Introducere curs SQL Server
Acest curs de cinci zile condus de instructor ofera studentilor cunostintele si abilitatile de a furniza o baza de date Microsoft SQL Server. Cursul acopera furnizarea de servicii SQL Server atat la nivel local (on premise), cat si in Azure si acopera noi instalari si migrarea de la o instalare existenta.
La absolvirea cursului SQL Server vei sti:
- Describe the key elements of a data warehousing solution
- Describe the key considerations for a data warehousing solution
- Describe the main hardware considerations for building a data warehouse
- Explain how to use reference architectures and data warehouse appliances to create a data warehouse
- Implement a logical design for a data warehouse
- Implement a physical design for a data warehouse
- Create Columnstore indexes
- Work with Columnstore Indexes
- Describe the advantages of Azure SQL Data Warehouse
- Implement an Azure SQL Data Warehouse
- Describe the considerations for developing an Azure SQL Data Warehouse
- Plan for migrating to Azure SQL Data Warehouse
- Describe ETL with SSIS
- Explore Source Data
- Implement a Data Flow
- Describe control flow
- Create dynamic packages
- Use containers
- Debug an SSIS package
- Log SSIS package events
- Handle errors in an SSIS package
- Describe incremental ETL
- Extract modified data
- Load modified data.
- Describe temporal tables
- Describe data quality services
- Cleanse data using data quality services
- Match data using data quality services
- De-duplicate data using data quality services
- Describe the key concepts of master data services
- Implement a master data service model
- Manage master data
- Create a master data hub
- Use custom components in SSIS
- Use scripting in SSIS
- Describe an SSIS deployment
- Deploy an SSIS package
- Plan SSIS package execution
- Describe at a high level business intelligence
- Show an understanding of reporting
- Show an understanding of data analysis
- Analyze data with Azure SQL data warehouse
Agenda cursului SQL Server
Module 1: Introduction to Data Warehousing
Module description
This module describes data warehouse concepts and architecture consideration.
Lessons
- Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
Lab:
Exploring a Data Warehouse Solution
- Exploring data sources
- Exploring an ETL process
- Exploring a data warehouse
Module 2: Planning Data Warehouse Infrastructure
Module description
This module describes the main hardware considerations for building a data warehouse.
Lessons
- Considerations for data warehouse infrastructure.
- Planning data warehouse hardware.
Lab:
Planning Data Warehouse Infrastructure
- Planning data warehouse hardware
Module 3: Designing and Implementing a Data Warehouse
Module description
This module describes how you go about designing and implementing a schema for a data warehouse.
Lessons
- Data warehouse design overview
- Designing dimension tables
- Designing fact tables
- Physical Design for a Data Warehouse
Lab:
Implementing a Data Warehouse Schema
- Implementing a star schema
- Implementing a snowflake schema
- Implementing a time dimension table
Module 4: Columnstore Indexes
Module description
This module introduces Columnstore Indexes.
Lessons
- Introduction to Columnstore Indexes
- Creating Columnstore Indexes
- Working with Columnstore Indexes
Lab:
Using Columnstore Indexes
- Create a Columnstore index on the FactProductInventory table
- Create a Columnstore index on the FactInternetSales table
- Create a memory optimized Columnstore table
Module 5: Implementing an Azure SQL Data Warehouse
Module description
This module describes Azure SQL Data Warehouses and how to implement them.
Lessons
- Advantages of Azure SQL Data Warehouse
- Implementing an Azure SQL Data Warehouse
- Developing an Azure SQL Data Warehouse
- Migrating to an Azure SQ Data Warehouse
- Copying data with the Azure data factory
Lab:
Implementing an Azure SQL Data Warehouse
- Create an Azure SQL data warehouse database
- Migrate to an Azure SQL Data warehouse database
- Copy data with the Azure data factory
Module 6: Creating an ETL Solution
Module description
At the end of this module you will be able to implement data flow in a SSIS package.
Lessons
- Introduction to ETL with SSIS
- Exploring Source Data
- Implementing Data Flow
Lab:
Implementing Data Flow in an SSIS Package
- Exploring source data
- Transferring data by using a data row task
- Using transformation components in a data row
Module 7: Implementing Control Flow in an SSIS Package
Module description
This module describes implementing control flow in an SSIS package.
