Big data is a data sets or combinations of data sets whose size (volume), complexity (variability), and rate of growth (velocity) make them difficult to be captured, managed, processed or analyzed by conventional technologies and tools, such as relational databases and desktop statistics or visualization packages, within the time necessary to make them useful.
Volume of data: Volume refers to amount of data. Volume of data stored in enterprise repositories have grown from megabytes and gigabytes to petabytes.
Variety of data: Different types of data and sources of data. Data variety exploded from structured and legacy data stored in enterprise repositories to unstructured, semi structured, audio, video, XML etc.
Velocity of data: Velocity refers to the speed of data processing. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value.
Big data solutions that have the capability to manage variability, velocity, variety and volumes of data are seen as the solution that can help in managing new age information. The ability to cost effectively store and process all these sources of data and develop insights is key, and this can be solved using big data platforms.
Big Data Insights:
Enable Reporting and Analytics capabilities over Big Data Platforms & Data Appliances
Direct & Indirect Analytics
Interactive Reports, Business Analytics, Performance Management
Forecasting, predictive analytics, scoring, pattern search, rule discovery
BI & Analytical Tools
Hadoop Job Roles
• We Focus on more generic and open source solutions
• Programs are taught by Data experts
• Vast experience in Application and Data Management industry
• Program tailored to participants needs
• Arrange Job Interviews
• Trained Many Candidates
What is Big Data
Apache YARN , HDFS, MapReduce Hadoop
Writing Apache PIG Programs
Working on Hive programs - HiveQL
Working on Structured and Unstructured Data
Working on data management framework for Hadoop
Bulk data transfer between HDFS and structured datastores
Working on Data Streaming
Working with Spark and Hadoop Distributed File System
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Data analysis, and visualizations.
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Monitoring and Troubleshooting