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These lovely Skills you need to enter as Data Architect

These lovely Skills you need to enter as Data Architect
#These lovely Skills you need to enter as Data Architect:
Today, we have the ability to reliably and cheaply store huge volumes of data, efficiently analyze them, and extract business and socially relevant information. This course brings together several key information technologies used in manipulating, storing, and analyzing big data. We look at the basic tools for statistical analysis, R, and key methods used in machine learning. 

We review MapReduce techniques for parallel processing and Hadoop, an open source framework that allow us to cheaply and efficiently implement MapReduce on Internet scale problems. We touch on related tools that provide SQL-like access to unstructured data: Pig and Hive. 

We analyze so-called NoSQL storage solutions exemplified by HBase for their critical features: speed of reads and writes, data consistency, and ability to scale to extreme volumes. 

Data Architect Requirements: 
  • Data architects develop, analyze and administer data for businesses, schools and other organizations. 
  • They need sophisticated design and development skills to collect data and translate it for use in computer applications and systems. Most data architects have a bachelor's degree in information technology (IT), as well as years of experience in the IT field. 
  • Experience with programs such as Microsoft Excel, Access, SQL, Business Objects software, XML, SOA, ETL, BI, ERP and Agile; computer programming and data modeling skills*
  • Degree in Engineering/Computer Science is desirable. Read more.

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