Microsoft/Implementing a SQL 2016 Data Warehouse (SSIS)

Yes, fee excludes local taxes.

Yes, we do.

The Fee includes:

• Courseware
• Testing Via Qubits
• Remote Labs

Yes, Koenig Solutions is a Microsoft Learning Partner

Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.

In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.

Yes.

No, it is not included.

• Oracle Data Integrator 12c: Integration and Administration Ed 3

We offer below courses: Administering a SQL Database Infrastructure - Querying Data with Microsoft Transact-SQL - DP-080T00 - Performance Tuning and Optimizing SQL Databases - 10987-C Analyzing Data with SQL Server 2016 Reporting Services (SSRS) - Provisioning SQL Databases - Introduction To SQL Databases - 20761C:Querying Data with Transact-SQL 2016 - Developing SQL 2016 Data Models (SSAS) - Updating Your Skills to SQL Server 2016 -

Microsoft SSIS (SQL Server Integration Services) is a business intelligence tool that is designed to make data migration easier. The main objective of SSIS is to analyze and cleanse data and run extract, transform and load (ETL) processes for data warehousing.

SSIS package configuration is referred to the settings that help us modify a property without opening the package. This is possible due to the fact that the configuration is stored somewhere outside the code that makes up the SSIS package.

Some of the prominent differences between SSIS and SSRS are:

• SSIS refers to SQL Server Integration Services while SSRS stands for SQL Server Reporting Services.
• The main feature of SSIS is data holding which includes components such as Import and Export Wizard, SSIS API programming and SSIS Designer. On the other hand, SSRS is mainly used for reporting with components such as Report Designer, Report Builder, Report Server and Report Manager.

An SQL Server Data Warehouse is a kind of central repository used for storing heterogeneous data related to the purposes of analysis and reporting. It consolidates, standardizes and organizes the data for better decision making.

There are 7 important steps that one follow to build a robust data warehouse:

• Determining the objectives of the company
• Collecting and analyzing information
• Identifying major or core business processes
• Constructing a conceptual data model
• Locating data sources and planning data transformations
• Tracking the warehouse storage duration
• Implementing the plan

A database is an organized collection of data. On the other hand, a data warehouse is a kind of database (or group of databases) created to store, filter, retrieve and analyze huge volumes of data. The basic approach these days is to store data from all the databases into a data warehouse which enables one time analysis and visualization on the complete bulk of data.

A data warehouse is a repository of large volume of operational and customer-related data imported from other databases. This ensures analysis of data in a more holistic way. For example, from a business point of few, a data warehouse might include customer information, website details, mailing lists, comment cards and employee information including time cards, demographic data and salary information.

The major benefits of a data warehouse include:

• Enhanced system performance
• Timely data access
• Increased consistency and quality
• High Return on Investment (ROI)
• Access to historical data
• Cost-effective decision making

The features of a data warehouse include:

• Subject Oriented
• Integrated
• Time Variant
• Non-Volatile
• Data Granuality

Data warehousing is applicable to a whole lot of sectors including banking, finance, consumer goods, government and education, healthcare, hospitality, insurance, services, telephone and transportation, among many others.

The data warehouse tools help build enterprise data solutions to fetch information from the data easily and quickly in the cloud. Here is a list of the most popular data warehouse tools:

• Amazon Redshift
• Teradata
• Oracle 12c
• Informatica
• IBM Infosphere
• Ab Initio Software
• ParAccel
• Cloudera
• AnalytiX DS
• MarkLogic

This Implementing a SQL 2016 Data Warehouse online course is intended for;

• Database professionals looking to fulfill a business intelligence developer role focused on hands-on work. This includes professionals looking to create BI solutions that include data warehouse implementation, ETL, and data cleansing
• Software and ETL developers
• Students with a basic knowledge of SQL are looking to start a career in Business Intelligence
• Database professionals who are responsible for implementing a data warehouse, enforcing data integrity using Microsoft Data Services, developing SSIS packages for data ETL, and cleansing data using Data Quality Services

Big data is a critical component of businesses today. Comprehensive data warehousing and management practices can churn out meaningful business insights allowing companies to optimize their internal processes for a better outcome. In such a scenario, professionals with the right skill set will be all the more valuable, especially with data warehousing skills. Hence, Implementing SQL 2016 Data Warehouse training is all the more critical for professionals as it helps them to stay relevant and helps organizations utilize their data and deliver improved customer services across various verticals. The average salary of a certified Data Warehouse professional may range anywhere between USD 88,000 to USD 132,000 per annum.

The cost of Implementing a SQL 2016 Data Warehouse (SSIS) training course at Koenig Solutions is USD 1050. This depends on the choice of learning format and location of the student. The cost for the Microsoft 70-765 examination remains the same at USD 165 across the globe. This SSIS certification exam can be taken at the Pearson Vue test center either in person or through web-proctored mode.

The average duration of this Implementing a SQL 2016 Data Warehouse course is five days. At Koenig Solutions, we provide two different options to take up this SSIS training either as a 4 hours / day (10 Days) or 8 hours / day (5 days) training.

Participants who enroll for the Implementing a SQL 2016 Data Warehouse certification training will get:

• A copy of the Implementing a SQL 2016 Data Warehouse course material
• Microsoft 70-767 Sample Papers
• Hands-on exercises developed by an expert trainer
• Implementing a SQL 2016 Data Warehouse course completion certificate from a Microsoft Gold Partner

Yes, Koenig Solutions is a Microsoft Gold Partner to deliver Implementing a SQL 2016 Data Warehouse Certification Training across the globe.

You can take up this Implementing a SQL 2016 Data Warehouse certification training course in five different delivery modes that include:

• Instructor-led classroom training
• Instructor-led Live online training
• 1-on-1 training
• Fly-me-a-Trainer
• Corporate/on-site training

In both, you choose the schedule. In public, other participants can join, Private other participants want to join.

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