Spark training course published by Coursera Academy. Big data engineers and professionals with NoSQL skills are highly sought after in the data management industry. This specialization is designed for those looking to develop the foundational skills to work with Big Data, Apache Spark, and NoSQL databases. The three information-packed courses cover popular NoSQL databases such as MongoDB and Apache Cassandra, the widely used Apache Hadoop ecosystem of big data tools, as well as the Apache Spark analytics engine for processing data at scale. You start with an overview of different categories of NoSQL data stores (not just SQL) and then work with several of them, including IBM Cloudant, MonogoDB, and Cassandra. You will perform various data management tasks, such as creating and replicating databases, querying inserts, updates, deletes, indexing, aggregating, and sharing data. Next, you will gain fundamental knowledge of cloud data technologies such as Hadoop, MapReduce, HDFS, Hive, and HBase, followed by deeper knowledge of Apache Spark, Spark Dataframes, Spark SQL, PySpark, Spark Application UI, and scaling Spark with Kubernetes. In the final course, you will learn to work with Spark Structured Streaming Spark ML – to perform extract, transform, and load (ETL) processing and machine learning.
What you will learn
- Work with NoSQL databases for insert, update, delete, query, index, aggregate, and micro/partition data.
- Develop practical NoSQL experience working with MongoDB, Apache Cassandra, and IBM Cloudant.
- Develop fundamental Big Data knowledge and gain hands-on lab experience using Apache Hadoop, MapReduce, Apache Spark, Spark SQL, and Kubernetes.
- Perform extraction, transformation, and loading (ETL) and machine learning model training and deployment with Apache Spark.
Who is this course suitable for?
- Upon successful completion of the specialization, you will have the knowledge and practical experience to start performing data engineering tasks involving NoSQL databases, Big Data, and Apache Spark.
Course details for NoSQL, Big Data, and Spark Foundations Specialization
- Publisher: Coursera
- Instructor: IBM Skills Network Team
- Language: English
- Education level: Elementary
- Number of lessons: 3
- Training duration: 1 month, including 10 hours of work per week
NoSQL, Big Data, and Spark Foundations Specialization Course Topics
Course prerequisites
- The courses in the specialization require that you have basic computer and data literacy skills, as well as some programming background with languages such as Python and SQL. No prior knowledge or experience of Big Data and NoSQL is required.
Pictures
Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Introduction to NoSQL Databases
Introduction to Big Data with Spark and Hadoop
Machine Learning with Apache Spark
File size
824 MB
