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Data Science Primer

Trivera Technologies

Course Duration : 1 day

Enrolled : 23666

Course Description

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The Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise is an introductory level course that introduces the entire multi-disciplinary Data Science team to the many evolving and related terms, with focus on Big Data, Data Science, Predictive Analytics, Artificial Intelligence, Data Mining, Data Warehousing. The overview explores the current state of the art and science, the major components of a modern data science infrastructure, team roles and responsibilities, and level-setting realistic possible outcomes for your investment.

This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.

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Training content

Foundations
Grids and Virtualization
Service-Oriented Architecture
Enterprise Service Bus
Enterprise Message Bus
The Cloud
The Hadoop Ecosystem
HDFS: Hadoop Distributed File System
Resource Negotiators: YARN, Mesos, and Spark; ZooKeeper
Hadoop Map/Reduce
Spark
Hadoop Ecosystem Distributions: Cloudera, Hortonworks, OpenSource
Big Data, NOSQL, and ETL
Big Data vs. RDBMS
NOSQL: Not Only SQL
Relational Databases: Oracle, MariaDB, DB/2, SQL Server, PostGreSQL
Key/Value Databases: JBoss Infinispan, Terracotta, Dynamo, Voldemort
Columnar Databases: Cassandra, HBase, BigTable
Document Databases: MongoDB, CouchDB/CouchBase
Graph Databases: Giraph, Neo4J, GraphX
Apache Hive
Common Data Formats
Leveraging SQL and SQL variants
ETL: Exchange, Transform, Load
Data Ingestion, Transformation, and Loading
Exporting Data
Sqoop, Flume, Informatica, and other tools
Enterprise Integration Patterns and Message Busses
Enterprise Integration Patterns: Apache Camel and Spring Integration
Enterprise Message Busses: Apache Kafka, ActiveMQ, and other tools
Developing in Hadoop Ecosystem
Languages: R, Python, Java, Scala, Pig, and BPMN
Libraries and Frameworks
Development, Testing, and Deployment
Artificial Intelligence and Business Systems
Artificial Intelligence: Myths, Legends, and Reality
The Math
Statistics
Probability
Clustering Algorithms, Mahout, MLLib, SciKit, and Madlib
Business Rule Systems: Drools, JRules, Pegasus
The Team
Agile Data Science
NOSQL Data Architects and Administrators
Developers
Grid Administrators
Business and Data Analysts
Management
Evolving your Team
Growing your Infrastructure

Costs

Price: $895.00
Discounted Price: $581.75

Certification / Credits

Guaranteed to run courses and flexible learning options.

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Description

The Data Science Overview | Technologies, Tools & Modern Roles in the Data-Driven Enterprise is an introductory level course that introduces the entire multi-disciplinary Data Science team to the many evolving and related terms, with focus on Big Data, Data Science, Predictive Analytics, Artificial Intelligence, Data Mining, Data Warehousing. The overview explores the current state of the art and science, the major components of a modern data science infrastructure, team roles and responsibilities, and level-setting realistic possible outcomes for your investment.

This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.

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