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276 Big Data Analytics for Connected Vehicles and Smart Cities Summary 277

transportation use cases that can be used as a model for a customized smart city
approach, explaining how the use cases can be implemented in practice, with
respect to smart city transportation.

12.12 Review of Chapter 9

Establishment and operation of a smart city transportation data lake is an im-
portant consideration if the power and value of analytics is to be unleashed.
Current approaches to this include the development of data ingestion platforms
that can bring data together from multiple sources, assembling it and then dis-
tributing it to many parties. The data lake concept incorporates this kind of
smart data switch approach but adds the extremely valuable element of analyt-
ics capability and analytic sharing. The creation of a smart city transportation
data lake has the potential to provide substantial inputs into decision-making,
including performance management and service delivery planning. It also has
the capability to act as a strong cohesive force between the separate elements
of a smart city implementation by providing a common thread for data and
analytic sharing. Experience has shown that simply making the data available
across a smart city is not likely to guarantee effective use of the data. Extending
the sharing approach to include the analytics that can be derived from the data
is likely to provide additional stimulus for good use of data and analytics. Just
as we have derived lessons and experiences from prior implementations of intel-
ligent transportation systems, there are some great lessons and experiences to
be learned from the creation of data lakes in enterprises beyond transportation.
Before proposing an approach to the establishment and operation of a smart
city data transportation lake, Chapter 9 provides an overview of the challenges
that can be involved in the creation of a smart city transportation data lake.
This emphasizes the need for the incorporation of lessons learned, practical
experiences, and the adoption of practical, robust approach to the creation of
the smart city transportation data lake. To emphasize the value of the proposed
approach, Chapter 9 also includes a mapping of the challenges to the essential
elements of the proposed approach, explaining the value that can be delivered
through the creation and operation of a smart city transportation data lake.
Chapter 9 concludes with an exposition of how analytics and the data lake can
be used to guide the structure of a smart city transportation organization and
provide the foundation for a successful enterprise.

12.13 Review of Chapter 10

To illustrate the value of big data and analytics within a smart city transporta-
tion initiative, Chapter 10 defines a range of concepts that relate the application