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SAP Data Intelligence Online Training

Rated #1 Recoginized as the No.1 Institute for SAP Data Intelligence Online Training

Enhance your career with SAP Data Intelligence Online Training. Gain hands-on experience and career opportunities in data management and analytics with recognized SAP Data Intelligence certification.

Upon completing the SAP Data Intelligence Course Online, data integration and data pipeline management. You’ll work on real-world projects and orchestrate data across various systems, and leverage advanced analytics for better using SAP’s robust data intelligence platform.

  • Enroll in SAP Data Intelligence Certification Training to advance your career.
  • Benefit from job placement support and connect with top employers in data analytics.
  • Unlock job opportunities with top companies seeking SAP Data Intelligence professionals.
  • Learn to build data pipelines, automate workflows, and process data with SAP Data Intelligence.
  • Gain hands-on experience with SAP tools for data integration, machine learning, and analytics.
  • Access affordable, accredited SAP Data Intelligence Training for success in data management.

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    80 Hrs.

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        Learn the Resourceful SAP Data Intelligence Course

        • Our extensive SAP Data Intelligence course is made to give students the abilities and information required to use SAP's cutting-edge data management and integration platform.
        • This course requires a basic understanding of data concepts, familiarity with databases and SQL, and perhaps some knowledge of a programming language, such as Python or Java.
        • This course will help participants understand the fundamental ideas and architecture of SAP Data Intelligence, along with its features, components, and capabilities.
        • This course offers participants a useful, hands-on learning experience in leveraging SAP Data Intelligence for various data-related tasks. It covers a wide range of topics related to data processing, integration, governance, and analytics.
        • We offer our SAP Data Intelligence courses in three different formats like self-paced online courses and virtual instructor-led sessions. These formats offer flexibility to suit various schedules and learning styles.
        • After this course, we help students find relevant job opportunities through our placement assistance program. This could involve creating a CV, getting ready for interviews, and networking with possible employers.
        • Throughout this course, students will be exposed to real-world use cases and best practices to help them understand how SAP Data Intelligence can be applied successfully in a variety of scenarios and industries.

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        Curriculum

        Syllabus of SAP Data Intelligence Online Training
        Module 1: Introduction to SAP Data Intelligence
        • Overview of SAP Data Intelligence
        • Key features and benefits
        • Architecture and components
        • Integration with other SAP solutions
        Module 2: Data Ingestion
        • Overview of data ingestion
        • Configuration and deployment of data pipelines
        • Use of adapters to connect to different data sources
        • Real-time data ingestion using Apache Kafka
        • Understanding the other data sources
        • Connecting to data sources
        • Data ingestion techniques
        • Configuring data pipelines
        Module 3: Data Processing
        • Overview of data processing
        • Data transformations using the Graphical Pipeline Editor
        • Use of Python and R scripts for data processing
        • Batch and real-time data processing
        • Data preparation and transformation
        • Understanding the different data formats
        • Transforming data using SQL
        • Configuring data quality checks
        Module 4: Data Modeling
        • Overview of data modeling
        • Machine learning algorithms for data modeling
        • Creating and deploying machine learning models
        • Predictive analytics using SAP HANA
        • Machine learning algorithms
        • Creating machine learning models
        • Model training and evaluation
        • Advanced modeling techniques
        Module 5: Data Governance
        • Overview of data governance
        • Creating and managing data catalogs
        • Data quality management
        • Data security and compliance
        • Data cataloging and metadata management
        • Governing data access and security
        • Data lineage and tracking
        Module 6: Automation and Orchestration
        • Creating workflows
        • Scheduling and monitoring workflows
        • Automating data processes
        Module 7: Advanced Analytics
        • Predictive modeling techniques
        • Data visualization techniques
        • Analyzing streaming data
        • Using SAP Data Intelligence for real-time analytics
        Module 8: Integration with Other SAP Solutions
        • Integration with SAP HANA
        • Integration with SAP Analytics Cloud
        • Integration with SAP Business Warehouse
        • Integration with SAP HANA
        • Integration with SAP Analytics Cloud
        • Integration with SAP Business Warehouse
        Module 9: SAP Concur Travel
        • Logging into Concur Travel & Expense
        • Exploring the My Concur Homepage
        • Updating Your Travel Profile
        • Changing a Trip
        • Working with Travel Templates
        • Sharing a Trip Reservation
        • Using Locate and Alert
        • Cloning a Travel Reservation
        • Concur Open Booking
        • Creating a Travel Reservation
        Module 10: Integrations
        • Understanding SAP Concur integrations with other systems
        • Setting up and configuring integrations
        • Managing data exchange between SAP Concur and other systems
        Module 11: Troubleshooting and support
        • Understanding common issues and errors in SAP Concur
        • Troubleshooting and resolving issues
        • Contacting support and accessing help resources
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        Course Objectives

