CPB101: Google Cloud Platform Serverless Data Analysis with BigQuery and Cloud Dataflow, Toronto

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<DIV CLASS="entry-content">
<DIV CLASS="entry-content">
<H3><SPAN>Course CPB101:</SPAN><BR><SPAN>Google Cloud Platform Serverless Data Analysis with BigQuery and Cloud Dataflow</SPAN></H3>
<H4><SPAN>(1 day)</SPAN></H4>
<P><BR></P>
<H4><SPAN>Course Description</SPAN></H4>
<P>This 8-hour instructor-led course builds upon the CPB100 (which is a prerequisite). Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis, and pipeline processing.</P>
<H4><SPAN>Learning Objectives</SPAN></H4>
<P>At the end of this one-day course, participants will be able to:</P>
<UL>
<LI>Build up a complex BigQuery using clauses, inner selects, built-in functions, and joins</LI>
<LI>Load and export data to/from BigQuery</LI>
<LI>Identify need for nested, repeated fields, and user-defined functions</LI>
<LI>Understand pipeline processing, terms, and concepts</LI>
<LI>Write pipelines in Java or Python and launch them locally or in the Cloud</LI>
<LI>Implement Map Reduce  transforms in Dataflow pipelines</LI>
<LI>Join datasets as side inputs</LI>
<LI>Interoperate Dataflow, BigQuery, and Cloud Pub/Sub for real-time streaming</LI>
</UL>
<H4><SPAN>Who Should Attend</SPAN></H4>
<P>This class is intended for data analysts and data scientists responsible for: analyzing and visualizing big data, implementing cloud-based big data solutions, deploying or migrating big data applications to the public cloud, implementing and maintaining large-scale data storage environments, and transforming/processing big data.</P>
<H4><SPAN>Prerequisites</SPAN></H4>
<UL>
<LI>CPB100 - Google Cloud Platform Big Data & Machine Learning Fundamentals (or equivalent experience)</LI>
<LI>Experience using a SQL-like query language to analyze data</LI>
<LI>Knowledge of either Python or Java</LI>
</UL>
<HR>
<H4><SPAN>Modules</SPAN></H4>
<P><STRONG><SPAN>Module 1: BigQuery Deep Dive</SPAN></STRONG></P>
<UL>
<LI>A 3-hour (deep dive into details of BigQuery.</LI>
<LI>What is BigQuery?</LI>
<LI>Queries and functions + lab</LI>
<LI>Load and export data + lab</LI>
<LI>Advanced Capabilities</LI>
<LI>Performance and pricing</LI>
</UL>
<P><STRONG><SPAN>Module 2: Dataflow Deep Dive</SPAN></STRONG></P>
<UL>
<LI>A 3-hour deep dive into details of Cloud Dataflow.  What is Dataflow?</LI>
<LI>Data pipeline + lab</LI>
<LI>MapReduce in Dataflow + lab</LI>
<LI>Side inputs + lab</LI>
<LI>Streaming + demo</LI>
</UL>
<P><SPAN><STRONG>Module 3: Summary</STRONG></SPAN></P>
<UL>
<LI>Where to go from here</LI>
<LI>Resources</LI>
<LI></LI>
</UL>
</DIV>
</DIV>

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CPB101: Google Cloud Platform Serverless Data Analysis with BigQuery and Cloud Dataflow, Toronto

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