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Rainbow Training Institute is a leading training institute offering job oriented Oracle Fusion Finance Functional Online Training with experiance faculty with online support on Oracle Fusion Finance Functional Online Training in Hyderabad, Pune, Chennai, Mumbai, Bangalore. ORACLE FUSION PROCUREMENT COURSE CONTENT: FUNCTIONAL SETUP MANAGER OVERVIEW Getting Started in Oracle Fusion Applications Overview of Oracle Fusion Functional Setup Manager Overview of the Functional Setup Manager Implementation Overview Browsing and Configuring Offerings DEFINE COMMON APPLICATIONS CONFIGURATION Defining Enterprise Structures Configuring Enterprise Structures Overview Defining Geographies Defining Legal Jurisdictions and Authorities Managing Legal Entities Managing Legal Reporting Units Managing Business Units ORACLE FUSION GENERAL LEDGER Defining Chart of Accounts Defining Segment Values Assigning Segment Attributes Validation and Value Sets Assigning Segment Labels Creating Chart of Accounts Structure Chart of Account Instance Create Account Hierarchies Maintain Segment Value Attributes Deploy Flex fields Enabling Account Combinations Manage Segment Value Attributes Defining Segment Value Security Rules Creating Calendar Creating Currency Sharing Ledger Components Across Oracle Applications Accounting Configuration Prerequisites Building the Chart of Accounts Structure Create Account Hierarchies Maintain Segment Value Attributes Deploy Flex fields Enabling Account Combinations Manage Segment Value Attributes Defining Segment Value Security Rules Define Cross Validation Rules Define Data Access Set Define Currencies Define Rate types Import Daily Rates Define Primary Ledger Define Reporting Currencies Reporting Currencies Conversion Levels Define Secondary Ledgers Secondary Ledgers Conversion Levels Secondary Ledgers Mapping Define Secondary to Reporting Currencies Reporting Currencies Conversion Levels Balance Cubes Overview Define Budget Over view of Intercompany Ove

Data is increasing at rapid rate as we can see daily Facebook posts, Twitter data, images, videos and text. Big data analytics is a process to get some useful information from huge amount of data. Big Data analytics is very useful for business users that helps them in generating more revenue, better customer service, better decisions for marketing. Big data is used to do predictive analytics and user behavior analytics.

Data Analyst usually explains what is going on by processing history of the data. On the other hand, Data Scientist not only does the analysis to discover exactly from it, but with this, they need to use various advanced Machine Learning algorithms to identify the occurrence of a particular event in the future. A Data Scientist will look at the data from many angles.

Hadoop is the most popular tool to manage big data. It provides distributed storage (using HDFS) and parallel data processing (using Map Reduce). Hadoop is an ecosystem which consists open source components. Hadoop helps many organizations to store, analyze and process the data in a better manner.

Python is widely using with data science. Data science is one of best trending technology which is going to rule any business in upcoming days. . Data Science applies Mathematical & Statistical ideas & computer tools for processing Big Data.

Big data analytics is a process to get some useful information from huge amount of data. Big Data analytics is very useful for business users that helps them in generating more revenue, better customer service, better decisions for marketing.

Skillful people who want to discover the data and interested to process any type of data with having all the knowledge about various tools, algorithms, and machine learning and for that If you want to start your career with you have to be Data Science certified and for career-oriented people.

Hadoop is a solution of big data. It provides support for many of the tools in the Hadoop ecosystem including Hive, H Base, Pig, Sqoop and Zookeeper. Hadoop is an open-source software framework used for distributed storage and processing of dataset of big data using the Map Reduce programming model.

Hadoop is an open source framework of Apache which is used to store process and analyze data in very big volume. Hadoop is leading Big Data platform used by top IT organizations like Facebook, Google, Yahoo and many more.

The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model.Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.

Most of the organizations are opting AWS Technology in Infrastructure because it is more cheaper and secured so that no need to purchase and create any data centers because once you purchase, then it ready to use on cloud and you have to pay a rent basis of the processing power and volume used by that organization.

Deep learning architectures such as deep neural networks, deep belief networks and recurrent neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics and drug design, where they have produced results comparable to and in some cases superior to human experts.