IBM offers a free introductory course called Big Data Foundations – Level 1 that covers the foundations of Big Data, including its main features (volume, velocity, and variety), business applications, data governance, and the technology used to handle massive datasets. The course aids students in comprehending how businesses use big [...]
The foundations of the Apache Hadoop ecosystem and big data processing are covered in the beginner-friendly course Introduction to Apache Hadoop. Hadoop architecture, HDFS (Hadoop Distributed File System), YARN, MapReduce, Apache Hive, data lakes, Hadoop deployment, security, and cluster management are all covered in the course. It is intended to [...]
The fundamental ideas of Big Data are presented in Big Data Foundations, including the features of large-scale data (Volume, Velocity, and Variety), how businesses gather and handle enormous datasets, common Big Data technologies, business applications, and the competencies needed to operate in data-driven settings. The course offers a non-technical introduction [...]
One of the most well-liked frameworks for big data processing and analytics, Apache Spark for Beginners is a free introduction course that aims to help students grasp its foundations. Resilient Distributed Datasets (RDDs), Spark’s ecosystem, distributed computing principles, and Spark’s application for massive data processing are all covered in this [...]
Great Learning offers a free introductory course called “Hadoop Fundamentals” that aims to teach students the fundamentals of Big Data and the Hadoop ecosystem. Hadoop architecture, HDFS (Hadoop Distributed File System), YARN, MapReduce, Hive, and other essential elements for distributed storage and massive data processing are covered in the course. [...]
Cloudera developed a beginner-friendly specialization called “Modern Big Data Analysis with SQL,” which teaches students how to use SQL on contemporary distributed data platforms to analyze large-scale datasets. The course covers distributed query engines like Hive and Impala, big data ideas, SQL basics, and methods for querying data kept in [...]
A thorough overview of Google Cloud’s data and AI ecosystem is given in the introductory course Google Cloud Big Data and Machine Learning Fundamentals. Using essential Google Cloud services like BigQuery, Dataflow, Pub/Sub, Vertex AI, and AutoML, learners investigate the entire data-to-AI lifecycle, including data intake, processing, analytics, machine learning, [...]
Data Lakes on AWS is a cloud-based architectural and learning topic that focuses on leveraging AWS services to store, process, and analyze massive amounts of structured, semi-structured, and unstructured data. It explains how to use services like Amazon S3, AWS Lake Formation, AWS Glue, and Amazon Athena to create scalable [...]
This intermediate-level course, “Big Data on AWS,” teaches students how to use AWS services to create, manage, and analyze large-scale data solutions. Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Athena, Amazon DynamoDB, and Amazon QuickSight are among the major AWS big data technologies covered in the course. In accordance with [...]
You can learn how to use Apache Spark for large-scale data analytics in Azure environments with this free Microsoft Learn course. You will discover how to build and set up Spark environments, load and analyze data, use Spark notebooks for data analysis, and visualize insights from large data sets. Practical, [...]