What is Data Integrity?
Data integrity denotes the consistency or accuracy validation of data in the whole lifecycle of data. It ensures the security of traceability and search-ability of all data in a person's device to the source.
How is Data Integrity used?
Zippia reviewed thousands of resumes to understand how data integrity is used in different jobs. Explore the list of common job responsibilities related to data integrity below:
- Worked on special projects for data integrity of all circuit provisioning databases across the company.
- Maintained data integrity by performing validation checks and also fine-tuned the database objects and server to ensure efficient data retrieval.
- Performed daily operational billing tracking to verify data integrity and eliminated billing errors, including investigation and resolution of variances.
- Provided technical project management, maintaining strict data integrity, eliminating redundancy, and ensuring bullet-proof archival and recovery.
- Perform account audits to ensure data integrity and file quality for multiple clients while maintaining mutually beneficial technological solutions.
- Reduced data integrity risks by assisting developers with creating improved processes that mitigate risk, increase productivity and quality.
Are Data Integrity skills in demand?
Yes, data integrity skills are in demand today. Currently, 17,203 job openings list data integrity skills as a requirement. The job descriptions that most frequently include data integrity skills are building analyst/supervisor, market research coordinator, and information technology quality assurance manager.
How hard is it to learn Data Integrity?
Based on the average complexity level of the jobs that use data integrity the most: building analyst/supervisor, market research coordinator, and information technology quality assurance manager. The complexity level of these jobs is challenging.
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What jobs can you get with Data Integrity skills?
You can get a job as a building analyst/supervisor, market research coordinator, and information technology quality assurance manager with data integrity skills. After analyzing resumes and job postings, we identified these as the most common job titles for candidates with data integrity skills.
Building Analyst/Supervisor
- Data Integrity
- Epiccare
- Financial Reports
- Go-Live
- Business Processes
- Windows
Market Research Coordinator
- Real Estate
- Data Integrity
- Delphi
- Market Research
- Market Trends
- Cold Calls
Information Technology Quality Assurance Manager
- Computer System
- QA
- Data Integrity
- CAPA
- FDA
- ACAS
Relocation Counselor
- Customer Satisfaction
- Relocation Process
- Client Contacts
- Data Integrity
- Quality Service
- Sale Process
Senior Human Resources Assistant
Job description:
Senior Human Resources Assistants are junior-level employees in the human resources department of an organization. They are usually in-charge of administrative or clerical activities of the department. They update records, manage documents, and ensure that all department-related information is kept confidential. They also handle tasks related to different facets of human resources such as recruitment, total rewards, or employee relations. They may be asked to lead specific activities or projects related to human resources facets as a way to train them for bigger roles.
- Customer Service
- HRIS
- Process Improvement
- Office Equipment
- Data Integrity
- FC
Asset Management Specialist
Job description:
Asset Management Specialists direct the growth management of overall system information technology value including maintenance and investment, inventory monitoring, and allocation of hardware and software. They are in charge of the everyday and long-term tactical management of technology-related hardware and software inside the organization. Their duties include planning, observing, and recording software permit and hardware assets to make certain vendors' contacts are complied with. They also design and execute procedures for monitoring systems assets to direct quality control in their entire lifecycles.
- Asset Management
- SharePoint
- ITIL
- Data Integrity
- Portfolio
- Management System
Data Management Coordinator
Job description:
A data management coordinator oversees and coordinates the data management operations of an organization. They conduct research and analyses to identify the ideal practices, develop strategies to optimize processes, liaise with internal and external parties, establish guidelines and protocols, and conduct regular assessments to ensure procedures adhere to company standards. They also participate in developing data protection and security plans, solving issues, and arranging meetings. Moreover, a data management coordinator manages staff and implements the organization's policies and regulations for an efficient workflow.
- Data Entry
- Data Collection
- Data Analysis
- Data Integrity
- Access Database
- Data Management Support
Associate Technical Analyst
Job description:
An Associate Technical Analyst works at a company's information technology department where they are in charge of performing support tasks to accomplish project goals. They usually work under the directives of a senior technical analyst. Their responsibilities often include conducting research and analyses, reviewing technical reports, gathering and analyzing data from different departments, and developing strategies to optimize operations. In some companies, they are responsible for communicating with clients to answer inquiries, troubleshoot issues, and promptly and professionally resolve problems, ensuring client satisfaction.
