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BigQuery in a nutshell

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Background With digital data increasing day by day, there is need to store and retrieve huge amount of data with lighting fast speed. Google cloud BigQuery is the differentiator here with no match in the current market with respect to performance.  BigQuery was initially developed for Google in house use for analytics (Dremel). A fast, highly scalable, cost-effective and fully managed cloud data warehouse for analytics. It is a Petabyte scale EDWH. Initial setup is very fast, no need to provision any infrastructure. Scale seamlessly, no need to plan for capacity in terms of Processing or Storage Protect your business data and investments - Provides automatic data replication for disaster recovery and high availability of processing. Offers 99.9% availability BigQuery ML- There are ready to use models available for ML. Architecture Foundation of BigQuery Borg - Google’s large-scale cluster management system. Brog cluster consist of thousands of machines ...

GCP PROFESSIONAL DATA ENGINEER EXAM OUTLINES

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Dear All, If you are planning to complete GOOGLE CLOUD PLATFORM Data Engineer exam and if you have below question then you are at right place. What is Data Engineer certificate and what Data Engineers do? Difference between Architect and Data Engineer exam? How much time is required for preparation? What are the services covered? What is the weightage of each service? How to prepare for the exam? What is the pattern of the exam? Sample questions? Hello friends, I am Bharat Mishra GOOGLE CLOUD PLATFORM Certified Professional Data Engineer. I completed my certification in 2 week time. I have around 18 years of experience in IT. I am associated to data and data management throughout my career. Since year 2004 I am working on DWH platform. I started working on Big data services on GOOGLE CLOUD PLATFORM since 2015. I have earned many technical and management certification including “ DWH certified professional ”, “ Project Management Professional – PMP ”, “ Scrum Master ”...