The document outlines a Salesforce certification training agenda, covering key topics such as the need and rise of Salesforce, cloud computing concepts, and benefits. It describes Salesforce as a cloud computing platform offering services as SaaS and PaaS, with a focus on its multi-tenant architecture and metadata-driven development model. Additionally, it highlights the various products and services offered by Salesforce, including sales, marketing, and analytics.

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Agenda

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Topics For Today’s Salesforce Training
i. Salesforce → Need & Rise
ii. Features Of Salesforce
iii. Demo: Salesforce In Action

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What Is Cloud Computing?
Working of Cloud Computing:
1. Software apps delivered on the cloud (vendor)
2. Software apps accessible via the cloud (client)
Its the use of remote servers to store, manage & process data, rather than on a local server/ personal computer

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What Is Salesforce?
Salesforce is a cloud computing platform who provide service as SaaS & PaaS
SaaS
PaaS

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Benefits Of Cloud Computing & Salesforce
CHEAPER SCALABLE COLLABORATION HASSLE-FREE

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Working Of
Salesforce

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Multi-Tenant Architecture Of Salesforce
➢ One Server instance will be shared by multiple clients
➢ Economical; resources & maintenance cost is shared
➢ Vendor needs to update only one application, and changes
will be reflected for all clients
➢ Single database stores data of multiple clients.
➢ Sharing rules enforced by Governor limits.

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Meta-Data Architecture Of Salesforce
➢ Salesforce uses a metadata-driven development model.
➢ Functionalities of an app are defined as metadata in a
database.
➢ Allows developers to concentrate only on building the
application.
➢ Includes processes, assignment rules, sharing & security
settings, Visualforce pages & Apex triggers.
➢ Stores page layouts for: Accounts, Contacts, Leads.

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Products & Services Offered By Salesforce
Sales
Marketing
Service
Analytics
Community
App
Commerce
IoT
Health

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Salesforce CRM Today

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Salesforce Certification Roadmap

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Hands-on
Getting Started With Salesforce

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WebDriver vs. IDE vs. RC
➢ Data Warehouse is like a relational database designed for analytical needs.
➢ It functions on the basis of OLAP (Online Analytical Processing).
➢ It is a central location where consolidated data from multiple locations (databases) are stored.