- Java
- Business Processes
- Data Analysis
- CRM
- Data Integrity
- Customer Support
Master Data Analyst
Job description:
A master data analyst is responsible for maintaining the safety and security of the organization's network database, ensuring the correct data integration and processing, and monitoring the feasibility of data requirements. Master data analysts work closely with the technology department to perform data quality control procedures, resolve data management issues, and upgrade system features to prevent unauthorized access and malicious activities. A master data analyst must have excellent knowledge of the technology industry, as well as a strong command on the programming languages and system codes to manage data management complexities and improve business operational functions.
- Data Quality
- Customer Service
- Data Governance
- Data Analysis
- Data Integrity
- ERP
Quality Tester
Job description:
Quality technician engineers work to develop high-quality practices that will help produce quality products and services. The quality technician engineer will work with managers in developing solid quality-checking practices ensuring consistency and quality. The quality technician engineer is also responsible for working with other team members in the quality assurance team to establish consumer trust. The QT engineer also acts as part of the quality control team and provides suggestions to improve the product or service.
- Test Results
- Test Scripts
- QA
- Regression
- Data Integrity
- Java
Data Processing Auditor
- Data Analysis
- Audit Results
- SQL
- Data Entry Errors
- Data Integrity
- Epic
Human Resources Analyst
Job description:
A human resources (HR) analyst is an individual who collaborates with a company's HR staff members to identify and assist in solving HR-related issues. HR analysts must provide advice and support to numerous departments in the organization regarding HR policies and best practices. They assist the HR team in the moderation of operating policies, guidelines, and systems to encourage best practices in the company. HR analysts also review data of employees and job candidates while inputting them into the HR database.
- HRIS
- Customer Service
- PowerPoint
- Data Analysis
- Data Integrity
- Process Improvement
Hris Analyst
Job description:
HRIS analysts are primarily responsible for the management and supervision of human resource information systems, including databases and software, to ensure everything is running smoothly. Moreover, HRIS analysts are also responsible for coordinating with human resources staff to determine their needs, address issues and concerns to provide technical support, analyze various data to devise strategies for improvement, and conduct regular inspections for maintenance. There are also instances where they must provide training or instructional materials for staff, produce progress reports, and evaluate human resource documents.
- Process Improvement
- Project Management
- Troubleshoot
- Data Integrity
- Business Processes
- Data Analysis
Senior Hris Analyst
Job description:
A senior HRIS analyst plays a vital role in a company's human resources information system (HRIS), a system that is widely used by companies to gather and store HR data, including payroll, employee records, and leaves. Your duties will include translating user needs and business objectives into written technical requirements, implementing these requirements into systems or solutions, and managing software implementation projects. As a senior HRIS analyst, you will also be responsible for conducting training, including developing guidelines, documentation, and user procedures.
- Project Management
- Business Processes
- Troubleshoot
- Data Analysis
- Data Integrity
- System Upgrades
Database Manager
Job description:
A database developer/database administrator specializes in designing and developing database programs and systems, maintaining and updating them regularly. They are in charge of understanding project needs and guidelines, establishing and implementing test systems to identify potential risks and issues, fixing and upgrading components, and storing data according to protocols. They may also produce and present reports to managers and participate in creating security and recovery plans to protect company data. Moreover, as a database developer/database administrator, it is vital to be proactive at dealing with issues while adhering to company standards.
- Data Management
- Data Entry
- SQL Server
- Project Management
- Data Integrity
- Data Analysis
How much can you earn with Data Integrity skills?
You can earn up to $64,193 a year with data integrity skills if you become a building analyst/supervisor, the highest-paying job that requires data integrity skills. Market research coordinators can earn the second-highest salary among jobs that use Python, $48,401 a year.
