Want to ramp up your knowledge of Amazon’s big data web services and launch your first big data application on the cloud? Ian Meyers, Pratim Das, and Ian Robinson walk you through simplifying big data processing as a data bus comprising ingest, store, process, and visualize and building a big data application in real time using a combination of open source technologies, including Apache Hadoop, Spark, and Zeppelin, as well as AWS managed services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and Amazon S3. Along the way, they review architecture design patterns for big data applications and give you access to a take-home lab so that you can rebuild and customize the application yourself.
Ian Meyers is a principal solution architect at AWS, where he manages the Specialist Solution Architecture team in EMEA. He has a background in data management systems—specifically data warehousing, big data, and event-driven architectures—in the financial services, communications, and gaming industries.
Pratim Das is a specialist solutions architect for big data and analytics at AWS for EME, where he advises customers on big data architecture, migration of big data workloads to the cloud, and implementing best practices and guidelines for analytics and works with customers on advanced analytics, such as building predictive models, image recognition, NLP, and smart cities. Pratim also works closely with AWS product teams and actively participates in shaping product roadmap for his customers. He is an expert in AWS big data services such as EMR, Redshift, Kinesis, Athena, and QuickSight and works closely with the open source ecosystem, including Cassandra, Elasticsearch, Hive, HBase, Spark, R, and other commercial solutions such as SAS, Teradata, and Tableau on AWS. He has almost 18 years of experience across various industry verticals, including local and central government, media, not-for-profits, security, management consultancies, and the cloud and has successfully delivered software systems, starting from databases, data warehouses, business intelligence, distributed applications, and big data solutions for various customers.
Ian Robinson is a specialist solutions architect for data and analytics at AWS, where he works with customers throughout EMEA, helping them use AWS to create value from the connections in their data. Ian is a coauthor of Graph Databases and REST in Practice (both from O’Reilly) and a contributor to REST: From Research to Practice (Springer) and Service Design Patterns (Addison-Wesley).
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