ºÝºÝߣshows by User: mcalmmis / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: mcalmmis / Sat, 14 Jun 2014 08:37:26 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: mcalmmis MCAL - IIBA Endorsed Business Analysis Training Brochure 2014 /slideshow/mcal-iiba-endorsed-business-analysis-training-brochure-2014/35867515 babrochure2014-140614083726-phpapp02
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Sat, 14 Jun 2014 08:37:26 GMT /slideshow/mcal-iiba-endorsed-business-analysis-training-brochure-2014/35867515 mcalmmis@slideshare.net(mcalmmis) MCAL - IIBA Endorsed Business Analysis Training Brochure 2014 mcalmmis <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/babrochure2014-140614083726-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
MCAL - IIBA Endorsed Business Analysis Training Brochure 2014 from MCAL Management Consulting and Advanced Learning
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Big data by_mcal /slideshow/big-data-bymcal/28599087 bigdatabymcal-131125071514-phpapp02
Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a "hands-on" approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java. ]]>

Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a "hands-on" approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java. ]]>
Mon, 25 Nov 2013 07:15:14 GMT /slideshow/big-data-bymcal/28599087 mcalmmis@slideshare.net(mcalmmis) Big data by_mcal mcalmmis Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a "hands-on" approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatabymcal-131125071514-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a &quot;hands-on&quot; approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java.
Big data by_mcal from MCAL Management Consulting and Advanced Learning
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Big data and Hadoop Training Brochure /slideshow/bigdata-brochure-28591697/28591697 bigdatabrochure2-131125024326-phpapp01
Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a "hands-on" approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java. ]]>

Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a "hands-on" approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java. ]]>
Mon, 25 Nov 2013 02:43:26 GMT /slideshow/bigdata-brochure-28591697/28591697 mcalmmis@slideshare.net(mcalmmis) Big data and Hadoop Training Brochure mcalmmis Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a "hands-on" approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatabrochure2-131125024326-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered. About the Faculty: He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for. Big Data Analytics – Why? Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement About this course This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course you will be able to …  Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics  Know what ‘Big Data’, Map Reduce and Hadoop are all about  Get a grip on the structure of Big Data applications  Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig  Choose the most appropriate tools to solve Big Data problems  Identify, propose and lead Big Data projects in your organizations Course Content -  What is Big Data?  Overview of Big Data tools and techniques  In-depth coverage of Map-reduce techniques to manage Big Data  Hadoop - In Depth  HDFS – In Depth  Installing and managing Hadoop – Hands-on  Introduction to Hadoop Clusters  Hands-on session using native installation and Amazon EMR implementation of Hadoop  The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume  Analytics: Descriptive, Predictive and Prescriptive  What is Big Data Analytics  Introducing Analytics in the enterprise: Case Studies  Trends in Big Data Analytics The course takes a &quot;hands-on&quot; approach to ensure that the basics are understood very well and assimilated concepts are applied in practice. Essential pre-requisite for practitioner course: Java programming language. Note: Basic Java Module for participants those who are new to Java.
Big data and Hadoop Training Brochure from MCAL Management Consulting and Advanced Learning
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MCAL Corporate Introduction /mcalmmis/mcal-corporate-brochure-22027819 mcalcorporatebrochure-130527203021-phpapp02
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Mon, 27 May 2013 20:30:21 GMT /mcalmmis/mcal-corporate-brochure-22027819 mcalmmis@slideshare.net(mcalmmis) MCAL Corporate Introduction mcalmmis <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mcalcorporatebrochure-130527203021-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
MCAL Corporate Introduction from MCAL Management Consulting and Advanced Learning
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https://cdn.slidesharecdn.com/profile-photo-mcalmmis-48x48.jpg?cb=1522925642 MCAL™ (Management Consulting and an is the leading high-end Training and Consulting Company in South Asia having expertise in the areas like Business Analysis, Management Consulting, Project Management, Big Data, Leadership, Change Management, Sales, Finance, Cloud Computing, Six Sigma, Android, Data Analytics and IT Service Management / ITIL® framework. We are training professionals from most of the fortune 500 companies present in India. In the last 5 years, we trained more than 5000 professionals and contributed to achieve accelerated growth in many organizations. www.mcal.in/ https://cdn.slidesharecdn.com/ss_thumbnails/babrochure2014-140614083726-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mcal-iiba-endorsed-business-analysis-training-brochure-2014/35867515 MCAL - IIBA Endorsed B... https://cdn.slidesharecdn.com/ss_thumbnails/bigdatabymcal-131125071514-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/big-data-bymcal/28599087 Big data by_mcal https://cdn.slidesharecdn.com/ss_thumbnails/bigdatabrochure2-131125024326-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/bigdata-brochure-28591697/28591697 Big data and Hadoop Tr...