The Big Data Integration and Processing 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.

With hardware requirements: Quad-Core Processor (VT-x or AMD-V support recommended), 64-bit; 8GB RAM; 20 GB disk free. You will need a high-speed internet connection because you will be downloading files up to 4 Gb in size. This course relates to 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+.

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 offers:

• Flexible deadlines: Reset deadlines based on your availability.
• 100% online
• Get a Certificate when you finish
• Beginner level
• Approximately 18 hours to complete
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish

Rating: 4.4/5

Participants: 67,301

Enroll here: https://www.coursera.org/learn/big-data-integration-processing

The process of ETL is of absolute importance in any data warehousing and Business Intelligence scenario. Getting the ETL process right has a direct bearing on the type of data that will be loaded in the data warehouse, and this directly affects the quality of Business Intelligence that is derived and finally the business insights that are reached. This Intellipaat training is your one-stop for mastering some of the best ETL tools available in the market today. This all-in-one course in ETL includes the six most powerful ETL tools, and upon the completion of the training, you will be a certified ETL professional.

The ETL tools master’s program will let you gain proficiency in top ETL tools like Informatica, SSIS, OBIEE, Talend, DataStage, and Pentaho. You will work on real-world projects in data warehousing, data integration, Hadoop connectivity, data modeling, SCD, and data schema. Upon the completion of this course, you can command the best salaries in the ETL, data warehousing, and Business Intelligence domains in top MNCs around the world.

You will learn:

• Introduction to ETL and its importance in data warehousing
• Setting up and installation of various ETL tools
• Optimizing ETL tools for best results based on specific job requirements
• OLAP, ETL, and OLTP systems
• Data modeling and dimensional modeling
• Working with star and snowflake schemas
• Dimensions, measures, and fact tables in data warehousing
• Data types and performance tuning in ETL
• SCD types and various methods of handling SCD data
• Various types of data transformation techniques
• Source qualifier transformation and mappings

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• 100% online
• Get a Certificate when you finish
• Beginner level
• Approximately 146 hours to complete
• Instructor-led Live Sessions
• Subtitles: English

Participants: 2,113

Rating: 4.8/5

Enroll here: https://intellipaat.com/etl-tool-training/

Specialisation BI Foundations with SQL, ETL and Data Warehousing is among the best online Extract, Transform, Load courses. The program consists of four online courses. In the first course, you learn the basics of SQL and how to query relational databases with this powerful language. Next, you learn to use essential Linux commands and create basic shell scripts. You continue your journey by learning to build and automate ETL, ELT, and data pipelines using BASH scripts, Apache Airflow and Apache Kafka. In the final course, you learn about Data Lakes, Data Marts as well as work with Data Warehouses. You also create interactive reports and dashboards to derive insights from data in your warehouse.

This specialization has a significant emphasis on hands-on practice employing real tools used by data professionals. Every course has numerous hands-on labs as well as a course project. While you will benefit from some prior programming experience, it is not absolutely necessary for this course. The only pre-requisites for this specialization are basic computer and data literacy, and a passion for self-learn online.

You will learn:

• Write SQL queries to work with relational databases including CREATE TABLE, SELECT, INSERT, UPDATE, DELETE, ORDER, JOIN, Functions, etc.
• Execute commonly used Linux commands; Automate Extract, Transform and Load (ETL) jobs and data pipelines using BASH scripts, Apache Airflow & Kafka
• Design Data Warehouses using star and snowflake schemas, loading and verifying data in staging areas, build cubes, rollups, and materialized views/tables
• Analyze data in warehouses using interactive reports and dashboards using BI tools such as Cognos Analytics

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• 100% online
• Get a Certificate when you finish
• Beginner level
• Approximately 5 months to complete
• Subtitles: English, Arabic, Persian

Rating: 4.6/5

Participants: 2,055

Enroll here: https://www.coursera.org/specializations/bi-foundations-sql-etl-data-warehouse

All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate, and integrated information about their supply chain, products, and customers is critical for their success. With the advent of Mobile, Social, and Cloud platforms, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools, and statistical analysis tools.

Therefore, this course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau, and ERwin. In this Data Warehousing Certification module, you will get an introduction to Data Warehousing and Business Intelligence with various ETL Tools and BI Tools with ERwin r9 Data Modeling.

