TDWI Big Data Fundamentals: Creating Value from Non-Traditional Data Sets, Germany

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Big data is a hot topic in BI and analytics. Yet it is a complex topic that is still in the early stages of evolution. Successful big data projects that deliver real business value are challenged by multiple definitions and rapidly shifting technologies. Achieving good return on your big data investment requires strategy that focuses on purpose, people, and process before exploring data and technologies. Strategy drives planning and architecture to ensure that big data complements and does not disrupt the existing BI and analytics environment. To prepare for success with big data, start by understanding all of the pieces and how they fit together.

There are no prerequisites for this course.

Business and data analysts; BI and analytics program and project managers; BI and data warehouse architects, designers, and developers; data governance and data quality professionals getting started with big data; anyone seeking to cut through the hype to understand the opportunities, challenges, and realities of the big data phenomenon.

Common definitions of big data and the implications of each
Key characteristics of big data and why size is not among the top five
The structures that can be found in “unstructured” data
Types of big data sources—streaming data, social data, sensor data, etc.
Value opportunities and common applications for big data
Considerations when adapting architectures, organizations, and cultures to incorporate big data
The scope of big data processes, tools, and technologies

Module 1 – Big Data Basics

What Is Big Data?
- Definitions
- Characteristics (3 V’s plus 2)
- Types of Big Data
Why Big Data Analytics – Extending Advanced Analytics Capabilities
Big Data Use Cases
- Customer Understanding and Targeting
- Business Process Optimization
- Healthcare Advances
- Law Enforcement and Public Safety
- Sports Performance Improvement
- Public Transportation and Infrastructure Advances
Why Big Data Now? – The Driving Forces
Kinds of Big Data – Data Variety
Sources of Big Data
- Web and Social Media
- Machine to Machine
- Other Sources (Big Transaction Data, Biometrics, Human Generated Data,
- Publicly Available Data, Legacy Documents)
Working with Big Data – The Big Picture

Module 2 – Big Data Processes

Business Case
- Business Needs and Opportunities
- Areas of Insight
- Expected Outcomes
- Business Value Projection
Technical Case – Big Data Rationale
Data Sourcing – Getting Big Data
Data Preparation and Storage
- Data Selection
- Data Cleansing
- Data Integration
- Data Reduction
Big Data Analytics
- Problem Framing
- Analytic Purpose
- Analytic Modeling
- Data Visualization
- Consumption and Application

Module 3 – Big Data Architecture

The Role of Architecture
- What and why
Data Architecture
- Data Storage
- Data Access
- Data Analysis
- Data Consumption
Process Architecture
- Data Governance Processes
- Data Integration and Quality
Analytics Architecture
- Machine Learning
- Predictive Analytics
- Prescriptive Analytics
- Descriptive Analytics
- Reporting
Technology Architecture
- Search and Visualization
- Data Management and Data Access
- Hadoop and NoSQL
Big Data ... Big Architecture – Summary

Module 4 – Big Data Technology

The Technology Landscape – Overview
Infrastructure
- Databases
- Development and Deployment Environment
Analytics – Data Analysis
Data Sources – Big Data Providers
The Core Technologies
MapReduce
Hadoop

Module 5 – Getting Started with Big Data

Readiness Assessment – Check Your Position
Planning and Preparation – Charting the Course
Execution – Navigating the Course
Post-Project Activities – At the Destination
Best Practices – Lessons Learned
Mistakes to Avoid – More Lessons Learned

Module 6 – Summary and Conclusion

Summary of Key Points – A Quick Review
References and Resources – To Learn More

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I have attended a training from Bilginc IT Academy before and I was satisfied.

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How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

TDWI Big Data Fundamentals: Creating Value from Non-Traditional Data Sets Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.

Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.

TDWI Big Data Fundamentals: Creating Value from Non-Traditional Data Sets Training in Germany

Upcoming Trainings

TDWI Big Data Fundamentals: Creating Value from Non-Traditional Data Sets Training in Germany

Prerequisites

Who Should Attend

What You Will Learn

Outline

12 CONCEPTS ALL DATA ENGINEERS SHOULD KNOW

THE ROAD AHEAD: BIG DATA'S IMPACT ON THE AUTOMOTIVE INDUSTRY

Upcoming Trainings