Database Reference
In-Depth Information
from the final outputs of the working team. This person sets the priorities
for the project and clarifies the desired outputs.
Project Manager: Ensures that key milestones and objectives are met
on time and at the expected quality.
Business Intelligence Analyst: Provides business domain expertise
based on a deep understanding of the data, key performance indicators
(KPIs), key metrics, and business intelligence from a reporting
perspective. Business Intelligence Analysts generally create dashboards
and reports and have knowledge of the data feeds and sources.
Database Administrator (DBA): Provisions and configures the
database environment to support the analytics needs of the working team.
These responsibilities may include providing access to key databases or
tables and ensuring the appropriate security levels are in place related to
the data repositories.
Data Engineer: Leverages deep technical skills to assist with tuning SQL
queries for data management and data extraction, and provides support
for data ingestion into the analytic sandbox, which was discussed in
Chapter 1, “Introduction to Big Data Analytics.” Whereas the DBA sets up
and configures the databases to be used, the data engineer executes the
actual data extractions and performs substantial data manipulation to
facilitate the analytics. The data engineer works closely with the data
scientist to help shape data in the right ways for analyses.
Data Scientist: Provides subject matter expertise for analytical
techniques, data modeling, and applying valid analytical techniques to
given business problems. Ensures overall analytics objectives are met.
Designs and executes analytical methods and approaches with the data
available to the project.
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