Job Title  | Average Salary | Hourly Rate |
|---|---|---|
| Building Analyst/Supervisor | $64,193 | $31 |
| Market Research Coordinator | $48,401 | $23 |
| Information Technology Quality Assurance Manager | $111,859 | $54 |
| Relocation Counselor | $49,365 | $24 |
| Senior Human Resources Assistant | $39,874 | $19 |
Companies using Data Integrity in 2025
The top companies that look for employees with data integrity skills are Five Below, CBRE Group, and Deloitte. In the millions of job postings we reviewed, these companies mention data integrity skills most frequently.
| Rank | Company | % Of All Skills | Job Openings |
|---|---|---|---|
| 1 | Five Below | 15% | 3,171 |
| 2 | CBRE Group | 14% | 6,365 |
| 3 | Deloitte | 11% | 25,015 |
| 4 | Intel | 6% | 670 |
| 5 | Takeda Pharmaceuticals U.S.A., Inc. | 6% | 1,282 |
20 courses for Data Integrity skills
1. Data Integration Guide
According to the World Economic Forum, at the beginning of 2020, the number of bytes in the digital universe was 40 times bigger than the number of stars in the observable universe. With data volume and usages growing, the need for Data Integration is becoming more and more central topic. Data Integration is mainly about exchanging data across multiple systems and tools. Aligned with their business strategy, organizations need data to circulate timely and accurately through their information system and the external world (internet applications, trading partners..). This allows organizations to answer market needs, be competitive, reduce time to market, and become data driven by easing decision making processes. In this course, we are presenting a complete guide on how to identify your need of data integration, how you can architecture your solutions, execute successfully your projects and manage data integration overtime, all of this in order to bring tangible business value and to support your business. In more details we will address the following topics around Data Integration: What is Data Integration ?Data Integration Benefits & Business ValueMain Concepts & FeaturesData Integration Paradigms & Patterns, including, ESB, Enterprise Service BusETL, Extract Transform LoadEDI, Electronic Data InterchangeAPI, Application Programming InterfaceConnectors for Data IntegrationWith DatabasesWith FilesWith WebServices: SOAP, RESTWith Enterprise Applications like SAPSecurity and technical architectureHigh availabilityData Encryption Cloud DeploymentsData Integration ProjectsData Integration Run OperationsQuick Overview of market solutions Proprietary vs OpenSourceSolution componentsLicencing and pricing modelsData Integration as Enabler for Digital TransformationThis course is intended to be a complete practical guide to help you understand all the aspects around Data Integration. It can help you in your career and your current activities, by bringing a complete 360° overview on Data Integration topic. This course is intended to help: Chief Information OfficersChief Data OfficersChief Digital OfficersChief Analytics OfficerHead of DataHead of AnalyticsIT ManagersBusiness managers who work with DataData ManagersEnterprise ArchitectsData Project ManagersDigital Projects ManagersData AnalystsData SpecialistsData EngineersData ScientistsData ArchitectsData ModelersIT AuditorsInformation System Performance AnalystsAnd also, all students and professionals who want to benefit from the big market demand in Data and this important skill! No prior experience in Programming or Data Bases is needed to follow this course. This course is also vendor agnostic (and independent), whether you will work with solutions like Informatica, Talend, Boomi, OpenESB, Tibco ActiveMatrix, Mulesoft, IBM Websphere, Microsoft BizTalk or other, this course is generic enough to help you in your journey regardless of the solution you use or intend to use! It will even help you make the right choice based on your requirements and constraints. Throughout the course, you can easily contact the instructor for any questions you have to sharpen your knowledge and have tailored made learning experience!...
2. Data Integration Fundamentals
It's clear that we are living in a data-driven world. Our steady transition toward highly digitized lives is making data a key asset in the modern economy. When we go online to make purchases, consume content, or share on social media, we are generating valuable data. Many of the largest tech companies are now operating on business models that depend on leveraging data. However none of that is possible without data integration. Data integration is the glue that makes it possible to convert raw data into a valuable asset. In this course, I will focus on three types of data integration: Business-to-Business Integration, Application Integration, and Database Integration. You will learn how businesses exchange data using standard EDI, XML, and APIs. I'll explain common communication methods like FTP and AS2. You'll also learn about application integration approaches including SOAP, REST APIs, and Webhooks. And I'll teach you about database integration technologies involving data warehouses, data lakes, streaming data, extract-transform-load processing, and data propagation techniques like replication. By the end of the course, you'll have a solid understanding of how data integration can be used to improve business results. You will be knowledgeable about how these techniques are applied, and will be able to intelligently speak with software vendors, customers, suppliers or your internal IT department about data integration projects...