At the end of the Data Warehousing Training the participants should be able to:

• Understand Data Warehousing and Business Intelligence concepts
• Use ERwin r9 for developing the Data Warehouse and Data Marts building with Staging Area
• Create Dimensions and Facts tables with Granularity
• Use ETL Tool Talend 5.x for loading the data into staging and warehouse/data marts for various Data Migration, Replication, and Integration Projects
• Use BI Tool Tableau 9.x for building and managing the operational and Analytical reports with dashboards

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• 100% online
• Get a Certificate when you finish
• Beginner level
• Approximately 30 hours to complete
• Instructor-led Live Sessions
• Lifetime Access
• 24 x 7 Expert Support
• Subtitles: English

Rating: 5/5
Participants: 1,928
Enroll here: https://www.edureka.co/data-warehousing-and-bi

Data Analyst | ETL: SQL Server, SSIS, SSAS, PowerBI, Alteryx is one of the best online Extract, Transform, Load courses. In this course, you will be clarified PowerBI, Alteryx, SSIS, SSAS, and SQL Server. SQL Server Integration Services is a platform for building enterprise-level data integration and data transformation solutions. Use Integration Services to solve complex business problems by copying or downloading files, loading data warehouses, cleaning, and mining data, and managing SQL Server objects and data.

Integration Services can extract and transform data from a wide variety of sources such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.
Integration Services includes a rich set of built-in tasks and transformations, graphical tools for building packages, and the Integration Services Catalog database, where you store, run, and manage packages.

You will learn:

• Connect to data multiple data sources
• Extract Data
• Clean and Transform data
• Load cleaned and transformed data
• Create and execute SSIS Package
• Create a Tabular Data model with SSAS
• Deploy SSAS Model
• Analyse Data
• Create Data Visualizations
• Publish Reports to Power BI Service

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• 100% online
• Get a Certificate when you finish
• Beginner level
• Approximately 7 hours to complete
• Subtitles: English

Rating: 4.2/5

Participants: 1,047

Enroll here: https://www.udemy.com/course/data-analyst-etl-sql-serverssisssaspowerbi-alteryx/

Mindmajix Intelligent Data Integration Training makes an expert in Overview of Data Integration tools, data integration hub architecture, big data management, Operational Intelligence and Power Exchange for Cloud, End-To-End Transaction Lifecycle Monitoring & Remediation, Supporting an array of inbound and outbound protocols, and available to any consuming application, system or analytics product, Load balancing and message dispatching optimizations across multiple servers.

The Intelligent Data Integration Training course aims to deliver quality training that covers solid fundamental knowledge of core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

You will learn:

• Introduction to Intelligent Data Integration
• Optimized Throughput & Resource Utilization
• Secure Data Processing
• Overview of Data Integration tools
• Simplified Data Onboarding
• Informatica Intelligent Data Platform
• Data Accessibility From Any Source
• Practice Test & Interview Questions

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• 100% online
• Get a Certificate when you finish
• Beginner level
• Approximately 30 hours to complete
• Instructor-led Live Sessions
• Lifetime Access
• 24 x 7 Expert Support
  
• Subtitles: English

Rating: 4.5/5

Participants: 557

Enroll here: https://mindmajix.com/intelligent-data-integration-training

Extract, Transform and Load Data is one of the best online Extract, Transform, Load courses. This course is designed for business and data professionals seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL.

Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then will dive into collected data sets to prepare and clean data so that it can later be loaded into its ultimate destination. At the conclusion of the course, learners will load data into its ultimate destination so that it can be analyzed and modeled. The typical student in this course will have experience working with data and an aptitude for computer programming.

You will learn:

• Combination of related tasks known as extract, transform, and load (ETL). You will start to mold and shape the data so that it can be as useful as possible for the later steps in the data science process.
• Adjust your data so that it's in a more useful state.
• Take the data you transformed and put it into a destination format and location, where it will be ready for you to work on as the project progresses.
• Work on a project in which you'll apply your knowledge of the material in this course to a practical scenario.

This course offers:

• Flexible deadlines: Reset deadlines based on your availability.
• 100% online
• Get a Certificate when you finish
• Intermediate level
• Course 2 of 5 in the CertNexus Certified Data Science Specialist
• Approx. 3 p.m. to complete
• Subtitles: English, Arabic, Persian

Rating: 4.3/5

Participants: 248

Enroll here: https://www.coursera.org/learn/extract-transform-and-load-data