In the past few years, Big Data has emerged as a prospective game-changer for organizations of all sizes and across all industries. Possible – and actual – use cases include better customer targeting, improved employee hiring and benefits, better ad targeting, and reduced overall costs.
This growth in demand for Big Data has meant that a number of people now want to either get into or grow further in the data science industry. One of the most popular routes…Continue
Added by Yoey Thamas on February 19, 2020 at 2:19am — No Comments
Data scientist remains to be one of the best jobs in 2020.
According to McKinsey, the US will be facing a shortfall of 250,000 data scientists by 2024. Though the jobs market is in constant change, a data scientist job still hits the top list. With many organizations looking for professionals adept in data science skills, a data science career is an ideal choice.
Why learn data science in 2020?
Companies worldwide are generating data.…Continue
Added by Yoey Thamas on February 4, 2020 at 1:52am — No Comments
Hadoop is an open-source framework that stores and process big data in a distributed environment using simple programming models. It is designed to scale up from single servers to thousands of machines, while each offers local computation and storage. Hadoop divides a file into blocks and stores across a cluster of machines. It achieves fault tolerance by replicating the blocks on a cluster.
Hadoop can be used as a flexible and easy way for the distributed processing of large…Continue
Added by Yoey Thamas on November 20, 2019 at 1:00am — No Comments
Businesses generate data from different sources such as text files, multimedia forms, Internet of Things (IoT) devices, social media, and, mobile. Data is being used in various domains such as marketing, social media, healthcare, automation, sales, predictive analysis, etc.
However, the simple Business Intelligence (BI) tools cannot process the humongous data. The advanced analytical tools and algorithms for processing and analyzing can help to draw actionable insights out of…Continue
Added by Yoey Thamas on October 29, 2019 at 12:44am — No Comments
Value of adopting Data Science Skills
Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of work in statistics and computation to interpret data for decision-making.
Advances in the internet and social media is increasing access to big data. Extraction of meaningful information requires the use of AI and ML by data science. Big data is used in every…Continue
Added by Yoey Thamas on June 4, 2019 at 2:33am — No Comments
One month back Flutura was in a meeting with a customer in Houston where we were involved in an IOT big data project . It was a very tense meeting ... Budgets were being slashed, heads were rolling because of the steep drop in Oil prices. The CEOs office was forensically examining all projects thru a massive magnifying glass. The tension in the room was palpable. The cross functional team had spent a lot of time building a…Continue
Managing performance of enterprise applications and achieving high levels of Performance with minimum resources is topic of discussion in today’s large enterprises. Resolving performance issues is essential for database administrators (DBAs) when it happens however it is best to react to the problems proactively. Proactive management requires very high level of attention and to help make sense of the overwhelming data provided by the database engine.
In database management being…Continue
Added by Muhammad Saeed on April 21, 2014 at 3:43am — No Comments
The ‘Bell curve’ or the ‘Gaussian bell curve’ is one of the fundamental concepts on which most of the statistical analysis is based. From social sciences to astronomy to financial services- most of the application of statistics in the real world relies on the assumption that the data being analysed is distributed in the shape of the bell curve.
Added by Gaurav Vohra on January 3, 2013 at 8:30pm — No Comments