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Vaishakh.R


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Governed Data Lake for Customer Critical Data Analytics

Jul 25, 2019 7:31:21 AM / by Vaishakh.R posted in Big Data, Blog, Data Lake, AWS, Spark, HDFS, data governance, reporting, Datameer, HBase, Sqoop, Predictive Analytics

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Overview

Retail chains that have brick and mortar stores as well as online platforms often struggle in identifying the customers visiting their site. Even with all the information available at their disposal, the probability of identifying the customers accessing their website is a mere 30%.

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Data Warehouse Vs Data Lake

Jul 25, 2019 7:26:29 AM / by Vaishakh.R posted in Blog, Data Quality, Data Lake, Data Warehouse, Analytics, reporting, Cost, Scalability, Schema, Structured Data, Unstructured Data

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Data Generation, Analysis, and Usage - Current Scenario

Last decade has seen an exponential increase in the data being generated from across traditional as well as non-traditional data sources. International Data Corporation (IDC)report says that, data generated in the year 2020 alone will be a staggering 40 zettabytes which would constitute a 50-fold growth from 2010. The data generated per second has increased to 2.5 Quintillion bytes and with the advent of latest innovations like the Internet of Things; it is poised to grow even more rapidly. This increase in data generation coupled with growing ability to store various types of data that is being generated has ensued in a vast repository of data which is now available for scrutiny.

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Big Data Challenges and Solutions

Jul 25, 2019 6:43:49 AM / by Vaishakh.R posted in Big Data, Blog, Architecture, AllSight CIM, Big Data Analytics Hub, Big Data Challenges and Solutions, Data Analytics, Data Analytics Model, Eco System, Real time analytics

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Introduction

Big Data has empowered organizations to inspect substantial volumes of structured and unstructured data. Big Data augments decision making, by delivering data and conclusions from the projected valuable information. Organizations are presently in a situation to consolidate their data with the acquired large data sets such as geospatial data. Client sentiments can be observed and changes in client conclusions can be effectively distinguished through the scouring of online information.

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