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Hadoop Big Data Certification Course Outline
Module 1: Understanding Hadoop
- What is Web Hadoop?
- Why is Hadoop Important?
- Hadoop Architecture
- Challenges of Using Hadoop
Module 2: Processing Distributed Data
- HDFS
- MapReduce
- Architecture
- Processing Data
Module 3: Introduction to Data Storage and Processing
- Overview
- Projects for Structured Data Storage and Processing
Module 4: Defining Hadoop Cluster Requirements
- Hadoop Cluster
- Advantages
- Hadoop Cluster Architecture
- Best Practices for Building Hadoop Cluster
Module 5: Configuring a Cluster
- Types of Configuration Files Drive Hadoop Configuration
- Code Example
Module 6: Maximizing HDFS Robustness
- Three Types of Failures in HDFS
- Data Disk Failure, Heartbeats, and Re-Replication
- Cluster Rebalancing
- Data Integrity
- Metadata Disk Failure
- Snapshots
Module 7: Managing Resources and Cluster Health
- Managing Resources
- Managing HDFS Cluster
- Secondary NameNode Configuration
- MapReduce Cluster Management
Module 8: Maintaining a Cluster
- FileSystem Checks
- HDFS Balancer Utility
- Add New Nodes to Cluster
- Decommissioning a Node from Cluster
- Datanode Volume Failures
- Database Backups
- HDFS Metadata Backup
- Purging Older Log Files
Module 9: Extending Hadoop and Implementing Data Ingress
- Extending Hadoop Towards Data Lake
Module 10: Extending Hadoop and Implementing Data Ingress
- Hadoop Built-in Ingress and Egress Tools
Module 11: Planning for Backup, Recovery, and Security
- Introduction to Backup and Recovery
- Goals and Objectives
Module 12: Introduction to Big Data
- What is Big Data?
- Three V’s
- Sources of Big Data
Module 13: Storing Big Data
- Introduction to Big Data Storage
- Key Requirements of Big Data Storage
- Big Data Storage Architectures
Module 14: Processing Big Data
- Introduction to Data Processing
- Big Data Processing Frameworks
- What is Traditional Approach?
- MapReduce
- Hadoop and Big Data
- Distributed Storage System
- YARN
- Hadoop 1.0/Hadoop 2.0
- Advantages of Hadoop
- Hadoop Ecosystem
- Hortonworks Data Platform
Module 15: Tools and Techniques to Analyse Big Data
- Apache Hadoop
- Microsoft HDInsight
- NoSQL
- Hive
- Sqoop
- PolyBase
- Big Data in Excel
- Presto
Module 16: Developing a Big Data Strategy
- Steps to Develop a Big Data Strategy
- Understanding Business Objectives
- Have a Clear Strategy for Hadoop
- Build a Data-Driven Culture
- Choose the Right Platform
- Start Small
Module 17: Implementing Big Data Solution
- Steps for Implementing a Big Data Solution
- Collect and Load Data
- Process, Query, Transform Data
- Consume and Visualize Data
- Build End-To-End Solutions
Who should attend this Hadoop Big Data Certification Course?
This Big Data Hadoop Course in Albany, NY is suitable for a wide range of individuals who are interested in mastering the concepts and techniques related to Hadoop and Big Data. This course can be beneficial for a wide range of professionals, including:
- Data Professionals
- Software Developers
- Database Administrators
- System Administrators
- IT Professionals
- Business Analysts
- Project Managers
Prerequisites of the Hadoop Big Data Certification Course
There are no formal prerequisites for this Big Data Hadoop Course.
Hadoop Big Data Certification Training Course Overview
Understanding Hadoop, the open-source framework, is crucial in the era of immense data growth in Albany, NY. This course explores Hadoop's relevance in processing vast datasets efficiently, making it indispensable for professionals navigating the realm of big data analytics.
Proficiency in Hadoop in Albany, NY is essential for professionals seeking mastery in big data management and analytics. Data scientists, analysts, and IT professionals aiming to harness the power of massive datasets should prioritize acquiring skills in Hadoop. This course empowers participants to manipulate, process, and analyze big data precisely and quickly.