3. Data Warehouse Concepts, Design, and Data Integration
This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows. In the data integration assignment, you can use either Oracle, MySQL, or PostgreSQL databases. You will also gain conceptual background about maturity models, architectures, multidimensional models, and management practices, providing an organizational perspective about data warehouse development. If you are currently a business or information technology professional and want to become a data warehouse designer or administrator, this course will give you the knowledge and skills to do that. By the end of the course, you will have the design experience, software background, and organizational context that prepares you to succeed with data warehouse development projects. In this course, you will create data warehouse designs and data integration workflows that satisfy the business intelligence needs of organizations. When you’re done with this course, you’ll be able to: * Evaluate an organization for data warehouse maturity and business architecture alignment; * Create a data warehouse design and reflect on alternative design methodologies and design goals; * Create data integration workflows using prominent open source software; * Reflect on the role of change data, refresh constraints, refresh frequency trade-offs, and data quality goals in data integration process design; and * Perform operations on pivot tables to satisfy typical business analysis requests using prominent open source software...
4. Big Data Integration and Processing
At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+...
5. Data Engineering and Data Integration Tools
A warm welcome to the Data Engineering and Data Integration Tools course by Uplatz. Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) concepts are core of any datawarehousing initiative. Data ingestion, integration, and processing form a critical task for consolidating the data silos across the departments in an organisation and ultimately to build a robust and flexible datawarehouse for enterprise reporting & analytics. One of such tools is Talend. Talend is an ETL tool/software for Data Integration. It delivers software resolutions for data groundwork, data quality, data integration, application integration, data management and big data. There exist separate products of these different solutions in Talend. Big Data products and data integration are broadly used in Talend. Data integration and data management solutions are offered by Talend, as an open source platform. Big data integration is a specialty of Talend. Other features provided by Talend are related to cloud, big data, enterprise application integration, master data management and data quality. It also provides a unified repository to store and reuse the Metadata. Talend is one of the finest tools for cloud computing and big data integration. The most common invention of Talend Studio is data integration and big data. Talend can smoothly arrange big data integration with graphical tools and wizards. This permits the group to generate a condition to easily work with Apache Hadoop, Spark, and NoSQL databases for cloud. Talend data integration software tool has an open, accessible architecture. It permits quicker response to business needs. The tool contracts to modify and arrange data integration jobs faster than hand coding. Talend integration cloud tool offers connectivity, built-in data quality, and native code generation. Talend is protected cloud integration platform which allows IT and business users to connect shared both could and on-premise. It solves the power of cloud design job as it can manage, monitor, and control in the cloud. Uplatz provides this end-to-end course on this leading Data Integration and ETL tool called Talend. With many organizations using Talend as their leading data warehousing and data integration software, there are huge career prospects by learning and mastering Talend. If you wish to become an ETL Architect or a Data Integration Engineer, then Talend course can be a complete game changer. Talend - Course Curriculum1. Role of Open Source ETL Technologies in Big DataOverview on: TOS (Talend Open Studio) for Data IntegrationETL conceptsData warehousing concepts2. TalendWhy Talend?FeaturesAdvantagesTalend Installation/System RequirementsGUI layout (designer)Understanding it's Basic FeaturesComparison with other market leader tools in ETL domainImportant areas in Talend Architecture: ProjectWorkspaceJobMetadataPropagationLinking components3. Talend: Read & Write various Types of Source/Target SystemData Source ConnectionFile as SourceCreate meta dataDatabase as sourceCreate metadataUsing MySQL database (create tables, Insert, Update Data from Talend)Read and write into excel files, into multiple tabsView dataHow to capture log and navigate around basic errorsRole of tLogrow and how it makes developers life easy4. Talend: How to Transform Your Business: BasicUsing Advanced