“Big data” is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Big data sets need to be processed using distributed computing technologies such as Hadoop.
Let’s SATCON’s 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:
1. PREDICTIVE MODELING : 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.
2. DATA MINING : 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.
3. HADOOP : 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.
4. Amazon Web Services: 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