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Salesforce Data Models for Pros: Simplifying The Complexities
Join us to learn some of the most advanced ways to leverage Data Models on the Salesforce1 Platform, including polymorphism in Salesforce objects relationships, properly processing and managing one-to-many relationships between objects, updating objects via Metadata API, and properly tracking deleted records. We will share our experience of applying these sophisticated techniques as a part of Implisit's platform.
Loading Data into the Analytics Cloud with Apex
One of the core advantages of the Salesforce Analytics Cloud is the ability to process extremely large data sets without sacrificing performance. Building those data sets is not always easy. Vendor tools do a great job but can be expensive and, in some cases, organizations need complete control over their data transformations. In this session, we will explore the different native options available for loading data into the Analytics Cloud, and review the pros and cons of using Apex. We will demonstrate a simple data loader app built with the Analytics Cloud simple API.
Quickly Create Data Sets for the Analytics Cloud
Using Dataset Builder or middleware to push Salesforce data to the Analytics Cloud can be time-consuming. Join us as we talk about the inefficiencies and go over a simple tool that allows you to create data sets in just a few clicks.
Extreme Salesforce Data Volumes Webinar
Following best practices can help ensure your success. This is especially true for Force.com applications or large Salesforce orgs that have the potential to push platform limits.
Salesforce allows you to easily scale up from small to large amounts of data. Mostly this is seamless, but as data sets get larger, the time required for certain operations may grow too. Join us to learn different ways of designing and configuring data structures and planning a deployment process to significantly reduce deployment times and achieve operational efficiency.
Watch this webinar to:
:: Explore best practices for the design, implementation, and maintenance phases of your app's lifecycle.
:: Learn how seemingly unrelated components can affect one another and determine the ultimate scalability of your app.
:: See live demos that illustrate innovative solutions to tough challenges, including the integration of an external data warehouse using Force.com Canvas.
:: Walk away with practical tips for putting best practices into action.
Intended Audience
This webinar is perfect for Salesforce or Force.com architects and developers that want to better understand data management best practices to ensure both short and long-term implementation success. Although many topics focus on large data volumes, the recommendations in this presentation are equally relevant to smaller orgs.
AI and Salesforce
How do you uncover the secret information, buried in your Salesforce data, without being an expert report analyst? The new world of Natural Language Discovery and Machine Learning holds the key. Salesforce is at the cutting edge of artificial intelligence and has partnered with leading AI companies to deliver solutions. Learn how Salesforce APIs are used, and innovative solutions that will soon be available to you.
Salesforce enabling real time scenarios at scale using kafka
Nishant Gupta from Salesforce talked about Ajna, a service for monitoring system health across global data centers in real time, and how Kafka is at the center of this system. The talk covers the scenario, key challenges, learnings and best practices.
How One Billion Salesforce records Can Be Replicated with Minimal API Usage
My presentation from Dreamforce '14
Bringing the Power of Big Data Computation to Salesforce
Apache Hadoop and Spark are best-of-breed technologies for distributed processing and storage of very large data sets: Big Data. Join us as we explain how to integrate Salesforce with off-the-shelf big data tools to build flexible applications. You'll also learn how Force.com is evolving in this area and how Big Objects and Data Pipelines will provide Big Data capability within the platform.
PROGRAMANDO CON MSWLOGO
Por http://www.areatecnologia.com APRENDE A PROGRAMAR EN LENGUAJE MSWLOGO DE FORMA FACIL Y DIVERTIDA
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Destacado
Salesforce Data Models for Pros: Simplifying The Complexities
Join us to learn some of the most advanced ways to leverage Data Models on the Salesforce1 Platform, including polymorphism in Salesforce objects relationships, properly processing and managing one-to-many relationships between objects, updating objects via Metadata API, and properly tracking deleted records. We will share our experience of applying these sophisticated techniques as a part of Implisit's platform.
Loading Data into the Analytics Cloud with Apex
One of the core advantages of the Salesforce Analytics Cloud is the ability to process extremely large data sets without sacrificing performance. Building those data sets is not always easy. Vendor tools do a great job but can be expensive and, in some cases, organizations need complete control over their data transformations. In this session, we will explore the different native options available for loading data into the Analytics Cloud, and review the pros and cons of using Apex. We will demonstrate a simple data loader app built with the Analytics Cloud simple API.
Quickly Create Data Sets for the Analytics Cloud
Using Dataset Builder or middleware to push Salesforce data to the Analytics Cloud can be time-consuming. Join us as we talk about the inefficiencies and go over a simple tool that allows you to create data sets in just a few clicks.
Extreme Salesforce Data Volumes Webinar
Following best practices can help ensure your success. This is especially true for Force.com applications or large Salesforce orgs that have the potential to push platform limits.
Salesforce allows you to easily scale up from small to large amounts of data. Mostly this is seamless, but as data sets get larger, the time required for certain operations may grow too. Join us to learn different ways of designing and configuring data structures and planning a deployment process to significantly reduce deployment times and achieve operational efficiency.
Watch this webinar to:
:: Explore best practices for the design, implementation, and maintenance phases of your app's lifecycle.
:: Learn how seemingly unrelated components can affect one another and determine the ultimate scalability of your app.
:: See live demos that illustrate innovative solutions to tough challenges, including the integration of an external data warehouse using Force.com Canvas.
:: Walk away with practical tips for putting best practices into action.
Intended Audience
This webinar is perfect for Salesforce or Force.com architects and developers that want to better understand data management best practices to ensure both short and long-term implementation success. Although many topics focus on large data volumes, the recommendations in this presentation are equally relevant to smaller orgs.
AI and Salesforce
How do you uncover the secret information, buried in your Salesforce data, without being an expert report analyst? The new world of Natural Language Discovery and Machine Learning holds the key. Salesforce is at the cutting edge of artificial intelligence and has partnered with leading AI companies to deliver solutions. Learn how Salesforce APIs are used, and innovative solutions that will soon be available to you.
Salesforce enabling real time scenarios at scale using kafka
Nishant Gupta from Salesforce talked about Ajna, a service for monitoring system health across global data centers in real time, and how Kafka is at the center of this system. The talk covers the scenario, key challenges, learnings and best practices.
How One Billion Salesforce records Can Be Replicated with Minimal API Usage
My presentation from Dreamforce '14
Bringing the Power of Big Data Computation to Salesforce
Apache Hadoop and Spark are best-of-breed technologies for distributed processing and storage of very large data sets: Big Data. Join us as we explain how to integrate Salesforce with off-the-shelf big data tools to build flexible applications. You'll also learn how Force.com is evolving in this area and how Big Objects and Data Pipelines will provide Big Data capability within the platform.
PROGRAMANDO CON MSWLOGO
Por http://www.areatecnologia.com APRENDE A PROGRAMAR EN LENGUAJE MSWLOGO DE FORMA FACIL Y DIVERTIDA
Destacado (13)
Salesforce Data Models for Pros: Simplifying The Complexities
Salesforce Data Models for Pros: Simplifying The Complexities
Salesforce enabling real time scenarios at scale using kafka
Salesforce enabling real time scenarios at scale using kafka
How One Billion Salesforce records Can Be Replicated with Minimal API Usage
How One Billion Salesforce records Can Be Replicated with Minimal API Usage
Bringing the Power of Big Data Computation to Salesforce
Bringing the Power of Big Data Computation to Salesforce