Training With Job Guarantee Europe Amsterdam

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Mr Data Amsterdam has designed a unique programme, offering you a collection of globally respected IT certifications and work experience, as well as career support and recruitment support.

 

Training With Job Guarantee Europe

Business Processing & ERP Training (Module 1)
ETL Tools & Data Warehousing (Module 2)
SQL for Business Intelligence Consultants (Module 3)
Microsoft Power BI Business Intelligence course (Module 4)
SAP BI for Business Intelligence Consultants (Module 5)
Scrum / IT Project Management & Design BI System (Module 6)
Job training ( Linkedin & CV ) for BI Consultants (Module 7)
Business Intelligence Project / Internship (Module 8)

 

Training With Job Guarantee Europe: Module 1

Business Process Management & ERP Training

Learning Goals:

  • You will learn the most important functionalities of a ERP system to understand the relation between different business processes.
  • ERP aims to maximize the productivity of organizations and to control costs, By financing, logistics, purchasing, sales and HR processes.

Why This Course?

You will gain a deep appreciation for the role of SAP ERP systems in efficiently managing processes from multiple functional perspectives.

Learning Details

– Foundational ERP concepts

– Digital learning of core principles and techniques related to integrated business process execution

– Real-World examples of SAP ERP “in action”

– Self-Guided tutorials for critical SAP transactions in each process

– key terms and concepts in SAP ERP

 

Linkedin Job Oppertunies

707 Erp Consultant Jobs

What is ERP system?

Enterprise resource planning (ERP) is business process management software that allows an organization to use a system of integrated applications to manage business and automate many back office operations related to technology, services and human resources. An ERP system covers all the common functional areas called and grouped together as ERP modules. For example:

  • Financial Management
  • Logistics Management
  • HR Management
  • Manufacturing
  • Order Processing
  • Project Management

All these ERP modules and others have a high impact on the efficiency of a business. Because of that, there are many benefits that come with ERP system. The objective of the ERP solution is to drive the flow of information between all internal business functions while managing connections to outside stakeholders. An ERP system benefits an organization by providing:

  • Tighter controls for financial compliance declaration
  • A single data source for product and services information
  • An increased access to valuable corporate data
  • An effective management of projects in a historical manner
  • Sales and operations planning with access to critical information
  • Automation of business processes such as invoicing, sales and purchase of orders within a single system

Training With Job Guarantee Europe: Module 2

ETL Tools & Data-warehousing

Learning Goals:

  • Understand the concepts of Business Intelligence Data warehousing
  • Get to know what is ETL Process, QA Lifecycle and RDBMS Concepts

Why This Course?

DW/BI/ETL Testing Training Course is designed for both entry-level and advanced Programmers. The course includes topics related to the foundation of  Data Warehouse with the concepts, Dimensional Modeling and important aspects of Dimension.

Learning Details

  • Gain an in-depth understanding of Data Warehouse WorkFlow and comparison between Database Testing and Data Warehouse Testing
  • Understand different ETL Testing scenarios like Constraint Testing, Source to Target Testing, Business Rules Testing, Negative Scenarios Testing, Dependency Testing, Error Handling Testing
  • Perform data Checks using SQL and understand the scope of BI Testing

Linkedin Job Oppertunies

13,000+ Etl Jobs | LinkedIn

What is ETL ?

  • What is ETL?
    • Answer: as previously mentioned, ETL stands for Extract-Transform-Load. Overall this is the process of finding and picking up the data from the source (extracting), modifying it to fit our target data warehouse (transforming) and inserting it into the warehouse (loading). The ETL process allows important data to be picked in a way that suits the particular goals and models and insert it into a warehouse for efficient access.
  • What should an ETL tester do
    • Answer: An ETL tester needs to have deep knowledge in ETL tools and ETL work processes. He/she also needs to be able to write complex SQL queries for different testing scenarios. Also a good definition of quality is required. Finally, the ability to conduct all types of ETL tests – primary key, default, functional tests, etc.

