PPT-“Big Data” - Technical Architecture

Author : cheryl-pisano | Published Date : 2017-09-17

Roni Schuling Enterprise Architecture Tom Scroggins IS Domain Architecture Principal Financial Group Big Data Technical Architecture Foundational Definitions

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“Big Data” - Technical Architecture: Transcript


Roni Schuling Enterprise Architecture Tom Scroggins IS Domain Architecture Principal Financial Group Big Data Technical Architecture Foundational Definitions amp w here these technologies came from. x and 5x and Apache Spark x Oracle Enterprise Manager combined with Cloudera Manage r simplifies management of the entire Big Data Appliance x Advanced analytics with Oracle R directly interacting with data stored in HDFS x Handle low latency unstru By: Harrison Reid. Outline. What is a Data Warehouse Architecture. Five Main Data Warehouse Architectures. Factors That Affect Choosing A Data Warehouse Architecture. Summary. Bibliography. What is a Data Warehouse Architecture. Distraction?. Mark Birkin. Professor of Spatial Analysis and Policy,. School of Geography, University of Leeds. Director, ESRC Consumer Data Research Centre. Director, Leeds Institute for Data Analytics. Sixth International Workshop on Cloud Data . Management. CloudDB. 2014. Chicago March 31 2014. Geoffrey . Fox . gcf@indiana.edu. . . http://www.infomall.org. School of Informatics and Computing. Big Data PWG Overview Presentation. September . 30. , . 2013. Wo Chang, NIST . Robert Marcus, ET-Strategies. Chaitanya Baru, UC San Diego. Agenda. Why Big Data? Why NIST?. NBD-PWG Charter. Overall Workplan. Based on September 30, 2013 Presentations . at one day workshop at NIST. Leaders of activity. Wo Chang, NIST (Should present but shut down). Robert Marcus, ET-Strategies. Chaitanya Baru, UC San Diego. e-COMMA | Data Specialist | TM 02: Technical Basics. 1. Data Specialist|BM 02: Technical Basics. Training Contents. Data Specialist: Introduction:. 1.1 Role Description. 1.2 Main Tasks. 1.3 AARRR. 2. Data in e-Commerce. A Bushido Approach. June 2018. EQE Team. What We . A. re . G. oing . T. o Do . T. oday, See . A. nother PPT?. Architecture what is it?. How do we see it at Wells Fargo?. Laws and pillars. Examples and exercises. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. kindly visit us at www.examsdump.com. Prepare your certification exams with real time Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers,our preparation materials contribute to industryshighest-99.6% pass rate among our customers. Leon Martin, M.Sc.. Prof. Dr. Andreas Henrich. University . of. Bamberg. Media . Informatics. https://www.uni-bamberg.de/minf/. Motivation. From Data Warehouses to Data Lakes. First Thoughts on an Architecture . Goals: . Show design for CDM using ‘big data’ tools that are Apache open source as alternative to Oracle or Postgres. Show ingestion paths or approaches for various data types and data sources. Map current (Nov 2016) most commonly used tools fit for various business purposes based on market share but not exclusive to Cloudera. H2K Infosys offers an online course on Hadoop and big data that equips learners with the skills and knowledge necessary to excel in this dynamic field.

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