Data integration using SQL Server Integration Services (SSIS)

Data integration using SQL Server Integration Services (SSIS)

SQL Server Integration Services is a platform for building enterprise-level data integration and data transformations solutions. You will learn to use Integration Services to solve complex business problems by copying or downloading files, loading data warehouses, cleansing and mining data, and managing SQL Server objects and data.

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    Next Cohort starts

    6 Apr, 2022

    Program Duration

    12 Months

    Learning Format

    Data Analytics using Tableau

    Course Overview

    Sale!

    Data integration using SQL Server Integration Services (SSIS)

    999.007,999.00

    This course will help you work with Integration Services packages in the context of a data warehouse development project to perform extract, transform, and load operations.

    This 6 -week duration course will teach you how to apply Integration Services features to build packages that support the extract, transform, and load operations of a data warehouse.

    It covers design patterns for staging data and for loading data into fact and dimension tables. In addition, this course describes how to enhance ETL packages with data cleansing techniques and offers insight into the buffer architecture of the data flow engine to help package developers get the best performance from packages.

    Offline Course
    (Self-Paced)

    • 35 hrs of self-learning
    • 4-months of LMS Access
    • 35 hrs of self-driven exercises/quiz

    Online Course
    (Trainer Driven Virtual Sessions)

    • Live sessions of 35 hrs
    • 35 hrs of guided exercises/quiz
    • Guided Project and Viva presentation
    • 4-months of LMS Access
    Diwali Offer: Get 70% Off on Self Paced Course of Data integration using SQL Server Integration Services (SSIS) till 12th Nov. with Coupon Code: #lagozondiwali

    Description

    Learn to use Integration Services to solve complex business problems, loading data warehouses, cleansing and mining data, and managing SQL Server objects.

    Additional information

    Classes

    Self-Paced Course, Trainer Driven Course

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    Key Highlights

    Course Curriculum

    • Introduction
    • Data Types
    • Collection Data Types
    • Control Structures and Functions
    • Modules
    • Object-oriented Programming
    • Files Handling
    • Processes and Threading
    • Networking

    Skills Covered

    Qlik Sense Desktop

    Client Management Skills

    Data Forecasting

    Data Visualization

    Data Modeling

    Business Verticals and Industry Use cases

    Data Analysis

    Integration with ML

    Data Management

    Who all can apply for this course?

    • Anyone who is passionate to learn and enhance skills in data analytics
    • IT/ Non-IT Professionals
    • College Graduates
    • BI Professionals
    • Project Managers
    • Project Managers
    • MBA and BBA Students from all specializations
    • BCA/MCA

    Technology Partners and Alliances