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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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Can Big Data replace an EDW?

Jul 23, 2019 10:02:06 AM / by Anand.K posted in Big Data, Blog, Cassandra, Data Lake, Data Staging, ELT, Enterprise Data Warehouse, ETL, Hadoop, Hive, Hybrid model, NoSQL, OLTP, RDBMS, Data Archiving, Data Cluster

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Overview

Data Warehousing has been the buzzword for the past two or three decades and big data is the new trend in technology. A question that often arises in our mind is, “Are they similar and will Big Data replace a Data Warehouse”, the reason being, both have similarities like holding data, used for reporting purposes and managed by electronic storage devices.  There is an underlying difference between the two, namely; Big Data Solution is a technology whereas Data Warehousing is an architectural concept in data computing.

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