        Our SAP Data Intelligence Certification verifies proficiency with SAP's cutting-edge platform for data integration, orchestration, and management. It exhibits expertise in using SAP Data Intelligence to spur insights, creativity, and operational effectiveness, improving employment prospects in the quickly changing data landscape.
        • Enhanced Skills
        • Industry Relevance
        • Career Advancement
        • Increased Efficiency
        • Competitive Edge
        • Placement Assistance
        Our SAP Data Intelligence training is perfect for data engineers, architects, scientists, SAP consultants, and IT professionals looking to expand their knowledge in data integration, orchestration, and management. It is also advantageous for businesses looking to use SAP Data Intelligence for sophisticated data analytics and insights.
        • Overview of Data Integration and Orchestration
        • The architecture of SAP Data Intelligence
        • Installation and Setup of SAP Data Intelligence
        • Data Pipelines and Flowgraphs
        • Big Data Management
        • Streaming Data Analytics
        The extensive features and advanced functionalities of SAP Data Intelligence can make it challenging. However, people can effectively understand its concepts and use its capabilities for effective data integration, management, and analytics with the correct instruction, commitment, and real-world experience.
        • Data Engineer
        • Data Architect
        • Data Scientist
        • Business Intelligence Analyst
        • Big Data Engineer
        • Machine Learning Engineer
        Yes, the SAP Data Intelligence training is designed for beginners. It offers a structured learning path that covers basic concepts, practical applications, and hands-on exercises. With perseverance and dedication, beginners can learn SAP Data Intelligence from scratch and gain a strong understanding.
        By creating opportunities in data engineering, analytics, and consulting roles, completing a SAP Data Intelligence training can greatly expedite professional growth. Professionals with SAP Data Intelligence experience can drive innovation, take on leadership roles, and command higher salaries in the quickly changing data industry.
        • Setting up and configuring SAP Data Intelligence environments
        • Designing and executing data pipelines
        • Integrating with various data sources
        • Performing data transformations and analytics
        • Implementing machine learning models
        Yes, you can become certified after completing the SAP Data Intelligence training. SAP certifications are very reliable and well-regarded by employers and industry experts worldwide. They bolster your credibility in the industry and improve your career prospects by attesting to your proficiency with SAP technologies.
        • Translating scenarios into executable code via SpecFlow step definitions
        • Automating web UI tests by integrating SpecFlow with Selenium WebDriver
        • Parameterizing tests and conducting data-driven testing
        • We are configuring SpecFlow tests for continuous integration pipelines
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        An Overview Of SAP Data Intelligence

        An advanced platform called SAP Data Intelligence is made to orchestrate, integrate, and manage data from various sources and formats inside an organization. With the use of advanced analytics and machine learning capabilities, it helps businesses to improve data quality, expedite workflows, and extract useful insights. With capabilities like real-time processing, metadata management, and data pipelines, SAP Data Intelligence enables businesses to fully utilize their data assets, spurring innovation and giving them a competitive edge in today's data-driven market.

