I am Director of Analytics @Deloitte. Author of Next Generation Big Data. Thought leader, lecturer and speaker. I lead technology innovation, development and strategy. My interests include artificial intelligence, big data, advanced analytics, machine learning, deep learning, bioinformatics, robotics, computer vision, distributed systems, parallel computing, database systems, security and cryptography, internet of things, smart city, operating system and compiler design and implementation, six sigma.
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Discussing modern analytic data platforms, data governance, master data management, metadata management, data security, data quality, business intelligence and advanced analytic use cases.
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Deep dive into operationalizing machine learning models in production. The two-day working session also covered data integration, complex event processing, big data architecture and advanced analytic use cases.
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Deloitte Big Data Training (Melbourne, Australia). Teaching real-time complex event processing and analytics with Spark Streaming, StreamSets, Zoomdata and Apache Kudu. Big data warehousing and dimensional modeling with Apache Kudu and Apache Impala. . Lecture and hands-on workshop.
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Discussing modern big data architecture and best practices. Additional topics included machine learning, deploying big data in the cloud, data governance Apache Spark and Apache Kudu.
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I wrote a book, Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala and Spark (Apress)
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Cloudera event session about data science and big data use cases. Topics included EDW modernization, machine learning, artificial intelligence and regulatory compliance.
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Teaching Functional Programming, Scala and Apache Spark at Deloitte Big Data Training (Melbourne, Australia). Lecture and hands-on workshop.
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Speaking at SAS event on machine learning, advanced analytics, Apache Spark and the future of data science and big data.
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At the Auckland Apache Spark meet up discussing Spark ML, machine learning and big data.
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Teaching Big Data with Cloudera Enterprise at Deloitte Big Data Training (Melbourne, Australia). Topics included batch and real-time data processing using HDFS, HBase, Hive, Impala, Solr, Kudu, Sqoop, Flume and Kafka.
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