Big Data Analytics Training in India - Xebia Training

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Training
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Big Data Analytics Training
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Big Data

• A term applied to data sets whose size or type is
  beyond the ability of traditional relational
  databases to capture, manage, and process the
  data with low-latency.
• Following are the characteristics
• High volume
• High velocity
• High variety
• Big data comes from sensors, devices,
  video/audio, networks, log files, transactional
  applications, web, and social media
• Much of it generated in real time and in a very
  large scale.

http//training.xebia.in/big-data/
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Professional Development is a Continuous Learning
Process

• Cloudera Data Analyst
• Cloudera Data Scientist
• Cloudera Training for Apache Hbase
• Cloudera Developer for Apache Spark
• Cloudera Developer for Apache Hadoop
• Developer Training for Spark and Hadoop
• Cloudera Administrator Training for Apache Hadoop

http//training.xebia.in/big-data/cloudera-data-a
nalyst-training
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Big Data Analytics

• It is the use of advanced analytic techniques
  against very large, diverse data sets.
• It allows analysts, researchers, and business
  users to make better and faster decisions using
  data that was previously inaccessible or
  unusable.
• Using advanced analytics tools like
• Predictive analytics
• Data mining
• Statistics
• Natural language processing
• Businesses can analyze previously untapped data
  sources independent or together with their
  existing enterprise data to gain new insights
  resulting faster decisions.

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Big Data Analytics

• It is the use of advanced analytic techniques
  against very large, diverse data sets.
• It allows analysts, researchers, and business
  users to make better and faster decisions using
  data that was previously inaccessible or
  unusable.
• Using advanced analytics tools like
• Predictive analytics
• Data mining
• Statistics
• Natural language processing
• Businesses can analyze previously untapped data
  sources independent or together with their
  existing enterprise data to gain new insights
  resulting faster decisions.

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Organizational Use of Big Data

• To process and analyze a vast array of
  information in new ways.
• To compete in a globally-integrated economy.
• Many organizations consider information to be
  their most valuable and differentiated asset.
• To improve decision-making and performance
  throughout the enterprise.
• To utilize new data, technology and analysis
  techniques that exist in almost every industry.

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Big Analytics Appliance

• Big Analytics Appliance will make your big data
  problems manageable.
• This Appliance helps executives, business
  managers, IT managers and analysts leverage
  breakthrough business insights to
• Take better business decisions resulting in
  better business results.
• Optimize innovate across business processes
  with data driven decisions.
• Minimize risk, maximize ROI and accelerate time
  to value
• with enterprise ready big data solutions.

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Enterprise Data Warehouse

• A service offered by the Data Services Department
  of the Information Services and Technology
  Division.
• Enterprise Data Warehouse consolidates data from
  multiple sources in support of campus wide
  decision making.
• It is to provide information that is secure,
  accurate, timely, consistent, integrated,
  appropriately detailed, well-organized, and easy
  to obtain.

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