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Data Engineering & Data Science

EAS-004
Understand current approaches to designing data warehouses and using them in heterogeneous enterprise information systems.
EAS-011
This training provides an overview of modern methods for data storage, including key-value stores, document-oriented and database management systems, distributed data storage and processing systems.
EAS-016
This training is aimed at developers and covers the full stack of technical features, architecture and performance tuning. Apache Hive supports analysis of large datasets stored in Hadoop's HDFS and compatible file systems and it provides an SQL-like language with schema on read and transparently converts queries to map/reduce.
EAS-019
This is a training about Impala for developers covering the full stack of technical features, architecture and performance tuning. Impala supports analysis of large datasets stored in HDFS and compatible file systems, providing an SQL-like language.
EAS-025
A basic practical training in machine learning that covers the entire cycle of building a solution – from initial data capture (“.xlsx file”), through building a model, to explaining data and outcomes specifics to the end customer.
EAS-027
Oriented towards python programmers or ML practitioners who want to understand the RL framework in detail.
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