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Key characteristics of cloud computing Advantages/Disadvantages Classification of Cloud Computing Based on as a service model SAAS (Software as a service) PAS (Platform as a service) IAAS (Infrastructure as a service Based on deployment or access model Cloud Private Cloud Hybrid Cloud Cloud Overview: Sales Cloud Service Cloud Collaboration Cloud Project development life cycle Sales force editions Apex data loader Customization: Create custom profiles & custom fields Define dependent pick list Customize lookup fields Customize validation & formulas Customize page layouts Customize standard related lists Use field-level security Analytics: Create custom reports Use advanced filters Use conditional highlighting Use custom summary formulas Use dashboards Extending Salesforce CRM: Learn about custom objects Learn about custom tabs Learn about custom web tabs Apex Scheduling: Triggers Invoking Apex Classes, Objects and Interfaces Testing Apex Dynamic Apex Batch Apex Debugging Apex Deploying Apex Developing Apex in managed packages sObjects and the Database What is an sObject SOQL and SOSL Queries Our more course are: Java AWS MEAN Stack Hadoop Linux Data Scientist Python RPA(Robotic Process Automation) Salesforce DevOps Web Development(PHP) Digital Marketing Machine learning Mobile. 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Get more info: https://www.inovitechnologies.com/Corporate-Training/Best-Artificial-Intelligence-training-institute-in-noida/ Artificial Intelligence categories are as follows: Type 1: Reactive machines. An example is deep blue, the IBM chess program that beat garry kasparov in the 1990s. deep blue can identify pieces on the chess board and make predictions, but it has no memory and cannot use past experiences to inform future ones. It analyzes possible moves -- its own and its opponent -- and chooses the most strategic move. deep blue and google's alphago were designed for narrow purposes and cannot easily be applied to another situation. Type 2: Limited memory. These AI systems can use past experiences to inform future decisions. some of the decision- making functions in self-driving cars are designed this way. observations inform actions happening in the not-distant future, such as a car changing lanes. These observations are not stored permanently. Type 3: Theory of mind. 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To get more info: https://www.inovitechnologies.com/Corporate-Training/Best-hadoop-Training-Institute-in-noida/ Course Content Introduction to big data and Hadoop Hadoop Architecture Installing Ubuntu with Java 1.8 on VM Workstation 11 Hadoop Versioning and Configuration Single Node Hadoop 1.2.1 installation on Ubuntu 14.4.1 Multi Node Hadoop 1.2.1 installation on Ubuntu 14.4.1 Linux commands and Hadoop commands Cluster architecture and block placement Modes in Hadoop Local Mode Pseudo Distributed Mode Fully Distributed Mode Hadoop Daemon Master Daemons(Name Node, Secondary Name Node, Job Tracker) Slave Daemons(Job tracker, Task tracker) Task Instance Hadoop HDFS Commands Accessing HDFS CLI Approach Java Approach Our more course are: Java AWS MEAN Stack Hadoop Linux Data Scientist Python RPA(Robotic Process Automation) Salesforce DevOps Web Development(PHP) Digital Marketing Mobile. 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