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As plans to redevelop Dharavi, one of Asia's largest slum clusters, emerge, innovators and technologists, see an unprecedented opportunity to go beyond simple infrastructure development and create a technology-centric environment that can boost and fortify the socio-economic status of the region.
While India is ready for the vast investments and the opportunities for development that come along with it, how can the country leverage its current digital vision to deliver accelerated development plans for its underprivileged communities?
Get the full scoop in our blog: https://bit.ly/3j3iPEM
#dharavi #adanigroup #dharaviredevelopment #digitalecosystem #digitaltransformation #infrastructure #technology
1671026810
As plans to redevelop Dharavi, one of Asia's largest slum clusters, emerge, innovators and technologists, see an unprecedented opportunity to go beyond simple infrastructure development and create a technology-centric environment that can boost and fortify the socio-economic status of the region.
While India is ready for the vast investments and the opportunities for development that come along with it, how can the country leverage its current digital vision to deliver accelerated development plans for its underprivileged communities?
Get the full scoop in our blog: https://bit.ly/3j3iPEM
#dharavi #adanigroup #dharaviredevelopment #digitalecosystem #digitaltransformation #infrastructure #technology
1624964220
Do you know the skills and steps required to successfully transition to a Big Data career?
If you’re someone who doesn’t belong to the Big Data Industry yet but has a background which may have links to it – you may be thinking about a lucrative and long-term Big Data career.
If you’re aspiring to be a Big Data Engineer or a Team Lead/Tech Lead or even a Project Manager/Architect, there are some key technical skills required by employers in the Big Data Ecosystem. These skills vary for different Big Data Roles.
In this article, we will discuss the technical skills required by employers for different Big Data profiles. We’ll also discuss organisational expectations from different hierarchical levels and steps to make a successful Big Data career transition.
Table of Contents
#big data #career transition #technical skills #big data career #planning #planning a big data career
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The project management landscape has drastically changed over the last decade. Emphasis on efficiency and reporting while juggling between several projects simultaneously amid uncertainties is responsible for the change.
These drastic changes often contribute to projects falling through the cracks, mainly due to poor project performance. Lack of proper resource scheduling and planning tools disrupts project performance. According to Gartner, poor project performance has resulted in approximately $50-$150 billion in revenue loss and productivity.
Resources plug into every phase of your project, be it planning, scheduling, and executing. In a shocking revelation by HBR, 1 out of 6 IT projects incurs a schedule overrun by 70%. A logical system that lets you identify and deploy resources exactly when you need ensures project success. This is where resource scheduling can help. First off,
Resource scheduling is the process of identifying and allocating resources. It is a crucial element of project planning with specified start and end dates for each task in a project. In short, it sets the stage for the intelligent distribution of resources to project tasks.
However, common scheduling errors jeopardize the project plan and ultimately cause project delays.
Let us look at some of the common scheduling blunders and how to mitigate them.
#capacity planning #resource allocation #resource analysis #resource planning #capacity based planning #data analysis
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