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We are providing Online, Classroom & Corporate Trainings
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is one of the leading IT Online Trainings Institute in Hyderabad, India
. We do not only believe in training our trainees, we believe in real time knowledge and experience so that students can land up job easily at the completion of the course.
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Hadoop is an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.
A Feature-Rich ETL Tool. Talend Open Studio for Data Integration helps you to efficiently and effectively manage all facets of data extraction, data transformation, and data loading. The ability to execute extract, load, and transform (ELT) processes as well as ETL
SAP Fiori is a framework that provides the porting of applications on mobile devices announced on 15 May 2013. SAP Fiori is based on SAP's technology platform called NetWeaver. It enables applications to be used on desktop computers, tablets and smartphones. SAP Fiori supports HTML5.
Informatica etl tool is market leader in data integration and data quality services. Informatica is successful ETL and EAI tool with significant industry coverage. ETL refers to extract, transform, load. Data integration tools are different from other software platforms and languages.
SAP FI stands for Financial Accounting and it is one of important modules of SAP ERP. It is used to store the financial data of an organization. SAP FI helps to analyze the financial conditions of a company in the market. It can integrate with other SAP modules like SAP SD, SAP PP, SAP MM, etc.
An interpreted language, Python has a design philosophy which emphasizes code readability (notably using whitespace indentation to delimit code blocks rather than curly brackets or keywords), and a syntax which allows programmers to express concepts in fewer lines of code
SAP HANA is an in-memory platform for processing high volumes of data in real-time. HANA allows data analysts to query large volumes of data in real-time. HANA's in-memory database infrastructure frees analysts from having to load or write-back data.