         

        Additional Info

        Top Tools and Technologies Used in SAP Data Intelligence

        • SAP HANA: SAP HANA, the company's in-memory database platform, is frequently integrated with SAP Data Intelligence to enable high-performance data processing and analytics.
        • Apache Kafka: SAP Data Intelligence pipelines frequently use Apache Kafka, a well-liked distributed streaming platform, for real-time data ingestion and processing.
        • Apache Spark: With SAP Data Intelligence, Apache Spark is used for massive data processing and analytics, offering sophisticated features for data transformations and machine learning.
        • TensorFlow: For the purpose of creating and implementing machine learning models, SAP Data Intelligence frequently integrates TensorFlow, an open-source machine learning framework.
        • Apache Airflow: In SAP Data Intelligence environments, Apache Airflow is used to orchestrate and manage complex data workflows and pipelines.
        • Python: Python is a popular programming language for scripting, data manipulation, and analysis. It is often used for custom data processing tasks in SAP Data Intelligence projects.
        • Docker: Docker containers offer scalability and flexibility in managing infrastructure resources, and they are frequently used for the deployment and operation of SAP Data Intelligence components.
        • Kubernetes: SAP Data Intelligence deployments use Kubernetes for container orchestration, which makes it possible to manage containerized services and apps effectively.
        • Apache Hadoop: For processing and storing massive amounts of data, SAP Data Intelligence is frequently integrated with Apache Hadoop and its ecosystem of tools, including HDFS and MapReduce.
        • Jupyter Notebooks: Jupyter Notebooks are interactive computing environments that are frequently used for experimentation and prototyping in SAP Data Intelligence projects. They are useful for data exploration, visualization, and collaborative analysis.

        Trends and Techniques Used in SAP Data Intelligence

        • Real-time Data Processing: SAP Data Intelligence uses methods like stream processing and event-driven architectures to enable real-time data processing and analytics in response to the growing significance of real-time insights.
        • Machine Learning Integration: SAP Data Intelligence enables advanced analytics, predictive modeling, and anomaly detection through integration with machine learning frameworks such as TensorFlow and PyTorch.
        • Data Governance and Compliance: Within SAP Data Intelligence, there is an increasing focus on data governance and compliance, which includes methods for managing metadata, tracking data lineage, and guaranteeing regulatory compliance.
        • Hybrid Data Integration: An enterprise-wide unified view of data is made possible by SAP Data Intelligence's support for hybrid data integration techniques, which allow data from on-premises systems, cloud environments, and edge devices to be seamlessly integrated.
        • Containerization and Microservices: While microservices architecture promotes modular development and simpler maintenance, containerization technologies like Docker and Kubernetes enable flexible deployment and scalability of SAP Data Intelligence components.
        • DataOps Practices: In order to increase agility, dependability, and efficiency in data operations, SAP Data Intelligence projects are increasingly utilizing DataOps principles, such as cooperation, automation, and continuous integration/continuous deployment (CI/CD).
        • Data Mesh Architecture: To address the issues of distributed data environments, SAP Data Intelligence is investigating data mesh architecture principles, which center on decentralized data ownership, domain-oriented data products, and self-serve data infrastructure.
        • AutoML and Augmented Analytics: With the help of augmented analytics features and autoML (automated machine learning) capabilities, SAP Data Intelligence democratizes data science and increases the accessibility of advanced analytics for business users and subject matter experts.
        • Data Cataloging and Discovery: SAP Data Intelligence environments utilize various techniques for data cataloging and discovery, such as metadata management, data lineage, and semantic annotation, to facilitate effective data exploration and discovery.
        • Ethical AI and Responsible Data Practices: SAP Data Intelligence includes techniques for ethical AI and responsible data practices, such as bias detection, fairness assessment, and transparency in AI models and decision-making processes, as ethical considerations in data analytics become more and more important.

