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Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

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These Lovely Skills You Need to Enter as Data Architect

We can analyze data quickly now. The data can be any size. The basic skills you need are R language skills and Machine learning for analyzing the data.

MapReduce Techniques

The MapReduce techniques and parallel processing in Hadoop allow us to cheaply and efficiently implement MapReduce on Internet scale problems. We use SQL like tools Pig and Hive.

NoSQL

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

  1. Data architects develop, analyze and administer data for businesses, schools and other organizations.
  2. 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.
  3. 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*
  4. Degree in Engineering/Computer Science is desirable. Read more.

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