ProjectPro

JUNE 2, 2015

The General Services Administration has partnered with a Massachusetts based big data analytics company FirstFuel to save $13 million annually in the energy costs across 180 buildings. Business win online when they use hard-to-copy technology to deliver a superior customer experience through mining larger and larger datasets.”-

Big Data 40

Big Data Hadoop Banking Retail 40

Knowledge Hut

APRIL 25, 2024

It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. Due to this, businesses from a variety of industries are concentrating on implementing this technology. The main features of big data analytics are: 1. What Spotify does is this.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

MAY 5, 2023

Additionally, through predictive analytics and smart home technology , AI can identify potential maintenance issues before they become critical, allowing property managers to address them proactively. So as far as the penetration of AI technologies into revenue management goes, a significant shift is happening.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc.

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Big Data Data Analytics IT NoSQL 78

U-Next

SEPTEMBER 22, 2022

Data that is structured, such as spreadsheets or machine data, is used in machine learning (ML). A deep learning algorithm (DL) analyzes unstructured data such as text, video, social media posts, audio, images, etc. . Many data warehouses are not directly connected to systems that store user data.

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

OCTOBER 20, 2021

The Gartner Hype Cycle Methodology is an industry-approved representation of how a technology or application will mature over time. It represents initial interest, a peak in its hype, rolls down to reduced interest in the technology followed by maturity and implementation. Gartner is a market leader in market research.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. They are also often expected to prepare their dataset by web scraping with the help of various APIs.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. Analysts in social media companies use R to identify potential customers through targeted online advertising.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

AUGUST 9, 2021

Following is a non-exhaustive list of libraries available to use in Python for Data Science - seaborn, matplotlib , sci-kit learn, NumPy , SciPy , requests, pandas , regex etc. Aptly so, Python is a fine choice for beginners to get started learning data science. Fake news is a deliberate misrepresentation of data and facts.

Data Science 52

Data Science Python Project Datasets 52

Knowledge Hut

DECEMBER 26, 2023

You can also gain knowledge and certification on big data in detail through Big Data certification online courses. Top Big Data Books for Beginners 1. Big Data: Concepts, Technology and Architecture For data scientists, engineers, and database managers, Big Data is the best book to learn big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

JUNE 24, 2021

Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge. With the popularity of social media, it is very easy to express one’s sentiments towards a particular movie.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

SEPTEMBER 23, 2022

Concepts such as components of databases and other attributes related to Data Science have taken the world by storm. To handle this large amount of data, we want a far more complicated architecture comprised of numerous components of the database performing various tasks rather than just one. . Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40