Lessons
- Introduction to Control Flow
- Creating Dynamic Packages
- Using Containers
- Managing consistency.
Lab:
Implementing Control Flow in an SSIS Package
- Using tasks and precedence in a control flow
- Using variables and parameters
- Using containers
Using Transactions and Checkpoints
- Using transactions
- Using checkpoints
Module 8: Debugging and Troubleshooting SSIS Packages
Module description
This module describes how to debug and troubleshoot SSIS packages.
Lessons
- Debugging an SSIS Package
- Logging SSIS Package Events
- Handling Errors in an SSIS Package
Lab:
Debugging and Troubleshooting an SSIS Package
- Debugging an SSIS package
- Logging SSIS package execution
- Implementing an event handler
- Handling errors in data flow
Module 9: Implementing a Data Extraction Solution
Module description
This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.
Lessons
- Introduction to Incremental ETL
- Extracting Modified Data
- Loading modified data
- Temporal Tables
Lab:
Extracting Modified Data
- Using a datetime column to incrementally extract data
- Using change data capture
- Using the CDC control task
- Using change tracking
Loading a data warehouse
- Loading data from CDC output tables
- Using a lookup transformation to insert or update dimension data
- Implementing a slowly changing dimension
- Using the merge statement
Module 10: Enforcing Data Quality
Module description
This module describes how to implement data cleansing by using Microsoft Data Quality services.
Lessons
- Introduction to Data Quality
- Using Data Quality Services to Cleanse Data
- Using Data Quality Services to Match Data
Lab:
Cleansing Data
- Creating a DQS knowledge base
- Using a DQS project to cleanse data
- Using DQS in an SSIS package
De-duplicating Data
- Creating a matching policy
- Using a DS project to match data
Module 11: Using Master Data Services
Module description
This module describes how to implement master data services to enforce data integrity at source.
Lessons
- Introduction to Master Data Services
- Implementing a Master Data Services Model
- Hierarchies and collections
- Creating a Master Data Hub
Lab:
Implementing Master Data Services
- Creating a master data services model
- Using the master data services add-in for Excel
- Enforcing business rules
- Loading data into a model
- Consuming master data services data
Module 12: Extending SQL Server Integration Services (SSIS)
Module description
This module describes how to extend SSIS with custom scripts and components.
Lessons
- Using scripting in SSIS
- Using custom components in SSIS
Lab:
Using scripts
- Using a script task
Module 13: Deploying and Configuring SSIS Packages
Module description
This module describes how to deploy and configure SSIS packages.
Lessons
- Overview of SSIS Deployment
- Deploying SSIS Projects
- Planning SSIS Package Execution
Lab:
Deploying and Configuring SSIS Packages
- Creating an SSIS catalog
- Deploying an SSIS project
- Creating environments for an SSIS solution
- Running an SSIS package in SQL server management studio
- Scheduling SSIS packages with SQL server agent
Module 14: Consuming Data in a Data Warehouse
Module description
This module describes how to debug and troubleshoot SSIS packages.
Lessons
- Introduction to Business Intelligence
- An Introduction to Data Analysis
- Introduction to reporting
- Analyzing Data with Azure SQL Data Warehouse
Lab:
Using a data warehouse
- Exploring a reporting services report
- Exploring a PowerPivot workbook
- Exploring a power view report
Certificarile oferite
- Interna, tiparita, care atesta absolvirea cu succes a cursului (emitent IT Learning)
- Online, download, care atesta sustinerea cu succes a examenelor online (emitent IT Learning)
- Nationala (calificare “Operator introducere, validare si prelucrare date – cod COR 411301”), in urma examenului sustinut in fata comisiei ANC (emitent Agentia Nationala pentru Calificari, Min. Educatiei si Min. Muncii)
- Europeana, in urma sustinerii examenelor aferente (emitent ECDL)
- Internationala, in urma sustinerii examenului Microsoft Office Specialist – Excel – Core/Expert/Master (emitent Certiport – USA)
Standard de calitate
Conform insusi principiului de baza al Sistemului de management al calitatii, implementat de IT Learning, obiectivul nostru este satisfactia clientului. Pentru atingerea acestui obiectiv, evaluarea calitatii serviciilor livrate este esentiala.
