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\n\tWhat will you learn?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n\n\t\t\n\t\t\t
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\n\tAre you a Developer responsible for managing Big Data transformations? Do you want to become a professional on the Google Cloud Platform? Embark on this comprehensive four-day journey packed with interactive presentations, real-world demonstrations, and practical hands-on labs that prepare you to design and build data processing systems on the Google Cloud Platform. Build complete pipelines, analyze data, and delve into machine learning concepts; this training equips you with real-world skills to succeed in the dynamic field of data engineering.<\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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\n\tKey takeaways<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n\n\t\t\n\t\t\t
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\n\tArchitecting robust data processing systems.\u00a0\u00a0<\/li> Building end-to-end pipelines.\u00a0\u00a0<\/li> Analyzing and interpreting complex datasets.\u00a0\u00a0<\/li> Carrying out powerful machine learning solutions.\u00a0\u00a0<\/li> Mastering Google Cloud Dataproc.\u00a0\u00a0\u00a0<\/li> Working with serverless data analysis.\u00a0\u00a0\u00a0<\/li><\/ol><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n\n\t\t\n\t\t\t
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\n\t\t\n\tOverview<\/h2>\t\t\n\t\t\n\t\t\t\n\t <\/svg><\/i>\t\t<\/span>\n\t<\/button>\n\n\t\n\t\t
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\n\tGoogle Cloud Dataproc Overview:<\/strong> Leverage Dataproc’s features for optimal cluster management and scaling.\u00a0\u00a0<\/li>Running Dataproc Jobs:<\/strong> Execute Pig, Hive, and more with seamless separation of storage and computing.\u00a0\u00a0<\/li>Integrating Dataproc with Google Cloud Platform:<\/strong> Customize clusters with initialization actions and integrate BigQuery seamlessly.\u00a0\u00a0<\/li>Making Sense of Unstructured Data with Google\u2019s Machine Learning APIs: <\/strong>Harness Google’s ML APIs to derive insights from unstructured data.\u00a0\u00a0<\/li>Serverless data analysis with BigQuery:<\/strong> Dive into BigQuery’s capabilities for robust data analysis.\u00a0\u00a0<\/li>Serverless, autoscaling data pipelines with Dataflow:<\/strong> Master Dataflow for scalable data pipelines and processing.\u00a0\u00a0<\/li>Getting started with Machine Learning:<\/strong> Gain foundational insights into machine learning.\u00a0\u00a0<\/li>Building ML models with Tensorflow:<\/strong> Create robust machine learning models using TensorFlow.\u00a0\u00a0<\/li>Scaling ML models with CloudML:<\/strong> Scale your machine learning models with Google Cloud ML.\u00a0\u00a0<\/li>Feature Engineering:<\/strong> Learn how to engineer features to enhance model performance.\u00a0\u00a0<\/li>Architecture of streaming analytics pipelines:<\/strong> Discover the architecture behind effective streaming analytics.\u00a0\u00a0<\/li>Ingesting Variable Volumes:<\/strong> Explore Cloud Pub\/Sub for managing variable data volumes.\u00a0\u00a0<\/li>Implementing streaming pipelines:<\/strong> Learn to handle late data and design effective pipelines.\u00a0\u00a0<\/li>Streaming analytics and dashboards:<\/strong> Transform streaming data into actionable insights and visualizations.\u00a0\u00a0<\/li>High throughput and low latency with Bigtable:<\/strong> Unlock the potential of Cloud Spanner and Bigtable for high-throughput data processing.<\/li><\/ul><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n\n\t\t\n\t\t\t
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\n\tWho is it for?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n\n\t\t\n\t\t\t
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\n\tThis training is ideal for experienced developers handling data transformations, pipeline design, machine learning models, and data analysis. Join if you’re eager to become a Professional Data Engineer on GCP. <\/p><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n
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\n\tRequirements<\/strong><\/p>\t\n\t\t\n\n
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\n\t <\/svg><\/i>\n\tPlease note that because this is an advanced course, participants must have completed the Google Cloud Fundamentals: Big Data & Machine Learning course or have proficiency with standard query language proficiency in SQL, data modeling, extracting, transforming, and loading activities, developing applications using a programming language like Python, and Machine Learning and\/or statistics.\u00a0\u00a0\u00a0<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n
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\n\tWhy should I do this training?<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n\n\t\t\n\t\t\t
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\n\tGain Expertise in GCP Data Engineering. Develop end-to-end data solutions on Google Cloud Platform<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n\n\t\n\n
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\n\tLearn from Industry Experts Led by Cloud gurus from Binx.io, a Google Cloud Authorized Training Partner\u00a0<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n\n\n\n\t\n\n
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\n\tPrep for Certification: Arm yourself for Google’s Professional Data Engineer exam<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n\n\t\t\n\t\t\t
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\n\tExam and Certification<\/h2><\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n \n\t\t\n\t\t\t