IBM
NoSQL, Big Data, and Spark Foundations Specialization
IBM

NoSQL, Big Data, and Spark Foundations Specialization

Springboard your Big Data career. Master fundamentals of NoSQL, Big Data, and Apache Spark with hands-on job-ready skills in machine learning and data engineering.

IBM Skills Network Team
Muhammad Yahya
Romeo Kienzler

Instructors: IBM Skills Network Team

10,319 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.4

(173 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.4

(173 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Work with NoSQL databases to insert, update, delete, query, index, aggregate, and shard/partition data.

  • Develop hands-on NoSQL experience working with MongoDB, Apache Cassandra, and IBM Cloudant.

  • Develop foundational knowledge of Big Data and gain hands-on lab experience using Apache Hadoop, MapReduce,  Apache Spark, Spark SQL, and Kubernetes.

  • Perform Extract, Transform and Load (ETL) processing and Machine Learning model training and deployment with Apache Spark.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

Introduction to NoSQL Databases

Course 118 hours4.6 (296 ratings)

What you'll learn

  • Differentiate among the four main categories of NoSQL repositories.

  • Describe the characteristics, features, benefits, limitations, and applications of the more popular Big Data processing tools.

  • Perform common tasks using MongoDB tasks including create, read, update, and delete (CRUD) operations.

  • Execute keyspace, table, and CRUD operations in Cassandra.

Skills you'll gain

Category: Cloud Database
Category: Mongodb
Category: Cassandra
Category: NoSQL
Category: Cloudant

Introduction to Big Data with Spark and Hadoop

Course 219 hours4.4 (383 ratings)

What you'll learn

  • Explain the impact of big data, including use cases, tools, and processing methods.

  • Describe Apache Hadoop architecture, ecosystem, practices, and user-related applications, including Hive, HDFS, HBase, Spark, and MapReduce.

  • Apply Spark programming basics, including parallel programming basics for DataFrames, data sets, and Spark SQL.

  • Use Spark’s RDDs and data sets, optimize Spark SQL using Catalyst and Tungsten, and use Spark’s development and runtime environment options.

Skills you'll gain

Category: Big Data
Category: SparkSQL
Category: SparkML
Category: Apache Hadoop
Category: Apache Spark

Machine Learning with Apache Spark

Course 315 hours4.5 (80 ratings)

What you'll learn

  • Describe ML, explain its role in data engineering, summarize generative AI, discuss Spark's uses, and analyze ML pipelines and model persistence.

  • Evaluate ML models, distinguish between regression, classification, and clustering models, and compare data engineering pipelines with ML pipelines.

  • Construct the data analysis processes using Spark SQL, and perform regression, classification, and clustering using SparkML.

  • Demonstrate connecting to Spark clusters, build ML pipelines, perform feature extraction and transformation, and model persistence.

Skills you'll gain

Category: Machine Learning
Category: Machine Learning Pipelines
Category: Data Engineer
Category: SparkML
Category: Apache Spark

Instructors

IBM Skills Network Team
IBM
58 Courses979,419 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Management? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions