Later companies like MapR and Hortonworks also followed the suit in the years 20 respectively. In 2008, Cloudera introduced commercial support for enterprises, which was a major step in the history of data analysis tools for research. This platform was first used by major Internet giants like Yahoo and Facebook and in turn, led to the revolution and major big data revolution.
A prime example is Apache Hadoop, which is an open source data platform processing platform that has been around for more than nine years. This increasing need for enhanced and improved data analytics has inspired data manufacturers to create data analytic tools that have sophisticated architecture systems with better levels of memory and processing power.Ĭompanies, as well as manufactures, are warming up to open source licensing model which though not new are gaining immense popularity and acceptance. Nonutilization of data insights can harm the growth story of the company and that is why data analytics manufactures are now feeling the pressure of manufacturing data analytic tools and products to help companies to achieve the goal of growth and development. While initially data analysis was limited to only big companies and brands, today almost all types of companies, even the smallest ones need to focus on using data in a proper manner. In addition, as different types of companies have different types of data analysis tools, the data analytic tools that companies use to infer data is also important. This data is useless if companies cannot gain important insights from them.
Every business today deals with the unlimited amount of data that they need to make sense of on a regular basis. These two terms aptly describe how data analytics is changing the world of companies and brands around the globe. Introduction to Data Analysis Tools For Researchĭata Analysis Tools For Research – Revolutionary and game-changing data analysis tools examples.
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