Big Data Certification Training
- Offered byAdvance Innovative Group
Big Data Certification Training at Advance Innovative Group Overview
Duration | 6 months |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Big Data Certification Training at Advance Innovative Group Highlights
- Earn a certificate after successful completion of the program
- High-quality Instructor-led training is provided to the participants
- Instructor-led training on Automation Anywhere Tools that are necessary parts of the RPA Training
- Get 100% placement support
Big Data Certification Training at Advance Innovative Group Course details
- Data analysts, data engineers, software developers, IT professionals, and business analysts seeking expertise in big data technologies
- Mastery of big data concepts, including storage, processing, and analysis techniques.
- Proficiency in utilizing leading big data tools and platforms such as Hadoop, Spark, and NoSQL databases.
- Ability to design and implement scalable data pipelines for efficient data processing.
- Skill in applying advanced analytics techniques to extract insights from large datasets.
- Big data as the name suggests refers to data sets that are so large or complex that traditional data processing applications are inadequate to deal with them
- Data is comprised of bits and bytes, and as individuals we come across huge and variety of data in our every-day lives
- The value of this data can only be understood when we can identify patterns, mixtures, trends and clusters within the data that then trigger questions to better understand our businesses
- The term 'big data-training often refers simply to the use of predictive analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set
Big Data Certification Training at Advance Innovative Group Curriculum
Introduction to Big Data
Understanding the characteristics and challenges of big data
Overview of big data technologies and ecosystems
Data Storage and Management
Introduction to distributed file systems (e.g., Hadoop Distributed File System)
Hands-on experience with storing and retrieving data using Hadoop HDFS
Big Data Processing Frameworks
Introduction to MapReduce programming paradigm
Hands-on experience with Apache Spark for large-scale data processing
NoSQL Databases
Overview of NoSQL databases and their use cases
Hands-on experience with MongoDB or Apache Cassandra for scalable data storage
Data Ingestion and Streaming
Introduction to Apache Kafka for real-time data streaming
Hands-on experience with building data pipelines using Kafka and Apache Flume
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