Big Data Pipeline Master; Tools and Techniques for Success
jphil
₩77
초급 / Big Data, Elasticsearch, Apache Spark, Kibana, Hadoop, Logstash, s3-bucket
5.0
(21)
You will learn about the four stages of big data processing [data collection ▶ data storage ▶ data analysis ▶ expression] in a more fun and systematic way through a code lab method consisting of 30% theory + 70% practice 🧑🏻🏫
초급
Big Data, Elasticsearch, Apache Spark
Big Data Pipeline Master; Tools and Techniques for Success
jphil
₩77
초급 / Big Data, Elasticsearch, Apache Spark, Kibana, Hadoop, Logstash, s3-bucket
5.0
(21)
15-day big data pilot project
빅디
₩102
초급 / Big Data, Hadoop, Kafka, ZooKeeper, Flume, Impala, Data Engineering, Redis, kakao-tech
4.8
(122)
"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.
초급
Big Data, Hadoop, Kafka
15-day big data pilot project
빅디
₩102
초급 / Big Data, Hadoop, Kafka, ZooKeeper, Flume, Impala, Data Engineering, Redis, kakao-tech
4.8
(122)
Data Engineering Course (1): Installing Big Data Hadoop Directly
Billy Lee
₩43
초급 / Big Data, Hadoop, Data Engineering, Java, mapreduce
4.6
(41)
Students who want to learn Hadoop and Big Data will celebrate the amazing advancements in experiencing the world of Big Data through this course!
초급
Big Data, Hadoop, Data Engineering
Data Engineering Course (1): Installing Big Data Hadoop Directly
Billy Lee
₩43
초급 / Big Data, Hadoop, Data Engineering, Java, mapreduce
4.6
(41)
Big Data Cluster Build Package; Roadmap to Success
jphil
₩77
초급 / Big Data, Apache Spark, Hadoop, Data Engineering, cluster
4.8
(20)
This is a code lab-based class where you will directly build a big data system or distributed processing system cluster (HDFS, Zookeeper, Spark, Zeppelin) that guarantees high availability.
초급
Big Data, Apache Spark, Hadoop
Big Data Cluster Build Package; Roadmap to Success
jphil
₩77
초급 / Big Data, Apache Spark, Hadoop, Data Engineering, cluster
4.8
(20)
