This course will teach you how to: – Warehouse your data efficiently using Hive, Spark SQL and Spark DataFframes. – Work with large graphs, such as social graphs or networks. – Optimize your Spark applications for maximum performance.This course will teach you how to: – Warehouse your data efficiently using Hive, Spark SQL and Spark DataFframes. – Work with large graphs, such as social graphs or networks. – Optimize your Spark applications for maximum performance.
This specialization is made for people working with data (either small or big). If you are a Data Analyst, Data Scientist, Data Engineer or Data Architect (or you want to become one) — don’t miss the opportunity to expand your knowledge and skills in the field of data engineering and data analysis on the large scale.This specialization is made for people working with data (either small or big). If you are a Data Analyst, Data Scientist, Data Engineer or Data Architect (or you want to become one) — don’t miss the opportunity to expand your knowledge and skills in the field of data engineering and data analysis on the large scale.
This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You’ll feel empowered to have conversations about big data and the data analysis process.
Learning Outcomes. By the end of this course you will be able to: – read data from persistent storage and load it into Apache Spark, – manipulate data with Spark and Scala, – express algorithms for data analysis in a functional style, – recognize how to avoid shuffles and recomputation in Spark,
This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
*Disclaimer : Above courses are just recommendations from the author , and not the work of bigdataprogrammers.com.