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Python and Spark for Big Data (PySpark)

21 Hours

Data Analysis with Hive/HiveQL

7 Hours

Knowledge Discovery in Databases (KDD)

21 Hours

Apache Kylin: From Classic OLAP to Real-Time Data Warehouse

14 Hours

Dremio for Self-Service Data Analysis

21 Hours

Apache Arrow for Data Analysis across Disparate Data Sources

14 Hours

Data Vault: Building a Scalable Data Warehouse

28 Hours

Spark Streaming with Python and Kafka

7 Hours

Confluent KSQL

7 Hours

Apache Ignite for Administrators

7 Hours

Apache Ignite for Developers

14 Hours

Unified Batch and Stream Processing with Apache Beam

14 Hours

Apache Apex: Processing Big Data-in-Motion

21 Hours

Apache Storm

28 Hours

Apache NiFi for Administrators

21 Hours

Apache NiFi for Developers

7 Hours

Apache Flink Fundamentals

28 Hours

Introduction to Graph Computing

28 Hours

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

21 Hours

Apache Spark MLlib

35 Hours

Hortonworks Data Platform (HDP) for Administrators

21 Hours

Apache Ambari: Efficiently Manage Hadoop Clusters

21 Hours

Impala for Business Intelligence

21 Hours

Data Virtualization with Denodo Platform

14 Hours

Apache Airflow

21 Hours

Apache Hama

14 Hours

Zeppelin for Interactive Data Analytics

14 Hours

Apache Accumulo Fundamentals

21 Hours

Amazon Redshift

21 Hours

Big Data & Database Systems Fundamentals

14 Hours

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