Data Science Blog: Data Engineering

NOVEMBER 15, 2023

Note from the author: Although object-centric process mining was introduced by Wil M.P. I probably developed my first object-centric event log back in 2016 and used it for an industrial customer. I did not call it object-centric but dynamic data model.

Architecture 52

Architecture Database-centric Process BI 52

ProjectPro

MAY 23, 2015

“Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon. Walmart uses data mining to discover patterns in point of sales data. Effective data mining at Walmart has increased its conversion rate of customers. to get the download link to Walmart Big dataset.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Zalando Engineering

FEBRUARY 1, 2017

Filters offer a static set of dimensions to narrow down content; usually built offline using data mining techniques. It builds the fashion profile and is enhanced by data sources using data mining techniques. The profile is built and enhanced from data sources using data mining techniques.

Data Mining 40

Data Mining Metadata Retail Algorithm 40

ProjectPro

JULY 23, 2021

2016 was the year when Deep Learning showed some significant advancement, and since then, it has all been set on fuel and fire. From virtual assistants in your smartphones and smart home devices to visual recognition, fraud detectors, self-driving cars, healthcare equipment, everything utilizes Deep Learning algorithms and methods.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

APRIL 2, 2015

Big data and Retail Industry A survey conducted in June 2013 by Gartner predicts that the Big Data spending in Retail Analytics will cross the $232 billion mark by 2016. Placing the two products together merely eliminates the choice of the customer and subtly influences the purchase behavior.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

MARCH 27, 2014

Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Data Scientist Roles and Responsibilities Plan and Develop big data analytics projects based on business requirements. Hadoop Jobs in US [link] [link] [link] [link] [link] Related Posts How much Java is required to learn Hadoop?

Hadoop 40

Hadoop Big Data Java Data Mining 40

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

APRIL 29, 2015

Big data success requires hadoop professionals who can prove their mastery with the tools and techniques of the Hadoop stack. The target audience is IT professionals with a background in analytics, data mining, business intelligence or data management, along with a knack for and interest in mathematics and statistics.

Hadoop 40

Hadoop Certification IT Big Data 40

ProjectPro

JANUARY 15, 2021

2) Google Cloud and YouTube 8M Dataset A dataset developed by the Google AI/Research in 2016 with 8 million YouTube videos (a total of 500K hours) and 4.8K ( an average of 3.4 3) Crime In India This dataset consists of complete information on state-wise crime data from 2001 classified across 40+ factors.

Machine Learning 40

Machine Learning Datasets Retail Banking 40

ProjectPro

MARCH 16, 2015

Now we can bring everything into Hadoop , regardless of data format or speed of ingest. If I find a new data source, I can start storing it the day that I learn about it. We leave no data behind.” ” By the end of 2016, the number of health records of millions of people is likely to increase into tens of billions.

Healthcare 40

Healthcare Big Data Project Hospitality 40

U-Next

AUGUST 24, 2022

The greatest professional Go player was beaten in 2016 by AlphaGo, a Go agent with real-world roots. Because 10270 different board configurations may be used, which is a massive increase over the number of chess boards, it is more complicated. It gained expertise by playing loads of games with expert players, just like a human player.

Machine Learning 40

Machine Learning Algorithm Manufacturing Data Collection 40

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. Big data is a topic that everyone is talking about.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75