        Roles and Responsibilities of SAP Data Intelligence Experts

        • Data Engineer: creating, building, and managing workflows and data pipelines for SAP Data Intelligence in order to streamline data processing, transformation, and intake.
        • Data Architect: scalability, performance, and data integrity throughout the organization's data landscape are ensured by designing and implementing data architectures and models within SAP Data Intelligence.
        • Data Scientist: leveraging SAP Data Intelligence's machine learning and advanced analytics features to create predictive models, carry out data mining, and extract useful insights from data.
        • SAP Consultant: offering proficiency in the setup, integration, and deployment of SAP Data Intelligence with other SAP systems while guaranteeing adherence to best practices and organizational requirements.
        • Business Intelligence Analyst: utilizing the reporting and data visualization capabilities of SAP Data Intelligence to produce dashboards, reports, and data visualizations that give business stakeholders useful information.
        • Data Governance Specialist: putting in place data governance procedures, guidelines, and controls within SAP Data Intelligence to guarantee data security, compliance, and quality throughout the enterprise.
        • Solution Architect: utilizing SAP Data Intelligence to architect end-to-end solutions that meet business needs and strategic goals while coordinating technical capabilities.
        • DevOps Engineer: To expedite the deployment, testing, and monitoring of data pipelines and applications, SAP Data Intelligence is implementing CI/CD pipelines and automation workflows.
        • Cloud Architect: creating and executing SAP Data Intelligence cloud-based deployments and architectures on open cloud services like AWS, Azure, or Google Cloud Platform.

        Requirements for Enrolling in the SAP Data Intelligence Course

        • Basic Understanding of Data Concepts: Understanding databases, data structures, and data formats, basic data concepts is frequently helpful when attempting to comprehend SAP Data Intelligence.
        • Familiarity with SAP Systems: Understanding SAP systems and technologies can be helpful in comprehending the integration and interoperability aspects of SAP Data Intelligence, though it is not always necessary.
        • Programming Skills: Working with SAP Data Intelligence may benefit from having a basic understanding of programming in languages like Python, SQL, or Java, particularly for tasks requiring data manipulation, scripting, or custom development.
        • IT Background: Since it offers a strong basis for comprehending the technical facets of SAP Data Intelligence, such as system architecture, networking, and security, a background in computer science or information technology is frequently preferred.
        • Experience with Data Tools: Although it's not always necessary, prior experience with analytics, data integration, or visualization tools may be advantageous. Possessing knowledge of programs like TensorFlow, Apache Spark, or Apache Kafka can be helpful.
        • Educational Background: Our SAP Data Intelligence course may suggest or mandate a minimum level of education, such as a bachelor's degree in a relevant field, though this is not always a strict requirement.

        SAP Data Intelligence Career Prospects

        • Data Engineer: In charge of creating, constructing, and maintaining workflows and data pipelines within SAP Data Intelligence to enable data processing, transformation, and integration.
        • Data Architect: creates and applies data models and architectures in SAP Data Intelligence to guarantee data integrity, performance, and scalability throughout the enterprise.
        • Data Scientist: builds predictive models, conducts data mining, and extracts useful insights from data by utilizing SAP Data Intelligence's machine learning and advanced analytics features.
        • SAP Consultant: offers proficiency in the setup, integration, and deployment of SAP Data Intelligence with other SAP systems, guaranteeing compliance with best practices and organizational requirements.
        • Business Intelligence Analyst: uses the reporting and data visualization capabilities of SAP Data Intelligence to produce dashboards, reports, and data visualizations that give business stakeholders useful information.
        • Data Governance Specialist: carries out SAP Data Intelligence data governance procedures, policies, and controls to guarantee data security, compliance, and quality throughout the enterprise.
        • Solution Architect: Architects complete solutions utilizing SAP Data Intelligence to meet strategic goals and resolve business obstacles while coordinating technical resources with operational demands.
        • DevOps Engineer: simplifies the deployment, testing, and monitoring of data pipelines and applications by implementing CI/CD pipelines and automation workflows within SAP Data Intelligence.
        • Cloud Architect: Creates and executes SAP Data Intelligence cloud-based architectures and deployments on public cloud platforms like AWS, Azure, or Google Cloud Platform.
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        Hands-on Real Time SAP Data Intelligence Projects

