Machine Learning with Python-A Revolution in the field of Data Analytics
Introduction
A data analysis technique that introduces automation in the development of an analytical model is termed as Machine Learning. Algorithms are employed by machine learning which draws insight from the data, so it provides computers with the capability of attaining ...
Hadoop Can’t Do These Things, Surprised To Know What They Are?
The world of Big Data is alluring. With the craze of digitalization and technology boom, Large volumes of data started blocking up the servers. Circumstantially, Hadoop came to the feat and initiated the processing of big data speedily. As Hadoop ...
Using Big Data to Laser Target Your Ideal Customers
There is perhaps no industry that has taken to big data like a fish to water as much as marketing. It seems that every marketing tool from social media scheduling to content management solutions to email automation is making use ...
Business Intelligence Benchmark for SQL-on-Hadoop Engines
AtScale, provider of BI (Business Intelligence) on Hadoop, has released its study titled "The Business Intelligence Benchmark for SQL-on-Hadoop engines," which is a performance test of BI workloads on Hadoop. The report also studies the strengths and weaknesses of Hive, ...
Top 10 Trends in Big Data
Big data is no longer just a buzzword. Researchers at Forrester have "found that, in 2016, almost 40 percent of firms are implementing and expanding big data technology adoption. Another 30 percent are planning to adopt big data in the ...
Top 10 Tips for Scaling Hadoop
Data locality is about making sure a big data set is stored near the compute that performs the analytics. For Hadoop, that means managing DataNodes that provide storage for MapReduce to perform adequately. It works effectively, but leads to the ...
Why is Hadoop the Best Platform for Data Management?
Data management including capturing , storing and analyzing data was very expensive and complicated prior to its management by Hadoop. With the entry of Hadoop in the industry, data management became to handy as well as less expensive.
Hadoop’s processing part ...
What Are the Skills You Need to Enter Data Science Market?
More and more companies have become reliant on data science and analytics. When journalists pay as much heed to data scientists as they do political pundits during election years, it’s clear that the data science industry has become a high-visibility, ...
3 Steps to Better Hadoop Management
It makes sense to get excited about the possibilities afforded by Apache™ Hadoop® YARN-based applications such as Spark, Storm, Presto and others to provide substantial business value. However, the actual tasks of managing and maintaining the environment should not get ...
3 Tips for Optimizing Big Data Analytics
Every year, the amount and type of data companies must manage increases. Commonly called Big Data, this information—everything from social media posts, audio and images to transaction records, sensor data and video—continues growing unabated. According to IDC, data is growing ...