Advance Your Skills in the Hadoop/NoSQL Data Science Stack

Overview

The ecosystem of data science tools based on the Hadoop and NoSQL stack is a crucial and growing part of the future of the industry. Data engineers need a broad knowledge of the components of this platform, and this learning path enables learners to dig in and skill up.

Extend your general Hadoop knowledge.
Branch into related tools such as Kafka, HBase, Hive, and Cassandra.
Build your NoSQL skills.

Syllabus

Courses under this program:
Course 1: Analyzing Big Data with Hive
-Learn how to use Hive to analyze large datasets and derive information from Hadoop. Learn how to work with tables, structures, aggregations, clauses, functions, and more.

Course 2: Advanced NoSQL for Data Science
-Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.

Course 3: Cloud Hadoop: Scaling Apache Spark
-Generate genuine business insights from big data. Learn to implement Apache Hadoop and Spark workflows on AWS.

Course 4: Apache Kafka Essential Training: Building Scalable Applications
-Learn about the scalability and manageability aspects of Apache Kafka and how to build asynchronous applications with Kafka and Java.

Course 5: Hadoop for Data Science Tips, Tricks, & Techniques
-Get up to speed with Hadoop. Learn tips and tricks for doing data science work in this popular big data platform.

Course 6: NoSQL Data Modeling Essential Training
-Get started with data modeling for NoSQL databases and learn how to work with common design patterns.

Course 7: Cassandra Data Modeling Essential Training (2017)
-Learn about the architecture of Cassandra—a popular NoSQL database capable of handling large amounts of fast-changing data—and discover how to design Cassandra data models.

Courses

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3 hours 13 minutes
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Generate genuine business insights from big data. Learn to implement Apache Hadoop and Spark workflows on AWS.
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1 hour 55 minutes
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Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.
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1 hour 53 minutes
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Learn how to use Hive to analyze large datasets and derive information from Hadoop. Learn how to work with tables, structures, aggregations, clauses, functions, and more.
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1 hour 13 minutes
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Get up to speed with Hadoop. Learn tips and tricks for doing data science work in this popular big data platform.
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1 hour 21 minutes
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Get started with data modeling for NoSQL databases and learn how to work with common design patterns.
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1-2 hours
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Learn about the scalability and manageability aspects of Apache Kafka and how to build asynchronous applications with Kafka and Java.
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1-2 hours
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Learn about the architecture of Cassandra—a popular NoSQL database capable of handling large amounts of fast-changing data—and discover how to design Cassandra data models.