        Project 1
        Real-time Data Processing Pipeline

        In this project, students Create targeted campaigns, manages leads, segments, and analyzes data to boost sales.

        Project 2
        Data Governance Dashboard

        Students Monitor data usage, access, and compliance with regulatory requirements using SAP Data Intelligence.

        Get the Impactful Sap Data Intelligence Job Support

        • We offer SAP Data Intelligence course with comprehensive job support assistance and counseling to ensure students have the best opportunities for rewarding employment in the industry.
        • We provide resume building, mock interviews, and tips on how to highlight relevant experience and skills in your resume when it comes to interview preparation.
        • Our SAP Data Intelligence job support team offers assistance in completing tasks or assignments pertaining to SAP Data Intelligence, such as problem-solving, performance optimization, and solution implementation.
        • Jobs at respectable companies like HCL, Wipro, Dell, HP, Accenture, Google, CTS, TCS, and others are available through our SAP Data Intelligence job support program.
        • We offer guidance on skill development and professional growth opportunities in addition to helping identify career paths within the SAP Data Intelligence field through our job support program.
        • Upon completing 60% percent of the SAP Data Intelligence course material, we engage with learners to arrange interviews and provide guidance for in-person meetings.

        Get Industry Recognized SAP Data Intelligence Certification

        Our SAP Data Intelligence Certification is a credential that validates an individual's proficiency in utilizing the SAP Data Intelligence platform for data management, integration, and analytics. This certification program equips participants with the skills and knowledge required to design, implement, and optimize data-driven solutions using SAP Data Intelligence. It covers many topics, including data pipeline modeling, metadata management, machine learning model deployment, and advanced analytics.

        Of course, earning an SAP Data Intelligence certification can improve career opportunities by showing proficiency in data integration and analysis. However, getting a job also depends on market demand, real-world experience, and personal abilities beyond certification.
        You can pursue multiple SAP Data Intelligence course certifications to expand your knowledge and skill set further. Various certifications cater to different levels of expertise and specific areas within SAP Data Intelligence.
        • SAP Certified Application Associate - SAP Data Intelligence 3. x
        • SAP Certified Technology Associate - SAP Data Intelligence 3. x
        • Validation of expertise and proficiency in SAP Data Intelligence
        • Enhanced career prospects and job opportunities in data management, analytics, and consulting roles
        • Recognition and credibility within the industry
        Certainly, obtaining a SAP Data Intelligence certification can increase one's value to employers and result in a pay increase as it shows specialized knowledge of data integration and analysis. However, factors like job role, industry demand, and individual negotiation determine how much the pay increase is.

        Complete Your Course

        a downloadable Certificate in PDF format, immediately available to you when you complete your Course

        Get Certified

        a physical version of your officially branded and security-marked Certificate.

        Get Certified

        Boost Your Career With Our Sap Data Intelligence Trainers

        • Most of our SAP Data Intelligence trainers are seasoned professionals with knowledge of analytics, data management, and the SAP ecosystem.
        • They are skilled at providing instruction that incorporates both theoretical ideas and practical exercises, and they frequently have a wealth of real-world experience using SAP Data Intelligence in a variety of industries.
        • To deliver pertinent and current SAP Data Intelligence Online Training, our trainers keep up with the most recent advancements in SAP Data Intelligence and related technologies.
        • Our trainers integrate real-world knowledge into the learning process by drawing on their extensive expertise from renowned IT firms like IBM, Accenture, Infosys, and Deloitte.
        • Strong teaching and communication abilities enable our SAP Data Intelligence trainers to successfully explain difficult ideas and methods to students from a variety of backgrounds.
        • To ensure that participants are successful in their SAP Data Intelligence learning journey and career objectives, our SAP Data Intelligence trainers frequently provide advice, support, and mentoring.

