This course is designed to help you develop the skill necessary to perform ETL operations in Databricks using pyspark, build production ready ML models, learn spark optimization techniques and master distributed computing. Big data engineers provide organizations with analyses that help them assess their performance, identify market demographics, and predict upcoming changes and market trends. Azure Databricks is a data analytics platform optimized for the Microsoft Azure cloud services platform. Azure Databricks offers three environments for developing data intensive applications: Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning. A data lakehouse is a data solution concept that combines elements of the data warehouse with those of the data lake.

Learn how to use Spark, Pyspark AWS, Spark applications, Spark EcoSystem, Hadoop and Mastering PySpark.

Implement any project that requires PySpark knowledge from scratch. Know the theory and practical aspects of PySpark and AWS. People who are beginners and know absolutely nothing about PySpark and AWS. People who want to develop intelligent solutions. People who want to learn PySpark and AWS. People who love to learn the theoretical concepts first before implementing them using Python. People who want to learn PySpark along with its implementation in realistic projects.

An IBM's executive Deborah DiSanzo just announced a collaboration with a pharmaceutical giant Pfizer to speed up anticancer drug discovery. This is yet another sign of a technological transformation unfolding in pharmaceutical industry. The newly formed partnership will bring the power of IBM's supercomputer Watson and its artificial intelligence system to help researchers at Pfizer advance "immuno-oncology", a potentially promising area for cancer research. Pfizer will use Watson's capabilities of machine learning, natural language processing, and other cognitive reasoning technologies to improve analysis of massive volumes of public and private datasets, including more than 30 million sources of laboratory and data reports, research articles, patents, and other medical literature. It is supposed to assist in testing research hypotheses and identify new promising therapeutic targets.