Analyze vast amounts of data in record time using Apache Spark with
Databricks in the Cloud. Learn the fundamentals, and more, of
running analytics on large clusters in Azure and AWS, using Apache
Spark with Databricks on top. Discover how to squeeze the most
value out of your data at a mere fraction of what classical
analytics solutions cost, while at the same time getting the
results you need, incrementally faster. This book explains how the
confluence of these pivotal technologies gives you enormous power,
and cheaply, when it comes to huge datasets. You will begin by
learning how cloud infrastructure makes it possible to scale your
code to large amounts of processing units, without having to pay
for the machinery in advance. From there you will learn how Apache
Spark, an open source framework, can enable all those CPUs for data
analytics use. Finally, you will see how services such as
Databricks provide the power of Apache Spark, without you having to
know anything about configuring hardware or software. By removing
the need for expensive experts and hardware, your resources can
instead be allocated to actually finding business value in the
data. This book guides you through some advanced topics such as
analytics in the cloud, data lakes, data ingestion, architecture,
machine learning, and tools, including Apache Spark, Apache Hadoop,
Apache Hive, Python, and SQL. Valuable exercises help reinforce
what you have learned. What You Will Learn Discover the value of
big data analytics that leverage the power of the cloud Get started
with Databricks using SQL and Python in either Microsoft Azure or
AWS Understand the underlying technology, and how the cloud and
Apache Spark fit into the bigger picture See how these tools are
used in the real world Run basic analytics, including machine
learning, on billions of rows at a fraction of a cost or free Who
This Book Is For Data engineers, data scientists, and cloud
architects who want or need to run advanced analytics in the cloud.
It is assumed that the reader has data experience, but perhaps
minimal exposure to Apache Spark and Azure Databricks. The book is
also recommended for people who want to get started in the
analytics field, as it provides a strong foundation.
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