This intensive 2-day training in Albany, NY equips delegates with hands-on experience in Hadoop, ensuring a comprehensive understanding of its components. Through interactive sessions, participants will delve into Hadoop's architecture, MapReduce programming, and HDFS, gaining practical insights into handling large-scale data effectively. The training is tailored to accelerate the learning curve for quick application in real-world scenarios.
Course Objectives:
- To comprehend the fundamentals of Hadoop and its ecosystem
- To gain proficiency in writing MapReduce programs
- To understand Hadoop Distributed File System (HDFS) and its role in data storage
- To explore various Hadoop ecosystem components like Hive and Pig
- To learn techniques for optimizing and troubleshooting Hadoop clusters
- To grasp the integration of Hadoop with other big data tools
- To acquire practical skills in data ingestion and processing with Hadoop
After completing this Big Data Hadoop Course in Albany, NY, delegates will receive a recognized certification validating their expertise in Hadoop. This certification is a testament to their proficiency in handling big data, making them valuable assets in the ever-evolving landscape of data analytics and management.
What’s included in this Hadoop Big Data Certification Course?
- World-Class Training Sessions from Experienced Instructors
- Hadoop Big Data Certificate
- Digital Delegate Pack
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Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data Training | Hadoop Big Data Certification in Albany, NY. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Unlock your potential with The Knowledge Academy's Big Data Training | Hadoop Big Data Certification in Albany, NY, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.
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Maximise your training budget
Cut unnecessary costs and focus your entire budget on what really matters, the training.
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Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings
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Big Data Training | Hadoop Big Data Certification in Albany, NY FAQs
Hadoop is an open-source framework for distributed storage and processing of large data sets. It uses the Hadoop Distributed File System (HDFS) and MapReduce programming model to enable scalable and parallel data processing.
No, Hadoop is not strictly necessary for Big Data. While Hadoop is a popular framework for processing large datasets, other technologies like Apache Spark, NoSQL databases, and cloud-based solutions also handle Big Data effectively.
Yes, Big Data often requires coding for data processing, analysis, and manipulation tasks. Programming languages like Python, Java, and Scala are commonly used in Big Data applications.
Java is the primary programming language for Hadoop. It is essential for developing and running Hadoop applications, as Hadoop's core components are implemented in Java.
Hadoop Developers need expertise in Java, MapReduce programming, Hadoop Distributed File System (HDFS), data processing, and strong analytical skills to design, develop, and maintain big data applications.
To become a Hadoop Big Data Developer, acquire programming skills in languages like Java or Python, master Hadoop ecosystem components, gain experience in data processing, and stay updated on industry trends. The perfect starting point is pursuing The Knowledge Academy’s Big Data Hadoop Course.
After completing a Big Data Hadoop Certification Training Course, focus on advanced concepts like Spark, Hive, and Pig. Deepen your data processing, analysis, and machine learning knowledge for comprehensive expertise.
After completing a Big Data Hadoop Course, you may qualify for roles such as Big Data Engineer, Data Analyst, Hadoop Developer, Data Scientist, or Database Administrator, leveraging your expertise in handling large-scale data processing and analytics.
Online courses provide structured lessons, hands-on exercises, and expert guidance to help you learn Hadoop Big Data efficiently. They offer flexibility, accessibility, and up-to-date content for effective skill development.
Big Data Hadoop Training offers skills in managing vast data sets, enhancing career opportunities, and leveraging the power of the Hadoop ecosystem for efficient data processing, storage, and analysis.
To register for Hadoop Big Data Training Courses, visit the official training website, fill out the registration form, provide the necessary details, choose a suitable course, and complete the payment process.
Big Data system requirements typically include robust hardware with ample storage, high processing power, and sufficient memory. Additionally, scalable infrastructure, parallel processing capabilities, and efficient data management tools are essential.
Hadoop Big Data Training typically includes instructor-led classroom sessions, live online classes, and self-paced learning. These modes cater to diverse learning preferences and schedules.
The training fees for Hadoop Big Data Certificationin Albany, NY starts from $3195
The Knowledge Academy is the Leading global training provider for Hadoop Big Data Certification.
Please see our Big Data and Analytics Training courses available in Albany, NY
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Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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