components like: tMap, tJoin, tFilter, tSortRow, tAggregateRow, tReplicate, tSplit, Lookup, tRowGenerator5. Talend: How to Transform Your Business: Advanced 1Trigger (types) and Row TypesContext Variables (parameterization)Functions (basic to advanced functions to transform business rules such as string, date, mathematical etc.)Accessing job level / component level information within the job6. Talend: How to Transform Your Business: Advanced 2Type Casting (convert data types among source-target platforms)Looping components (like tLoop, tFor)tFileListtRunJobHow to schedule and run talend DI jobs externally (not in GUI)7. Working with Hierarchical File StructuresRead and Write an XML file, configure the schema and XPath expression to parse an XML fileRead and Write a JSON file, configure the schema and JSONPath expression to parse a JSON fileRead and write delimited, fixed width files.8. Context Variables and Global VariablesCreate context/global variablesUse context/global variables in the configuration of Talend componentsLoad context variables from a flow9. Best practicesWorking with databases and implementing data warehousing conceptsWorking with files (excel, delimited, JSON, XML etc.)10. Orchestration and Controlling Execution FlowFiles - Use components to list, archive, and delete files from a directoryDatabase - Controlling Commit and RollbackCOMMIT at end of job/ every x number of rowsRollback on error11. Shared DB connection across jobs and subjobsUse triggers to connect components and subJobsOrchestrate several jobs in master jobs. Handling ErrorsKill a Job on a component errorImplement a specific Job execution path on a component errorConfigure the log level in the console...
6. Integral Calculus through Data and Modeling
This specialization builds on topics introduced in single and multivariable differentiable calculus to develop the theory and applications of integral calculus. , The focus on the specialization is to using calculus to address questions in the natural and social sciences. Students will learn to use the techniques presented in this class to process, analyze, and interpret data, and to communicate meaningful results, using scientific computing and mathematical modeling. Topics include functions as models of data, differential and integral calculus of functions of one and several variables, differential equations, and optimization and estimation techniques...
7. Informatica Cloud - Data Integration
Informatica Cloud is a data integration solution and platform that works like Software as a Service (SaaS). It integrates cloud-based data with the data residing in on-premise databases and systems or between cloud applications. Informatica Cloud Data Integration is the cloud based Power Center which delivers accessible, trusted, and secure data to facilitate more valuable business decisions. Informatica Cloud Data Integration can help you and your organization with global, distributed data warehouse and analytics projects. If you are using a cloud data warehouse like AWS Redshift, Azure SQL Data Warehouse, or Snowflake, you can use Informatica Cloud Data Integration solutions to help improve the overall performance, productivity, and extensive connectivity to cloud and on-premises sources. Informatica Cloud can connect to on-premises and cloud-based applications (like Salesforce, Marketo, NetSuite, Workday) databases, flat files, file feeds, and social networking sites...
8. Talend Data Integration Complete Beginner's Course
Have you ever wanted to get started with Data Integration using Talend Studio ? Or landing your first Talend developer job, but didn't know where to start ?This course is for complete beginners, to get you up and running with Taled Studio. So wether you're already working in data integration, or you would like to learn Talend from the beginning, this course is made for you. It's the perfect course to make you go from zero to hero with Talend Data Integration. You will fully learn all the data integration concepts using Talend, as well as data transformations and mappings. You will also learn to read and write data from and to many kind of data systems such as databases, CSV JSON EXCEL and XML files etc.. You'll get a thorough undertanding of data processing, how to filter, sort, and aggregate data. I strongly believe in learning by doing, so you'll acquire real world skills by implementing a big Talend project throughout this course. As well as exercises with their corrections in the last section of the course. Icing on the cake, I've included a quiz at the end of each section to assess your knowledge and understanding. By the end of the course, you'll have gained the necessary level of knowledge to land your first job as a Talend developer with flying colors. With the increasing demand in Talend jobs, this will be a major step up in your career, and if you still have douts, you should know that I offer a 30 day money back guarantee, no questions asked. So join me on the course...
