Smart Data Collective

JULY 25, 2019

In the early stages of basketball, there was very little use for data and analytics. Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport.

Analytics 96

Analytics Analytics Data Science Data Analyst 96

Dataconomy

JUNE 7, 2016

Reza Sadri is the CEO of Levyx, the creators of high-performance processing technology for big-data applications. Prior to Levyx, Sadri was the CTO for software at sTec, which was acquired by Western Digital Corporation in 2013. What is the potential of Spark? How far is the market from realizing.

Big Data 79

Big Data Big Data Hadoop Analytics 79

AWS Machine Learning Blog

NOVEMBER 12, 2024

In entered the Big Data space in 2013 and continues to explore that area. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies.

SQL 121

SQL AWS AI AI 121

Smart Data Collective

SEPTEMBER 29, 2022

Big data has changed the marketing profession in extraordinary ways. billion on marketing analytics software last year. There are many different ways that marketers can leverage data analytics to create successful marketing strategies. In Outlook 2013 and earlier versions, IMAP accounts also used.pst file.

Big Data 145

Big Data Big Data Analytics Analytics 145

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Data analytics and business intelligence As businesses have opted for digital transformation, they are faced with a tsunami of data that is now incredibly valuable but is burdensome to collect, analyze, and process.

ML 121

ML ML Machine Learning Machine Learning 121

phData

NOVEMBER 8, 2024

These systems are built on open standards and offer immense analytical and transactional processing flexibility. Adopting an Open Table Format architecture is becoming indispensable for modern data systems. Schema Evolution Data structures are rarely static in fast-moving environments. Why are They Essential?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

ODSC - Open Data Science

FEBRUARY 28, 2023

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

Data Science 96

Data Science Machine Learning Machine Learning AI 96

Smart Data Collective

MARCH 27, 2020

For instance, the 2000 Honda Civic is the most stolen car in America and the Mitsubishi Mirage (in the 2013-2017 model range) has the most fatal crashes. Insurance companies have access to stats on what make and model of car is stolen more often or involved in more crashes.

Data Analysis 137

Data Analysis Data Analysis Big Data Big Data 137

AWS Machine Learning Blog

JANUARY 4, 2024

Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members. In entered the Big Data space in 2013 and continues to explore that area. Nitin Eusebius is a Sr.

SQL 141

SQL Database AI AI 141

AWS Machine Learning Blog

MARCH 15, 2024

He entered the big data space in 2013 and continues to explore that area. Her specialization is machine learning, and she is actively working on designing solutions using various AWS ML, big data, and analytics offerings. He also holds an MBA from Colorado State University.

AWS 136

AWS ML ML Machine Learning 136

Smart Data Collective

SEPTEMBER 22, 2021

We have talked in the past about using data analytics to choose the best cryptocurrencies to invest in. Dogecoin is an alt-coin to Bitcoin that was launched back on December 6th 2013. Blockchain technology has been instrumental in the development of new forms of commerce.

Big Data 130

Big Data Big Data Analytics Analytics 130

Smart Data Collective

JULY 24, 2019

Big data is often used to make the world safer. We can use big data to develop better predictive analytics tools to identify risks and take the right precautions. One of the best examples is with using big data to protect driver safety. Companies that use big data can create better contingency plans.

Big Data 98

Big Data Big Data Predictive Analytics Analytics 98

Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. This will be essential for all countries.

Deep Learning 95

Deep Learning Deep Learning Big Data Big Data 95