Alfonso Llanes, studied at Florida International University
Transforming data into knowledge is the current trend of data driven decision making, machine learning; as a consequence, the Internet has become a giant data warehouse. Nonetheless, this data has to be collected and index from any source then combine as machine data from multi-site clustering and automatic load balancing scale to proprietor’s relational databases for understanding and use.
Open development platforms for customizing and meet specific requirements are available. For instance, the Splunk platform makes it easy to customize. Splunk Enterprise is available to meet the needs of any project. Developers can build custom Splunk applications or integrate Splunk data into other applications.
“IBM provides multiple data warehouse offerings so that clients can select the right workloads and platforms based on their requirements to deliver a high performance data foundation.”
In recent time businesses have been slow to implement big data analytics in supply chain management than in other areas of operation such as marketing, manufacturing or finance. However real time analytics of vast, rapidly growing and very messy unstructured data-sets were largely absent as data had been driven in the recent past, by statistics and quantifiable performance indicators.
Here are some schools that offer training in the field of big data analytics.
University of Arkansas
Weber State University
Stanford Data Mining and Applications Graduate Certificate
University of Delaware
Columbia University
Big Data Certificate
Certificate in Engineering Excellence Big Data Analytics and Optimization (CPEE)
Certification of Professional Achievement in Data Sciences
Certified Analytics Professional
Cloudera Certified Associate (CCA) Administrator
Cloudera Certified Associate (CCA) Data Analyst
Cloudera Certified Associate (CCA) Spark and Hadoop Developer
Cloudera Certified Professional (CCP): Data Engineer
EMC Proven Professional Data Scientist Associate (EMCDSA)
IBM Certified Data Architect – Big Data
IBM Certified Data Engineer – Big Data
Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics
Mining Massive Data Sets Graduate Certificate
MongoDB Certified DBA Associate
MongoDB Certified Developer Associate
Oracle Business Intelligence Foundation Suite 11 Certified Implementation Specialist
SAS Certified Big Data Professional
SAS Certified Data Scientist Using SAS 9
IBM Professional Certification Program
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