Big Data


Big Data is a term used to describe the large amount of data that is generated from various sources. It is used to analyze and gain insights from data that would otherwise be too complex or time consuming to process. Big Data technology is used in a variety of industries, such as healthcare, finance, retail, and manufacturing. Major vendors for Big Data technology include IBM, Microsoft, Oracle, SAP, and Cloudera. These vendors provide software and services to help organizations manage and analyze their data. They also provide tools to help organizations gain insights from their data and make better decisions.

About Big Data Training and Certification Courses

Big Data training and certification courses provide individuals with the skills and knowledge to work with large datasets. These courses cover topics such as data analysis, data mining, machine learning, and data visualization. They also provide hands-on experience with popular Big Data tools and technologies. With these courses, individuals can gain the skills needed to become a successful Big Data professional.

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Prerequisites for Big Data Certifications

• Knowledge of basic programming languages such as Java, Python, and SQL.
• Understanding of data structures and algorithms.
• Familiarity with distributed computing frameworks such as Hadoop and Spark.
• Knowledge of data analysis and visualization tools such as Tableau and Power BI.
• Understanding of machine learning and artificial intelligence concepts.
• Ability to work with large datasets.

Who should take Big Data Certification Training Courses?

• Professionals looking to gain expertise in Big Data technologies
• IT professionals who want to upgrade their skills
• Data Scientists and Analysts
• Business Intelligence Professionals
• Software Developers
• Project Managers
• Graduates and Postgraduates looking to make a career in Big Data

Skills Earned by Individuals after Completing Big Data Training and Certification Courses

1. Understanding of Big Data concepts and technologies such as Hadoop, MapReduce, Apache Spark, and Hive.
2. Ability to design and develop Big Data solutions using various tools and technologies.
3. Knowledge of data mining, data warehousing, and data analysis techniques.
4. Ability to develop and implement data-driven strategies.
5. Understanding of data security and privacy regulations.
6. Proficiency in programming languages such as Java, Python, and Scala.
7. Knowledge of data visualization tools such as Tableau and Power BI.
8. Ability to create and maintain data pipelines.
9. Understanding of machine learning algorithms and their applications.
10. Ability to develop and deploy predictive models.

Reasons to Choose Koenig Solutions for Big Data Courses

Benefits of Choosing Koenig Solutions for Big Data Training:
• Certified Instructors: Koenig Solutions provides certified instructors to ensure quality training.
• Boost Your Career: Koenig Solutions offers customized training programs to help you boost your career.
• Destination Training: Koenig Solutions offers destination training to help you learn in a comfortable environment.
• Affordable Pricing: Koenig Solutions offers affordable pricing for its Big Data training programs.
• Top Training Institute: Koenig Solutions is a top training institute for Big Data training.
• Flexible Dates: Koenig Solutions offers flexible dates for its Big Data training programs.
• Instructor-Led Online Training: Koenig Solutions provides instructor-led online training for Big Data.
• Wide Range of Courses: Koenig Solutions offers a wide range of courses for Big Data training.
• Accredited Training: Koenig Solutions provides accredited training for Big Data.

Benefits of Taking Big Data Certification Courses

• Improved job prospects: According to a survey by IBM, 77% of organizations are planning to increase their investments in Big Data and analytics.
• Increased salary: According to Indeed, the average salary of a Big Data professional is $117,000 per year.
• Better understanding of data: Big Data Certification Training helps individuals to understand the data and its implications better.
• Improved decision making: Big Data Certification Training helps individuals to make better decisions by analyzing data.
• Increased efficiency: Big Data Certification Training helps individuals to use data more efficiently and effectively.
• Improved problem solving skills: Big Data Certification Training helps individuals to develop problem solving skills and apply them to real-world scenarios.


Ans - No, the published fee includes all applicable taxes.

Yes, Koenig Solutions is an authorized and accredited training partner of many certification providers such as Microsoft, Oracle, AWS, and many others to deliver their Big Data Analytics certification courses worldwide.

In order to take up the course, candidates must hold an AWS Certified Cloud Practitioner. Alternatively, candidates can hold an Associate-level certification; these are: AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate, or AWS Certified SysOps Administrator - Associate. It is also recommended they possess a strong background and understanding of architecting AWS Big Data services. This should come with the ability to fit into the data life cycle of collection, ingestion, storage, processing, and visualization. Finally, they should have a minimum of five years (inclusive of hands-on) experience within a data analytics field.

The Hadoop Developer with Spark certification exam cost is USD 295. The minimum passing score for this exam is 70%.

The Oracle Big Data Fundamentals course packs a well-rounded syllabus, which is delivered as instructor-led 5-day certification training.

There is no necessity for prior knowledge of Apache Hadoop, Cloudera Manager, or Cloudera enterprise. However, foundational information on how to use the Linux operating system will help make this end to end solution a breeze.

Depending on your aptitude for learning independently or within classroom settings, pick your Big Data course wisely. Self-learning courses offer the convenience of moving as you feel comfortable. Classroom settings encourage practical learning with engaging discussions and perspectives that vary from yours, a new take on the same subject could spark new ideas. For new learners starting with a classroom setting may be more comfortable. Self-learning courses work better for professionals on the go. 
But, we would recommend a classroom setting or an online classroom session just to ensure the concepts learned to stay longer with you. Along with group activities and case study discussions within a traditional training set up will offer learners a better understanding to implement Big Data best practices in an enterprise with thorough data analysis.