2015 and Data Engineering - Data Science Current

Big Data – Das Versprechen wurde eingelöst

Data Science Blog

MARCH 14, 2023

Dann etwa im Jahr 2018 flachte der Hype um Big Data wieder ab, die Euphorie änderte sich in eine Ernüchterung, zumindest für den deutschen Mittelstand. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green).

Big Data

Big Data Big Data Apache Hadoop Data Science

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

SEPTEMBER 29, 2023

Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015. In this example, we settle for the imperfect 2-year gap between the ground truth data and satellite imagery. Shital Dhakal is a Sr.

Machine Learning

Machine Learning Machine Learning ML ML

The Gap’s Data Science Director Has Tailored the Retailer’s Operations

Flipboard

JANUARY 20, 2025

Anand, who began as an analyst in 2013, was promoted to assistant vice president in 2015. As an assistant vice president, he developed data science and machine learning models to price bonds more accurately. A CDS is a financial instrument that lets investors swap or offset their credit risk with those from another investor.

Data Science

Data Science Data Scientist Exploratory Data Analysis Machine Learning

Webinars

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

MORE WEBINARS

WiBD & DataCamp May Session – DataCamp Certification and Next Steps

Women in Big Data

MAY 21, 2024

We provided a quick overview of Women in Big Data (WiBD). Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data.

Data Engineer

Data Engineer Data Engineering Data Engineering Data Engineering

What is Snowpark — and Why Does it Matter? A phData Perspective

phData

SEPTEMBER 20, 2023

phData has been working in data engineering since the inception of the company back in 2015. We have seen customers transform their data analytics with Snowflake and transform their data engineering and machine learning applications with Spark, Java, Scala, and Python.

SQL

SQL Python Data Lakes Machine Learning

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

DECEMBER 7, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, and the United States. He worked as a data science consultant at Eczacıbaşı Bilişim where he mainly focused on recommendation engine algorithms. Getir is the pioneer of ultrafast grocery delivery.

AWS

AWS Algorithm Data Science Machine Learning

Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

MAY 15, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. Getir is the pioneer of ultrafast grocery delivery.

Algorithm

Algorithm Data Scientist Machine Learning Machine Learning

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

APRIL 1, 2018

In Nick Heudecker’s session on Driving Analytics Success with Data Engineering , we learned about the rise of the data engineer role – a jack-of-all-trades data maverick who resides either in the line of business or IT. 3) The emergence of a new enterprise information management platform.

Analytics

Analytics Analytics Data Preparation Augmented Analytics

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Tableau had its IPO at the NYSE with the ticker DATA in 2013. June 2006), which allowed users to maintain live connections to their database, extract the data to work offline, or seamlessly switch between the two.

Tableau

Tableau ML ML Database

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

JUNE 22, 2023

We started working more with advanced engineering manufacturing firms in the first few years and started working with McKinsey, first in semiconductor manufacturing. We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. It is at the level of data quality and joining tasks.

Data Quality

Data Quality ML ML AI

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

JUNE 22, 2023

We started working more with advanced engineering manufacturing firms in the first few years and started working with McKinsey, first in semiconductor manufacturing. We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. It is at the level of data quality and joining tasks.

Data Quality

Data Quality ML ML AI

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

JUNE 22, 2023

We started working more with advanced engineering manufacturing firms in the first few years and started working with McKinsey, first in semiconductor manufacturing. We were ultimately acquired about six-and-a -half years ago now, at the very end of 2015. It is at the level of data quality and joining tasks.

Data Quality

Data Quality ML ML AI

MLOps and the evolution of data science

IBM Journey to AI blog

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications.

Data Science

Data Science Machine Learning Machine Learning ML

Analyzing the history of Tableau innovation

Tableau

DECEMBER 1, 2021

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Tableau had its IPO at the NYSE with the ticker DATA in 2013. June 2006), which allowed users to maintain live connections to their database, extract the data to work offline, or seamlessly switch between the two.

Tableau

Tableau ML ML Database

How to Optimize Power BI and Snowflake for Advanced Analytics

phData

MAY 25, 2023

Figure 1: Magic Quadrant Cloud Database Systems Source: Gartner (December 2021) Power BI is a data visualization and analysis tool that is one of the four tools within Microsoft’s Power Platform. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI

Power BI Analytics Analytics Azure

Data Science Current

Big Data – Das Versprechen wurde eingelöst

Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

Webinars

Trending Sources

The Gap’s Data Science Director Has Tailored the Retailer’s Operations

Webinars

WiBD & DataCamp May Session – DataCamp Certification and Next Steps

What is Snowpark — and Why Does it Matter? A phData Perspective

Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

Demand forecasting at Getir built with Amazon Forecast

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

Analyzing the history of Tableau innovation

McKinsey QuantumBlack on automating data quality remediation with AI

McKinsey QuantumBlack on automating data quality remediation with AI

McKinsey QuantumBlack on automating data quality remediation with AI

MLOps and the evolution of data science

Analyzing the history of Tableau innovation

How to Optimize Power BI and Snowflake for Advanced Analytics

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