Big Data
“Big data” is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Much more information about casino uk review. Big data sets need to be processed using distributed computing technologies such as Hadoop.
Let’s Digitran BIG DATA helps your organization take advantage of many of the best technology and use and enhance. Our expertise in Hadoop-based platforms, MPP databases, cloud storage systems, and other emerging technologies will help your enterprise get its feet wet with Big Data if you are just embarking on Big Data’s big return or have some infrastructure in place but need some help. We have expertise to help you, including:
Predictive modeling is a process in which a variety of input data such as historical, survey, web, or transactional data is put through a variety of statistical and data mining techniques to make predictions about future events. Predictive modeling can be used to identify and quantify both risk and opportunity. Predictive modeling can be used to optimize marketing campaigns by finding customers that are likely to purchase a product, click on an ad, cross-selling or customer retention purposes.
Data mining is the application of statistical methods to extract implicit, previously unknown, and potentially useful information from data. Advances in computing technology and the ability to create, store, and access increasingly larger volumes of data have created new opportunities for companies to implement predictive strategies. Such methods can be applied to a diverse set of real world problems within most industries. The primary objective of the research may be the prediction of future events or advancement of learning.
Apache Hadoop is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.
Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR securely and reliably handles your big data use cases, including log analysis, web indexing, data warehousing, machine learning, financial analysis, and scientific simulation.
Big Data Architects to design your system
Installation and Configuration of Cloudera, Hortonworks, and other Hadoop distributions
Data processing using Hive, Sqoop, Pig, and Spark
Development using Java, Python, and Scala
Integration with Amazon Web Services (AWS) and Microsoft Azure environments
NoSQL processing with MongoDB, HBase, and others
Relational analysis with Redshift, Vertica, Teradata and others
Analytics with Spark, R, Python, and others
Visualization and analysis with Datameer, Alpine Data Labs, Tableau, and others