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Spark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key capabilities is crucial whether it is on a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos.
The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases.
Once we understand the individual components, we will take a couple of real life advanced analytics examples such as ‘Building a Recommendation system', ‘Predicting customer churn' and so on.
The objective of these real life examples is to give the reader confidence of using Spark for real-world problems.
L'autore:
Asif Abbasi has worked in the industry for over 15 years, in a variety of roles starting from engineering solutions to selling solutions and everything in between. Asif is currently working with SAS a Market Leader in Analytic Solutions as a Principal Business Solutions Manager for the Global Technologies Practice.
Based out of London, Asif has vast experience in consulting for major organizations & industries across the globe, and running proof-of-concepts across various industries including but not limited to Telecommunications, Manufacturing, Retail, Finance, Services, Utilities and Government.
Asif has presented at various conferences and delivered workshops on topics such as Big Data, Hadoop, Teradata, and Analytics using Aster on Teradata and Hadoop. Asif is a Oracle Certified Java EE 5 Enterprise Architect, Teradata Certified Master, PMP, Hortonworks Hadoop Certified developer and Administrator. Asif also holds a Masters degree in Computer Science and Business Administration.
Titolo: Learning Apache Spark 2
Casa editrice: Packt Publishing
Data di pubblicazione: 2017
Legatura: PAP
Condizione: New