ProjectPro

MARCH 10, 2016

As of May 6, 2013 –LinkedIn has a team of 407 Hadoop skilled employees. Decomposer - Contains large matrix decomposition algorithms implemented in Java. There are 5 test algorithms continually running - producing approximately 700 GB of output data for the ‘People You May Know’ feature.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

APRIL 17, 2015

Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Deep Learning is a machine learning technique based on artificial neural networks. For instance, there was a deep learning algorithm which identified from the data in Wikipedia - that Texas and California are popular states in US.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

JUNE 9, 2015

There will be more data, more algorithms, more applications, and more new technologies. However, the outsourcing industry in India saw a significant increase of 20% growth. IBM Corporation has a big data team of close to 5000 professionals crunching the data to help fuel companies - find, extract and process fuel efficiently.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

APRIL 27, 2015

These big data solutions would help in recording the unstructured data generated from the video streams for executing pattern matching algorithms-to find out any happenings depending on various pre-defined set of parameters. billion hours of listening time in 2013 and is revolutionizing the manner in which people listen to music.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

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. Placing the two products together merely eliminates the choice of the customer and subtly influences the purchase behavior.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

NOVEMBER 6, 2015

Cloudera Impala was announced on the world stage in October 2012 and after a successful beta run, was made available to the general public in May 2013. Since Impala is not built over the MapReduce algorithms, the latency is reduced allowing Impala to run faster than Hive. However, that is not the case with Impala.

Hadoop 52

Hadoop SQL Java Metadata 52

ProjectPro

MAY 23, 2015

” –said Walmart’s CEO of global e-commerce in 2013. The predictive analytics platform of Inkiru incorporates machine learning technologies to automatically enhance the accuracy of algorithms and can integrate with diverse external and internal data sources. We want to know who every person in the world is.

Big Data 52

Big Data Data Analysis Hadoop Retail 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

ProjectPro

JANUARY 22, 2016

With the growth of online food delivery industry, the investments in the food delivery business have increased exponentially - from 25 million dollars in 2012; 46 million dollars in 2013; 600 million dollars in 2014 and it was expected to touch 1 billion dollars by end of 2015. GrubHub’s revenue increased to $253.9 million from $170.1

Food 40

Food Big Data Data Analytics Data Analysis 40

ProjectPro

MAY 15, 2015

The strenuous big data analytics algorithms will easily catch every outlier in data. In 2013, the official Twitter account of Associate Press was hacked. Companies like Walmart , Box and Credit Suisse are using analytic algorithms on various data points to find out who is likely to leave a job. Image Credit: nesta.org.uk

Insurance 40

Insurance Media Big Data Hadoop 40

AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59