ProjectPro

APRIL 2, 2015

Big data and Retail Industry A survey conducted in June 2013 by Gartner predicts that the Big Data spending in Retail Analytics will cross the $232 billion mark by 2016. Thus, it is extremely important for retailers to employ sentiment analysis using Hadoop, for precise and accurate predictions as the customers are unforgiving.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

AUGUST 26, 2015

2005 - The tiny toy elephant Hadoop was developed by Doug Cutting and Mike Cafarella to handle the big data explosion from the web. Hadoop is an open source solution for storing and processing large unstructured data sets. 2013 -According to annual Digital Universe Study by EMV, 4.4x US alone will face a shortage of 1.5

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. Deep learning employs artificial neural networks to find patterns in large unstructured data sets without having to program specific functions manually. during 2014 - 2020.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? ” –said Walmart’s CEO of global e-commerce in 2013.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

AltexSoft

MAY 12, 2023

How much data was generated in a minute in 2013 and 2022. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. Hadoop, Apache Spark). The Hadoop ecosystem also has various tools and libraries to manage large datasets.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JUNE 6, 2015

Solocal was ranked among the top 10 global companies in 2013 based on it ROI, with close to $1.5 Solocal has taken big data to the next stage of BI by designing a novel vision of BI with the open source distributed computing framework Hadoop. It replaced its traditional BI structure by integrating big data and Hadoop."-April

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

Knowledge Hut

NOVEMBER 16, 2023

Three months later, on 15th February 2013, a full release of Redshift was made. In the APN Partner program of Amazon, it has listed a number of proprietors and tested their tools like Actuate Corporation, Qlik, Looker, Logi Analytics, IBM Cognos, InetSoft, Actian, etc. It is 10x faster than Hadoop. ’s older version.

IT 52

IT Bytes AWS Data Warehouse 52

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

Knowledge Hut

NOVEMBER 20, 2023

It also has a plugin architecture that supports many programming languages , such as Java or Python. The company was originally named OpsGenie but changed to PagerDuty in 2013. The stack is built on top of Apache Lucene and Apache Hadoop. Elastic Stack (ELK) Elastic stack is a set of products used for data analytics.

Amazon Web Services 52

Amazon Web Services Java Project Cloud 52