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Increased number of Internet users, popularity of social media, and ability to easily share unlimited information over these platforms has resulted in generation of large amounts of data on a daily basis, which is projected to augment demand for big data solutions over the coming years.
Extensive usage of cloud technology has also generated significant volume of information due to enhanced connectivity and technological developments, thereby providing the market a major boost.On the other hand, lack of skilled manpower, which is needed to leverage big data capabilities, may have a negative impact on market growth.
Nevertheless, the industry is emerging as a highly lucrative option for many end-use sectors as this technology allows companies to manage large data volumes in an effective manner, resulting in overall cost reduction.
The emergence of this technology has given opportunities to a number of businesses to monitor valuable information and convert it into a significant usable insights.
The storage segment is expected to witness significant growth as a result of rising demand for public and hybrid cloud solutions.
It is also used in brand reputation, predictive analysis, and relationship management.On the basis of region, developed regions such as North America and Europe have been major markets due to government focus on improving operational efficacy.
Big Data is more than just a huge volume of data, it is believed to be the right key to the business development.
Let’s see what the phenomenon of “Big Data” is and why nowadays it is becoming everybody’s concern.Within the last 20 years we have all been witness to a revolution in the field of information and communication.
This revolution affects each and every aspect of our modern life, starting from the private matters of the everyday routine and finishing with literally every business sector.
Information and data have become of essential importance in almost all spheres.The data collected may be used in different spheres, from retail to finance, from medicine to education, from science to security.This is an extract.
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Data science is a field of Big Data aimed at providing meaningful information based on large amounts of complex data.
Data science, or data-oriented science, combines different fields of work in statistics and computation to interpret data for decision making.
These data-driven decisions, in turn, lead to greater profitability and better operational efficiency, business performance and workflows.
Data Science helps to identify and refine the target audience in organizations aimed at the client.Identification and refinement of target audiences: Data collected from Google Analytics for customer surveys must be analyzed to identify demographic information.
A Data Science professional helps with the identification of key groups with precision, through a thorough analysis of different data sources.
Organizations can also adapt services and products to customer groups and help profit margins flourish.Better risk analysis: Predictive analysis, driven by Big Data and Data Science, allows users to digitize and analyze news reports and social media feeds to stay updated on the latest trends in the sector.
ETL is essential for data warehousing projects. In this ETL tools comparison, we will look at: Apache NiFi, Apache StreamSets, Apache Airflow, AWS Data Pipeline, AWS Glue.
Original published on freshcodeit.com
Original article Top 5 Enterprise ETL Tools published at freshcodeit.com.