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Database Training classes Fees

Estimated Fees in India

₹ 400 to ₹ 600 per hour

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Top Ranked Tutors & Institutes for Database Training classes with their fees

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K Ramprasad

Domlur Domlur Village,Bangalore

₹ 1,200 per month

Worked as Assistant professor 2 years in AP IIIT , ECE Dept.

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Sujoy Adhikary

Mira Road East,Mumbai

₹ 1,000 - 5,000 per month

I train in Advanced Database Concepts & SQL Basics, Ms Access, SQL Server 2012 Programming(Microsoft Certification level) I had been teaching since my college days. I was very good in programming since my school days. As office I used to train the new recruits. My ways are very methodical and I have deep knowledge in Database concepts. I have read books of Navathe and Korth on relational database and normalization concepts. I have also cleared GATE 2007 in CS. My methods includes video presentation(created by me), notes, PPT, assignments, assessments and live projects from industry. I teach through classroom and online.

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Mahesh Waran

Teachers Colony, HSR Layout,Bangalore

₹ 5,000 - 7,000 per month

I have 5 years of experience in teaching SQL, PL SQL and database concepts for Engineering graduates and Job seekers. Coming with rich development experience for 7 years, i can explain you the concepts with practical approach and with less theory. I give more emphasis on interview preparation and coding along with concepts.

Sunil Gowda photo

Sunil Gowda

Nayanda Halli,Bangalore

₹ 8,000 - 10,000 per month

I am currently working as assistant professor in an reputed engineering college with computer science department. I would like to teach all programming language subjects, database management systems, data structures, Computer Networks, SAN etc. I am a post graduate in computer science engineering. I have qualified NET conducted by UGC in Computer Science. A certified Android Application Development Trainer. 3+years Experience in training Java(Core), CCNA and Android App Development.

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Krishan Kumar Singh

Hinjewadi,Pune

₹ 5,000 - 6,000 per month

A seasoned professional with nearly 12.0 years in Advance Oracle PL/SQL. My current job profile involves understanding business needs, translating the functional requirements into technical design specification, coding the solution, unit test and documenting the results. TLM Experience spanning across development, configurations, Implementation and Support. In-House ERP Experience in Development and Implementation for Manufacturing Company. Oracle Database Archiving and Purging Experience according to client Requirement. Recognized throughout the career for being a visionary operations leader, leveraging in-depth knowledge of the domain and significantly contributed to the success across business in the organizations A project planner with experience of working on numerous projects and ensuring delivery of projects within the time. Experience in the software development life cycle involving project planning, estimation, tracking and delivery Extensive background in complex and challenging work environments. Supervised a team of 6 people (Development, Implementation & Support Team). Wide knowledge of Oracle Database (Create Table, View, Stored Procedure, Function, Trigger, Sequences, Index, Performance Tuning, Collection, Table Partitioning, Job Scheduler, Writing Complex Query) End to End Implementation and Support activities on Reconciliation Tool like as TLM 2.1 tools.

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Pradeep Kumar K

Hinjewadi,Pune

₹ 6,000 - 6,500 per month

Worked as an oracle DBA Working as an coorparate trainer with Wipro , cognizent , and university in UK. working in Tech Mahindra as SR. Tech Lead in ORACLE SQL/PLSQL Skill of C , C++ ,Java , RDBMS ,SQL , PL/SQL With metrial written by own helps the students to clearly understand the concept in depth understand students capability and make suitable training in order to give my best . Motto : satisfy the student in all concept and get confidence in subject which I deal with .

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Microsoft Power BI

iTech Analytic Solutions

"iTech Analytic Solutions (iTAS)" is a leading MIS Reporting, Business Analytics, Data Analytics & Data...

Microsoft Power BI is a free, self-service business intelligence cloud service that provides non-technical business users with tools for aggregating, analyzing, visualizing and sharing data. Power BI's user interface is fairly intuitive for those users familiar with Excel and its deep integration with... read more

Microsoft Power BI is a free, self-service business intelligence cloud service that provides non-technical business users with tools for aggregating, analyzing, visualizing and sharing data. Power BI's user interface is fairly intuitive for those users familiar with Excel and its deep integration with other Microsoft products makes it a very versatile tool that requires very little upfront training.

Power BI is intended for small to mid-size business owners; a professional version called Power BI Plus is available for a monthly subscription fee of less than $10.00 per license. The service is available as a Web-based Software as a Service (SaaS) called Power BI, a downloadable application for Windows 10 called Power BI Desktop and native mobile apps for Windows, Android and iOS devices.

