Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Intelligent Data Integration Course Key Features 100% Money Back Guarantee
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5 Weeks Training
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Certificate of Training
From Industry Intelligent Data Integration Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
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Placement Assistance
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
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Intelligent Data Integration Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Intelligent Data Integration Course Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Big Data and hadoop technologies :
Syllabus of Intelligent Data Integration Online Course Download syllabus
- 1. Load data from multiple sources
- 2. oin data sets Write to multiple data files, grouped by key fields
- 1. Format data sets
- 2. Find and replace delimiters
- 3.Split fields into multiple columns
- 1. Using conditional statements in formulas
- 2. Format Date/Time fields
- 3. Use values from previous/subsequent rows in formulas.
- 1. Filter
- 2. Summarize
- 3. Browse
- 4. Union
- 5. Join Multiple
- 6. Input Data
- 7. Formula
- 8. Join
- 9. Output Data
- 10. Date Filter
- 11. Generate Row
- 1. Summarize data by groups
- 2. Sort data
- 3. Extract a specified portion of records from the data
- 4. Pivot the orientation of a data table
- 1. Use Regular Expressions for data parsing dynamically rename fields
- 1. Basic Solr Project For Providing Search Capability(Like Google Search Engine)
- 1. Add text to reports and documents
- 2. Arrange reporting snippets
- 3. Create presentation quality reports in various formats
- 1. Create a workflow that can run as a single tool in another workflow
- 2. Create input parameters for passing data to a macro tool
- 3. Display output arrows on a macro tool
- 1.Create Analytic App Workflows that can be run by consumers
- 1. Retrieve data from url
- 2. API call through REST architecture.
- 3. Google Analytics, Google Adwords, SimilarWeb, Sistrix(SEO tool), Facebook Analytics
- 1. Create a macro that will run through every record and then loop the records back through the workflow, repeating the entire process as many times
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Intelligent Data Integration Online Training Objectives
- Intelligent data integration refers to the process of combining and managing data from multiple sources in a way that is efficient, accurate, and consistent. This process often involves using advanced technologies such as machine learning, artificial intelligence, and automation.
- To provide a comprehensive understanding of intelligent data integration concepts and techniques.
- To enable learners to use data integration tools and technologies to extract, transform, and load data from various sources.
- To help learners understand the role of artificial intelligence and machine learning in data integration and analytics.
- The scope of an Intelligent Data Integration Certification Course is to provide participants with the skills and knowledge needed to integrate and manage data from different sources using intelligent systems and technologies.
- This may include learning about data integration tools, techniques, and best practices, as well as understanding how to leverage AI and machine learning algorithms to automate and streamline data integration processes.
- Data integration is becoming increasingly important in today's world, where data is being generated at an unprecedented rate.
- As a result, there is a growing need for skilled professionals who can manage and integrate this data efficiently.
- Intelligent data integration, which involves the use of AI and machine learning to automate data integration processes, is a rapidly growing field.
- However, in general, there is a growing demand for professionals who can perform intelligent data integration, which involves the process of combining data from different sources and formats to create a unified and usable view of the data.
- Certification courses in intelligent data integration can help individuals develop the skills and knowledge required to perform this task effectively. The certification can also serve as a valuable credential to demonstrate expertise to potential employers and clients.
- Complete practice exercises: Most certification providers offer practice exercises or sample questions to help you prepare for the exam. These exercises are designed to test your understanding of the course material and identify areas where you need more practice.
- Data Integration Developer
- Data Integration Architect
- ETL Developer
- Data Engineer
- Data Analyst
- Data modeling: The ability to create data models that capture the relationships between different data elements, and the ability to use these models to inform data integration.
- Data profiling: The ability to analyze and understand the characteristics of different data sets, including their structure, quality, and completeness.
- Data transformation: The ability to transform data from one format to another, using tools such as ETL (extract, transform, load) processes and data mapping.
- Some courses may require participants to have a basic understanding of data integration, data warehousing, and related technologies.
- Participants may need to have some experience with programming languages, such as Python or SQL, and knowledge of database management systems.
- Improved data management skills: The course provides a comprehensive understanding of data integration, data governance, and data quality management, which can help individuals enhance their data management skills.
- Career advancement opportunities: With the increasing demand for professionals who can integrate and manage large volumes of data, the certification course can help individuals improve their job prospects and career advancement opportunities.
Exam & Certification
- Participate and Complete One batch of Intelligent Data Integration Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Intelligent Data Integration course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
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Pranav Srinivas
Software Testing, CapgeminiIntelligent Data Integration Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
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- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.