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              Updated Syllabus

              Updated and Industry-relevant Course Curriculum With Hands-on Learning.

              Outdated Curriculum With Limited Practical Training.

              Hands-on projects

              Real-world Projects With Live Case Studies and Collaboration With Companies.

              Basic Projects With Limited Real-world Application.

              Certification

              Industry-recognized Certifications With Global Validity.

              Basic Certifications With Limited Recognition.

              Placement Support

              Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

              Basic Placement Support

              Industry Partnerships

              Strong Ties With Top Tech Companies for Internships and Placements

              No Partnerships, Limited Opportunities

              Batch Size

              Small Batch Sizes for Personalized Attention.

              Large Batch Sizes With Limited Individual Focus.

              LMS Features

              Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

              No LMS Features or Perks.

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              Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

              Limited Mentor Support and No After-hours Assistance.

              Sap Data Intelligence Course FAQ

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              Call now: +91-7669 100 251 and know the exciting offers available for you!
              • ACTE excels in providing placement opportunities for students. Explore our website to view the list of successfully Placed Students List
              • We boast strong relationships with over 700+ top MNCs such as SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, and more
              • In the past year, we've placed more than 3500 students in India and across the globe
              • ACTE conducts development sessions, including mock interviews and presentation skills, to prepare students for challenging interview situations
              • With an 85% placement record, our Placement Cell is dedicated to supporting you until you secure a position in a reputable MNC
              • Access your Student Portal for free lifetime online support. Gain access to job openings, study materials, videos, recorded sections, and top MNC interview questions
              Our SAP Data Intelligence Certification is reputable, validating proficiency in the platform. It signifies expertise in leveraging SAP's data management and integration tools. Earning this certification can enhance career prospects and credibility in the field of data analytics and SAP technologies.
              • Participate in live projects as an integral component of yourSap Data Intelligence Technology Platform (BTP) coursework
              • Immerse yourself in real world scenarios through hands-on experiences offered within the course curriculum
              • Collaborate with industry professionals to gain practical insights and skills directly applicable to the field
              • Utilize the opportunity to apply theoretical knowledge in a practical setting, fostering a deeper understanding of SAP BTP concepts
              ACTE's instructors are industry practitioners with at least 9-12 years of pertinent IT expertise. They excel as subject matter authorities and undergo specialized training by ACTE to deliver exceptional learning experiences.
              If you miss one or more classes in the SAP Data Intelligence course, ACTE offers resources to catch up, including recorded sessions and supplementary materials. Additionally, instructors are available for clarification and support to ensure you remain on track with the curriculum.
              Our course is available in Classroom, OnetoOne Training, Fast Track, Customised Training & Online Training modes, providing you with flexibility to manage it alongside your real life commitments seamlessly.

              Why Should I Learn Sap Data Intelligence Course At ACTE?

              • Learn Sap Data Intelligence from seasoned experts with over 7+ years of industry experience, exclusively at ACTE
              • Benefit from a unique blend of theory and practical sessions, making us the leading institution in India
              • Get comprehensive course coverage with over 60+ hours of in-depth learning
              • Join a trusted community of over 50,000 students who have chosen ACTE for their Sap Data Intelligence journey
              Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
              You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
              We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
              Our team of technical support is ready to help you with any challenges you might face. You can contact them either via email or by utilizing the support feature available on our online platform.
              Our courseware is designed to give a hands-on approach to the students in Sap Data Intelligence . The course is made up of theoretical classes that teach the basics of each module followed by high intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
              You can contact our support number at +91 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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