The above two are the most common ETL testing interview questions – mostly because they find people who are not near qualified enough for the job. You can expect them in literally every interview. Some other basic ETL testing interview questions are:

  • Why do we need ETL testing?
    • Answer:
      • To prevent malfunction of new data warehouse
      • To track the efficiency of the process and check whether the performance has dropped
      • To ensure the data is in the proper format and the conductor of the ETL has a good understanding of the goals behind it
  • What are some bugs that ETL testers often find?
    • Answer:
      • Calculation bugs
      • Source bugs
      • Load condition bugs
      • Performance inefficiency
      • User interface bugs

From that point on, ETL testing interview questions should become more specific. Obviously you want to be prepared for that, so here are some of the most common questions:

  • What is the difference between data mining and data warehousing?
    • Answer: Warehousing is the process of gathering data from multiple sources into one particular warehouse – typically using ETL. Data mining then is when this data is extracted and used for business decisions and analysis.
  • What does a three-tier warehouse comprise of?
    • Most data warehouses use a three-layered architecture. First is the layer where the data from external sources is first placed. The middle layer (also known as an integration layer) is where the data is transformed to first need some basic company needs. The third layer is the uppermost one, also known as the “dimension layer” and this is where the transformed information is actually stored for common use.
  • What is the difference between an active transformation and a passive transformation?
    • With the passive transformation, your output goes through the same number of data rows as those present in the input. With active transformation this number can be dynamically changed.

Training With Job Guarantee Europe: Module 3

SQL For Business Intelligence Consultants

Learning Goals:

  • You will be able to create your own unique tables as well as perform selects, inserts, updates, deletes, and drops on your tables.
  • This SQL tutorial currently supports a subset of ANSI SQL. Understand the concepts 

Why This Course?

The basics of each SQL command will be covered in this introductory tutorial. Unless otherwise stated, the interpreter will support everything covered in this course. If you’re already familar with the basics of SQL, you can still use this as a refresher, and practice some SQL statements.

Learning Details

  •  What is SQL?
  •  Table basics
  • Selecting data
  • Creating tables
  • Inserting into a table
  • Updating records
  • Deleting records
  • Drop a table
  • Advanced Queries

Linkedin Job Oppertunies

443 Entry Level SQL Developer Jobs,

What is SQL ?

Structured Query Language (SQL) supports the creation and maintenance of the relational
database and the management of data within that database. However, before I go into a
discussion about relational databases, I want to explain what I mean by the term database.
The term itself has been used to refer to anything from a collection of names and
addresses to a complex system of data retrieval and storage that relies on user interfaces
and a network of client computers and servers. There are as many definitions for the word
database as there are books about them. Moreover, different DBMS vendors have
developed different architectures, so not all databases are designed in the same way.
Despite the lack of an absolute definition, most sources agree that a database, at the very
least, is a collection of data organized in a structured format that is defined by metadata
that describes that structure. You can think of metadata as data about the data being stored;
it defines how the data is stored within the database.
Over the years, a number of database models have been implemented to store and
manage data. Several of the more common models include the following:

  • Hierarchical This model has a parent–child structure that is similar to an inverted
    tree, which is what forms the hierarchy. Data is organized in nodes, the logical
    equivalent of tables in a relational database. A parent node can have many child nodes,
    but a child node can have only one parent node. Although the model has been highly
    implemented, it is often considered unsuitable for many applications because of its

inflexible structure and lack of support for complex relationships. Still, some
implementations such as IMS from IBM have introduced features that work around
these limitations.

  • Network This model addresses some of the limitations of the hierarchical model.
    Data is organized in record types, the logical equivalent of tables in a relational
    database. Like the hierarchical model, the network model uses an inverted tree
    structure, but record types are organized into a set structure that relates pairs of record
    types into owners and members. Any one record type can participate in any set with
    other record types in the database, which supports more complex queries and
    relationships than are possible in the hierarchical model. Still, the network model has
    its limitations, the most serious of which is complexity. In accessing the database,
    users must be very familiar with the structure and keep careful track of where they are
    and how they got there. It’s also difficult to change the structure without affecting
    applications that interact with the database.