9. Oracle Data Integrator (ODI) 12c Admin Course
Join the most comprehensive and popular ODI Admin Course on Udemy, because now is the time to get started! From Architecture, Installation, Agents, Topology, Security to Project Execution this course covers it all you need to know to become a successful ODI Admin! You'll learn all about Architecture, ODI Components, Repositories, Domains, Fusion Middleware, WebLogic Server, Topology, - and in the end: You'll have a project to ensure all the components are installed and configured properly! But that's not all! Along with covering all the steps for ODI Admin functions, this course also has quizzes and projects, which allow you to practice the things learned throughout the course! And if you do get stuck, you benefit from extremely fast and friendly support - both via direct messaging or discussion. You have my word! With more than two decades of IT experience I have designed this course for students and professionals who wish to learn (or need support) how to install fully functional Enterprise level Oracle Data Integrator with all its components and support its execution. This course will be kept up-to-date to ensure you don't miss out on any changes once ODI 12c is required in your project! Why ODI?Oracle data integrator is Oracle's flagship, High-performance bulk data movement and transformation tool. Oracle is investing a lot in this tool. ODI is a built-in batch integration tool for Oracle BI Apps 11g onwards. The current Oracle BI Apps customers will have to replace their existing ETL tools with ODI. The ELT approach of ODI with a knowledge module based modular approach makes it the most complete and scalable batch integration tool. If you are looking for a thriving career in data integration and analytics, this is the right time to learn ODI. Get a very deep understanding of ODI Admin activitiesEvery new ODI version is coming with added features. The success of ODI implementation and its performance depends a lot on how ODI Admin has installed and configured it. When installing ODI 12c at the enterprise level, Oracle recommends Enterprise installation with Web logic server, Managed ODI Server, and either Standalone collocated agent or JEE agent as they provide high availability and other benefits of Fusion Middleware. This course covers all that you need to know to successfully install ODI for your project. You will go through instructions in the video as well as a pdf document with each step shown in the video. Pay once, benefit a lifetime! This is an evolving course! Enterprise installation of ODI 12c and later future versions will be covered in this course. You won't lose out on anything! Don't lose any time, gain an edge, and start now! This course will also be updated to Oracle Data Integrator (ODI) Enterprise Installation on Linux platform!...
10. Oracle Data Integrator (ODI) 12c Developer Course
Join the most comprehensive and popular Oracle Data Integrator (ODI) 12c Developer Course on Udemy, because now is the time to get started! From basic concepts about Data Integration, Intelligence, Architecture, ODI Components, Project Development to Migration and Support, this course covers it all you need to know to become a successful ODI Developer! But that's not all! Along with covering all the steps of ODI developer functions, this course also has quizzes and projects, which allow you to practice the things learned throughout the course! You'll not only learn about the concepts but also practice each of those concepts through Projects. And if you do get stuck, you benefit from extremely fast and friendly support - both via direct messaging or discussion. You have my word! With more than two decades of IT experience, I have designed this course for students and professionals who wish to master how to develop and support industry-standard batch integration in Oracle Data Integrator. This course will be kept up-to-date to ensure you don't miss out on any changes once ODI 12c is required in your project! Why ODI?Oracle Data Integrator (ODI) is the integration tool every enterprise need. The key technical capabilities likeExtract-Load-Transform (ELT) approach, Near real-time data integration capability through Change Data Capture(CDC), Declarative design with fully modifiable Knowledge Modules, SOA capable through web-servicesIntegration of structured as well as unstructured dataexists only in ODI. It's Oracle's flagship, High-performance bulk data movement and transformation tool. Oracle is investing a lot in this tool. ODI is a built-in batch integration tool for Oracle BI Apps 11g onwards. The current Oracle BI Apps customers will have to replace their existing ETL tools with ODI. The Extract-load-transform(ELT) approach of ODI with a knowledge module based modular approach makes it the most complete and scalable batch integration tool. If you are looking for a thriving career in data integration and analytics, this is the right time to learn ODI. Get a very deep understanding of ODI Developer activitiesEvery new ODI version is coming with added features. The success of ODI implementation and its performance depends on the ODI developer. Pay once, benefit a lifetime! This is an evolving course! ODI12c development and later future versions will be covered in this course. You won't lose out on anything! Don't lose any time, gain an edge, and start now!...