Load balancing

Load balancing is a tool which distributes the amount of workload between two or more computers over a computer network so that work gets completed in small time as all users desire to be served faster. It is the main reason for computer server clustering and it can be applied with software or hardware or with the combination of both.

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More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025.
Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.
Nearly 50 percent of businesses say big data and analytics have fundamentally changed business practices in their sales and marketing departments.
In the banking sector, investments in big data analytics were estimated at $20.8 billion in 2016.
60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles
By 2020, there will be 2.7 million job postings for data science and analytics roles.
In 2025, the IoT data analyzed and used to change business processes will be as much as all of the data created in 2020.
Through 2019, 90% of large organizations will have hired a CDO, but only 50% will be considered a success.
21 percent of investment professionals use web traffic to derive data.
Insights-driven businesses are growing at an average of more than 30% each year, and by 2021, they are predicted to take $1.8 trillion annually from their less-informed peers.

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