Data science is a multi-discipline endeavor that helps draw valuable insights from different sources of data. While most data scientists exhibit an extensive mastery of the tools and languages required in this field, some fail to grasp beyond the basics. It explains why even the most knowledgeable of the data scientists strives to level up the skills. When it comes to executing analysis, there are dozens of tools that scientists can use which include:
Today, the big data market is showing a vibrant momentum as many companies transform into data-driven entities. Massive data growth is a key driver of the big data related technologies, infrastructure, and services. The Big Data Maturity Model applies a “hierarchy of needs” to global businesses’ aspirations to develop technology platforms as well as business processes.
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