik kontak ons.

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