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Jean Matencio



Paris 01, Île-de-France, France

Ranked #1,073 out of 21,460 for RESPONSABLE DATA ET PRODUCTION in United States

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Jean Matencio's Email Addresses & Phone Numbers

Jean Matencio's Work Experience

PCG Performance Consumer Group


September 2014 to Present

Paris Area, France

National Agency Of Vocational Training For Adults (Paris-ILe De France)

Java, JEE Trainer

June 2014 to Present

ILe De France

Cloudera Webinar


April 2014 to April 2014

Weblinar Date/Time: April 2, 2014 | 10AM PT / 1PM ET

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About Jean Matencio's Current Company

PCG Performance Consumer Group

ETL management AWS EC2 Infrastructure management / SLA SYSTEME INTEGRATION AND DEVELOPMENT

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Jean Matencio works for PCG Performance Consumer Group

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Jean Matencio's personal email address is j****[email protected]

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About Jean Matencio

📖 Summary

Main responsabilitiy RESPONSABLE DATA ET PRODUCTION Datamart management ETL management Infrastructure management / SLA Functional coverage : Manage datas to create user segment Manage data to create Reports to business Manage end to end data flows from solution to integration supporting Advanced Analytics requirements Developments : DATA model improvement Infrastructure performances « Big data » solution Intergration BIG DATA, ANALYTICS & BUSINESS INTELLIGENCE CLOUDERA HADOOP CERTIFIE PROFESSIONNEL INGENIEUR ETUDE & DEVELOPPEMENT JAVA, JEE, SPRING, HIBERNATE, REST, JQUERY,ANGULAR.JS, ANDROID, JQUERY MOBILE ARCHITECTE TECHNIQUE/APPLICATIVE SECTEUR MEDIA MARKETING ANGLAIS COURANTRESPONSABLE DATA ET PRODUCTION @ ETL management AWS EC2 Infrastructure management / SLA SYSTEME INTEGRATION AND DEVELOPMENT From September 2014 to Present (1 year 1 month) Paris Area, FranceJava, JEE Trainer @ From June 2014 to Present (1 year 4 months) ILe De FranceBUILDING A HADOOP DATA WAREHOUSE @ Building a Hadoop Data Warehouse: Hadoop 101 for EDW Professionals Dr. Ralph Kimball describes how Apache Hadoop complements and integrates effectively with the existing enterprise data warehouse. The Hadoop environment's revolutionary architectural advantages open the door to more data and more kinds of data than are possible to analyze with conventional RDBMSs, and additionally offer a whole series of new forms of integrated analysis. Dr. Kimball explains how Hadoop can be both: •A destination data warehouse, and also •An efficient staging and ETL source for an existing data warehouse You will also learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses. From April 2014 to April 2014 (1 month) Weblinar Date/Time: April 2, 2014 | 10AM PT / 1PM ETBUILDING A HADOOP DATA WAREHOUSE WITH IMPALA @ Impala raises the bar for SQL query performance on Apache Hadoop. With Impala, you can query Hadoop data ? including SELECT, JOIN, and aggregate functions ? in real time to do BI-style analysis. As a result, Impala makes a Hadoop-based enterprise data hub function like an enterprise data warehouse for native Big Data. In this webinar featuring Impala architect Marcel Kornacker, you will explore: How Impala’s architecture supports query speed over Hadoop data that not only convincingly exceeds that of Hive, but also that of a proprietary analytic DBMS over its own native columnar format. The current state of, and roadmap for, Impala’s analytic SQL functionality. An example configuration and benchmark suite that demonstrate how Impala offers a high level of performance, functionality, and ability to handle a multi-user workload, while retaining Hadoop?s traditional strengths of flexibility and ease of scaling. From April 2014 to April 2014 (1 month) BREAK THE BARRIERS TO BIG DATA INSIGHT @ Syncsort, Tableau, & Cloudera present: Break the Barriers to Big Data Insight Rethink data management and learn how to break down barriers to Big Data insight with Cloudera's enterprise data hub (EDH), Syncsort offload solutions, and Tableau Software visualization and analytics. Demand for quicker access to multiple integrated sources of data continues to rise. Immediate access to data stored in a variety of systems - such as mainframes, data warehouses, and data marts - to mine visually for business intelligence is the competitive differentiation enterprises need to win in today’s economy. From March 2014 to March 2014 (1 month) Cloudera Partner Solutions WebinarsFROM HADOOP TO THE ENTERPRISE DATA HUB: A NEW FOUNDATION FOR MODERN INFORMATION ARCHITECTURE @ Analyst firm Ovum shares how Hadoop has evolved from its niche origins at large Internet firms into a core component of modern information architecture; you can mainstream Big Data and Hadoop through an “embrace and extend” strategy that maps the platform to your IT organization, the practices for running the data center, and to your core business requirements; you can deploy Hadoop as the foundation of an enterprise data hub to efficiently and securely store, process, analyze, and serve all your data, while complementing existing systems, practices, and skills. From January 2014 to January 2014 (1 month) INTRODUCTION TO YARN AND MAPREDUCE 2 @ At their core, YARN and MapReduce 2’s improvements separate cluster resource management capabilities from MapReduce-specific logic. YARN enables Hadoop to share resources dynamically between multiple parallel processing frameworks such as Cloudera Impala, allows more sensible and finer-grained resource configuration for better cluster utilization, and scales Hadoop to accommodate more and larger jobs. From December 2013 to December 2013 (1 month) Cloudera WebinarPIVOTAL HD AND SPRING FOR APACHE HADOOP @ Speakers: Adam Shook, Dr. Mark Pollack In this session, Adam Shook will review Apache Hadoop basics and general concepts, covering HDFS, MapReduce, Pig, Hive, HBase, and other open source components. Then we will introduce Pivotal HD, our Hadoop distribution, and the role it has with enterprise Hadoop users. And finally, Mark Pollack will cover Spring for Apache Hadoop, bundled with Pivotal HD, which provides support for developing applications based on Apache Hadoop technologies. Spring for Apache Hadoop offers a simple POJO programming model for Pig, Hive and HDFS and can also integrate Spring projects like Data, Batch and Integration. From April 2013 to April 2013 (1 month) Pivotal WebminarHADOOP DEVELOPER CERTIFICATION @ From April 2012 to April 2012 (1 month) Jean Matencio is skilled in: Java Enterprise Edition, Hadoop, Data Warehousing, ETL, Big Data

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Jean Matencio's Personality Type

Extraversion (E), Intuition (N), Feeling (F), Judging (J)

Average Tenure

0 year(s), 4 month(s)

Jean Matencio's Willingness to Change Jobs



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