CHFI v8 - Computer Hacking Forensic Investigator
312-49-v8
Learn how to manage big data for extracting meaningful insights by exploring the fundamentals, challenges and technology.
(BIG-DATA.AE1) / ISBN : 978-1-64459-299-1This Big Data training course offers an in-depth analysis of the concept, its challenges, and the tool and technology required to manage it. Explore the 3Vs of Big Data course - volume, velocity, and variety for handling huge data sets that are usually unmanageable by traditional database systems. Learn the architecture and components of Big Data systems, focusing on the Hadoop ecosystem, which includes HDFS, MapReduce, YARN, Spark, Hive, Pig, and HBase. Discover different types of NoSQL databases and its application for various data models. By the end of this online training, you’ll be able to design, implement, manage, store, process, and analyze big data architecture solutions.
10+ Interactive Lessons | 74+ Exercises | 106+ Quizzes | 142+ Flashcards | 142+ Glossary of terms
75+ Pre Assessment Questions | 75+ Post Assessment Questions |
28+ LiveLab | 9+ Video tutorials | 16+ Minutes
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Contact Us NowThis course focuses on the Big Data fundamentals, architecture, and analysis for handling huge data sets that cannot be managed by the traditional ways. The core concepts revolve around building Big Data systems, and extract insights
This course will improve your problem solving skills as you learn to handle complex data challenges with a data-driven approach. Most importantly, you will have a competitive edge as you explore the job opportunities in the big data landscape.
It is designed to handle massive datasets that are otherwise unmanageable for traditional database systems. It focuses on the ingestion, storage, processing, and analysis of data characterized by the 3Vs - volume, velocity, and variety.
Big Data concepts are applicable to all businesses handling huge amounts of data. It’s used to access and analyze data for making important decisions on various aspects like production, customer feedback and returns, anticipating future demands to reduce production outages, etc.
The Big Data: concepts, technology, and architecture field is very vast and you’ll be learning numerous technologies including Hadoop Ecosystem, NoSQL Database, Data Warehousing and ETL tools, Cloud Platforms (AWS, Azure, and GCP), Data Processing Engines (Apache Flink, Apache Storm), and Data Visualization Tools (Tableau, Power BI, Looker).
Big Data concepts are applicable to all businesses handling huge amounts of data. It’s used to access and analyze data for making important decisions on various aspects like production, customer feedback and returns, anticipating future demands to reduce production outages, etc.
It can be stored in several ways depending on data volumes, types, access patterns, cost and requirements. It can be stored in the cloud, data warehouses, or both. Considering the cost effectiveness and scalability of cloud solutions many big businesses are now moving towards cloud storage.