Key features of Power BI include:

Hybrid deployment support - This feature provides built-in connectors that allow Power BI tools to connect with a number of different data sources from Microsoft, Salesforce and other vendors.

Quick Insights - This feature allows users to create subsets of data and automatically apply analytics to that information.

Cortana integration - This feature, which is especially popular on mobile devices, allows users to verbally query data using natural language and access results, using Cortana, Microsoft's digital assistant.

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Lesson Posted on 16 Mar Learn IT Courses/Database Training

Why Snowflake is best Data Warehouse solution rather than Azure Synapse and AWD Redshift

Devanand Shukla

Currently working in HCL technologies as a Technical Architect/Data Engineer. SQL developer - 11 Years SSIS...

Snowflake is the Cloud Data warehousing solution which provides the best storage and compute functionality seperately. It means you can increase Compute power (to transform th data) and storage (to store the data) independently. Snowflake provides flexibility to perform data ingestion/data transformation/analytical... read more

Snowflake is the Cloud Data warehousing solution which provides the best storage and compute functionality seperately. It means you can increase Compute power (to transform th data) and storage (to store the data) independently. Snowflake provides flexibility to perform data ingestion/data transformation/analytical solution in single platform and you will be charged whatever resources you will be used. It provides caching facility to store data in cache upto 24 hours to avoid additional cost. Time travel/ clone/data share are the additional functionality added into Snowflake which provides you the best experience in your real time project.

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Answered on 05 Jan Learn IT Courses/Database Training

Ajay Dubey

Title: Mastering Database Features for AI Automation - A Guide from Your UrbanPro Tutor Introduction: As an AI automation coach deeply entrenched in the realm of databases, let's explore essential features that make databases indispensable in today's technological landscape. 1. Relational Database... read more

Title: Mastering Database Features for AI Automation - A Guide from Your UrbanPro Tutor

Introduction: As an AI automation coach deeply entrenched in the realm of databases, let's explore essential features that make databases indispensable in today's technological landscape.

1. Relational Database Features:

  • Tables and Rows:

    • Definition: Data is organized into tables consisting of rows and columns.
    • Significance: Facilitates structured data storage and retrieval.
  • Primary and Foreign Keys:

    • Definition: Primary keys uniquely identify records in a table; foreign keys establish relationships between tables.
    • Significance: Ensures data integrity and supports relational connections.

2. Data Integrity and Constraints:

  • Unique Constraints:

    • Definition: Ensures that values in a column are unique across rows.
    • Significance: Prevents duplication of data for accuracy.
  • Check Constraints:

    • Definition: Defines conditions that data must meet for insertion or update.
    • Significance: Enforces business rules, enhancing data quality.

3. Query and Retrieval Features:

  • SQL (Structured Query Language):

    • Definition: A standardized language for managing and querying databases.
    • Significance: Enables seamless communication with databases for data retrieval and manipulation.
  • Indexing:

    • Definition: Accelerates data retrieval by creating indexes on specific columns.
    • Significance: Improves query performance.

4. Transaction Management:

  • ACID Properties (Atomicity, Consistency, Isolation, Durability):

    • Definition: Ensures reliability and integrity of database transactions.
    • Significance: Guarantees that database transactions are processed reliably.
  • Transaction Rollback and Commit:

    • Definition: Rollback reverts changes if an error occurs; commit finalizes changes.
    • Significance: Maintains database consistency and reliability.

5. Security Features:

  • User Authentication and Authorization:

    • Definition: Controls access to the database based on user credentials.
    • Significance: Safeguards sensitive data from unauthorized access.
  • Encryption:

    • Definition: Converts data into a secure format to prevent unauthorized access.
    • Significance: Protects data during storage and transmission.

6. Backup and Recovery:

  • Regular Backups:

    • Definition: Periodic copying of database contents for recovery purposes.
    • Significance: Mitigates data loss in the event of system failures.
  • Point-in-Time Recovery:

    • Definition: Restores the database to a specific state at a particular time.
    • Significance: Offers flexibility in recovering data to a precise moment.

7. Scalability and Performance:

  • Horizontal and Vertical Scaling:

    • Definition: Horizontal adds more machines to a network; vertical increases resources on a single machine.
    • Significance: Adapts to growing data demands for optimal performance.
  • Database Caching:

    • Definition: Stores frequently accessed data in memory for faster retrieval.
    • Significance: Enhances query performance and responsiveness.

Conclusion: Mastering these database features is crucial for anyone venturing into AI automation. UrbanPro.com connects you with skilled tutors ready to guide you through these features, ensuring you harness the full potential of databases in the ever-evolving world of AI automation. Elevate your skills and stay ahead in the dynamic landscape of technology.

 
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