In acest sens va incurajam sa folositi orice cale si metoda de comunicare (feedback la cald si la rece, testimonial scris, telefon, e-mail, blog, forum, retele sociale etc.), pentru a va exprima, nu atat satisfactia pentru calitatea serviciilor noastre, care reprezinta in fapt angajamentul nostru ferm, asumat prin contract, cat mai ales, daca este cazul, insatisfactia de orice fel privind prestatia noastra, care ne va ajuta sa imbunatatim standardul acestor servicii, in beneficiul dvs.
Ce include taxa de participare la curs
Taxa de participare include serviciile de instruire in clasa, cu instructori certificati Microsoft, precum si urmatoarele beneficii, unice in Romania, oferite exclusiv de IT Learning:
- Evaluarea initiala a nivelului dvs. de cunostinte si abilitati, prin completarea online a unui chestionar;
- Suportul de curs in format electronic (manualul “Step by step”, in limba romana, in format text, plus capturile de ecran aferente si prezentarile din timpul cursului in format PowerPoint, precum si workshop-urile de la curs);
- Access pe cel mai mare portal e-learning www.office-learning.ro, dezvoltat de trainerii si consultantii IT Learning, pentru o perioada de 12 luni;
- Evaluarea finala a cunostintelor si abilitatilor practice dobandite in urma absolvirii cursului, prin rezolvarea unui exercitiu complex, in cadrul unui workshop;
- Certificatul de participare, care atesta absolvirea cu succes a cursului;
- Raportul de evaluare, redactat de trainer, in care va fi consemnat progresul dvs., comparand nivelul initial de abilitati, cu cel final;
- Consultanta post-instruire, prin intermediul forumului Comunitatii utilizatorilor MS Office din Romania, in calitatea dvs. de membru.
Inscriere / Facturare / Plata / “Money back guarantee”
- Daca sunteti persoana fizica, sau grup de maxim 5 participanti din partea unei companii, va puteti inscrie doar in clasele noastre deschise, anuntate pe site la pagina “Calendar Cursuri Open“
- Rezervarea locului / locurilor in sala de curs Open se face telefonic (0787.692.238) sau prin e-mail la adresa , in reply urmand sa primiti fisa de inscriere care trebuie completata de dvs. si retrimisa noua impreuna cu datele de facturare
- Urmeaza emiterea facturii, pe care o veti primi tot pe e-mail, in baza careia urmeaza sa efectuati plata (transfer bancar sau depunere numerar in contul IT Learning) si sa ne trimiteti confirmarea aferenta
- Veti primi la randul dvs. confirmarea noastra ferma ca sunteti inscris(a) la cursul respectiv, impreuna cu detaliile organizatorice (orarul cursului, coffee-break, pauza de pranz etc.)
- Urmeaza livrarea cursului, iar la finalul acestuia completarea feedback-ului, conform formularului de evaluare , in baza caruia se poate invoca clauza “Money back guarantee”: “In cazul obtinerii unui nivel de satisfactie mai mic de 75 % , reflectat de formularul de feedback, garantam returnarea taxei de participare sau reluarea cursului fara nici un cost”.
- Daca sunteti persoana juridica si doriti inscrierea unui grup de peste 5 participanti, vom formula o oferta personalizata cu discount de volum, exclusiv pentru compania dvs., conform specificatiilor primite telefonic, prin fax (0371.602.780) sau pe e-mail la adresa
- Dupa acceptarea ofertei (livrabile, costuri, agenda, perioada si locatia organizarii cursului) urmeaza etapa contractuala
- Odata agreata forma finala a contractului de legal-ul partilor, urmeaza semnarea si livrarea efectiva a serviciilor convenite, a caror facturare si plata se va face numai dupa primirea feadback-urilor completate de absolventi la finalul instruirii si numai in virtutea clauzei “Money back guarantee”:”In cazul obtinerii unui nivel de satisfactie mai mic de 75 % , reflectat de formularului atasat , garantam renuntarea la contravaloarea instruirii sau reluarea cursului cu alt trainer, fara nici un cost aditional”)