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Big Data Specialization. Unlock Value in Massive Datasets. Learn fundamental big data methods in six straightforward courses. Instructors: Amarnath Gupta. +2 more. Enroll for Free. Starts Nov 12. Financial aid available. 134,725 already enrolled.
Master Hadoop for big data processing. Learn to use Hadoop ecosystem tools like HDFS, MapReduce, and Hive for managing large datasets.
This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark.
Gain expertise in managing large data sets using Our Hadoop Big Data Training Course. Learn to improve business processes & productivity within your organization. Gain a competitive advantage in the United States job market. Dates & Prices Download Syllabus.
Cloudera Certification provides the benchmark in verifying your proficiency with Cloudera Data Platform. Each role-based exam assesses your knowledge and skills in working with the Cloudera platform, from system administration to solution development to data analysis and more.
Big Data Hadoop training covers Hadoop ecosystem components, MapReduce, data processing tools, cluster management, and more. Prerequisites for certifications include programming knowledge (Java/Python), data understanding, Linux familiarity, and analytical skills.
Best Online Hadoop Courses and Programs | edX. Explore these free Hadoop courses and more to learn about big data and the world of Hadoop developers.
This badge earner has demonstrated a foundational knowledge of Big Data with Spark and Hadoop. The individual has knowledge of Apache Hadoop architecture, ecosystem, practices, and the use of applications including HDFS, HBase, Spark, and MapReduce.
Industry-Relevant Curriculum: Courses designed to meet industry demands. Real-world Case Studies: Analyzing real-world scenarios to develop problem-solving skills. Hadoop enables the seamless addition of nodes to a cluster, making it highly scalable to handle increasing data loads.
Manage big data on a cluster with HDFS and MapReduce. Write programs to analyze data on Hadoop with Pig and Spark. Store and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and Presto. Design real-world systems using the Hadoop ecosystem.