Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

Database 59

Database Azure Analytics Analytics 59

Dataconomy

APRIL 25, 2025

Historical background of dplyr Dplyr was created in 2014 by Hadley Wickham as part of the tidyverse collection, aimed at making data science more accessible. dbplyr : Allows dplyr functions to interface with SQL databases. Benefits of using dplyr Using dplyr offers several advantages: Saves time in data preparation tasks.

Data Analysis 91

Data Analysis Data Analysis Data Preparation Data Scientist 91

Flipboard

MARCH 11, 2023

When Apache Spark became a top-level project in 2014, and shortly thereafter burst onto the big data scene, it along with the public cloud disrupted …

Big Data 93

Big Data Big Data Database Machine Learning 93

Hacker News

FEBRUARY 5, 2023

From that story: “Among those who grabbed a copy of the database was Antti Kurittu , a team lead at Nixu Corporation and a former criminal investigator. There were also other projects and databases.” According to the French news site actu.fr , Kivimäki was arrested around 7 a.m.

Database 176

Database 176

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

Data Science Blog

JUNE 27, 2023

Kappa – Architecture Jay Kreps introduced the Kappa architecture in 2014 as an alternative to the Lambda architecture. For existing event sources, listeners are utilized to stream writes directly from database logs or similar data stores. As a result, the development and maintenance efforts for both layers should not be underestimated.

Big Data 130

Big Data Big Data Apache Kafka Database 130

Flipboard

APRIL 8, 2023

Until 2014, most new machine learning models came from academia, but industry has quickly surged ahead. Industry is also the place for new machine learning models With greater numbers of Ph.D.’s, s, it’s no surprise that industry has raced ahead of academia in producing new machine learning models.

AI 182

AI AI Machine Learning Machine Learning 182

Smart Data Collective

APRIL 24, 2022

Take the Marriott data breach in 2014, for example. Before Marriot acquired the Starwood hotel group, Starwood suffered a major data breach of its customer database. Because no internal threat detection mechanisms existed, the malicious actors had access to massive volumes containing personal customer information.

Database 134

Database 134

Dataconomy

MAY 6, 2025

Overview of VGGNet The development of VGGNet occurred during the 2014 ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Version highlights VGG-19 achieved remarkable performance metrics in the ILSVRC 2014, with a top-5 error rate of just 7.3%.

Deep Learning 91

Deep Learning Deep Learning Database Algorithm 91

Dataconomy

MAY 13, 2025

Between 2014 and 2021 , just four such papers were published each year. The new study analyzed 341 NHANES-based papers published between 2014 and 2024 that relied on single-variable correlations. The median study analyzed just four years of NHANES data, despite the database offering over two decades of information.

AI 91

AI AI Data Mining Data Mining 91

Applied Data Science

MAY 6, 2021

To keep myself sane, I use Airflow to automate tasks with simple, reusable pieces of code for frequently repeated elements of projects, for example: Web scraping ETL Database management Feature building and data validation And much more! What’s Airflow, and why’s it so good? What makes it my go to?

Data Scientist 130

Data Scientist Python Data Science Database 130

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145

Tableau ML ML Database 145

AWS Machine Learning Blog

JUNE 3, 2025

Bevar Ukraine was established in 2014 and has been at the forefront of supporting Ukrainian refugees in Denmark since the full-scale war in 2022, providing assistance to over 30,000 Ukrainians with housing, job search, and integration services. Start with a simple prototype, test the embedding quality in your domain, and expand iteratively.

AWS 89

AWS AI AI Machine Learning 89

AWS Machine Learning Blog

JUNE 24, 2024

In 2014, Jhanvi and her sister, Ketaki Shriram, co-produced a feature film that premiered at the Tribeca Film Festival and was acquired by Univision. Their web application is developed using AWS Amplify. Jhanvi holds a BA and MBA from Stanford University, and an MFA (Film Producing) from USC.

AWS 118

AWS AI AI ML 118

AWS Machine Learning Blog

FEBRUARY 11, 2025

He led the development of Amazon Neptune ML, a new capability of Neptune that uses graph neural networks for graphs stored in a Neptune graph database. He received his PhD in computer systems and architecture at the Fudan University, Shanghai, in 2014.

AWS 103

AWS Python ML ML 103

Dataversity

APRIL 29, 2021

The Challenge Michael Stonebraker, winner of the Turing Award 2014, has been quoted as saying: “The change will come when business analysts who work with SQL on large amounts of data give way to data scientists, which will involve more sophisticated analysis, predictive modeling, regressions and Bayesian […].

Data Science 52

Data Science Data Scientist SQL Big Data 52

Dataconomy

AUGUST 31, 2023

The idea emerged in 2014 and continued with acquiring RelateIQ. Unfortunately, they have to fill out similar forms, look for the needed client in the database, and switch between different channels. To make their product not only user-friendly and convenient for storing lead information.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Natural Language Processing Database 103

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first OEM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 98

Tableau ML ML Database 98

AssemblyAI

OCTOBER 4, 2023

You'll use Semantic Kernel's abstractions to interact with an LLM and store the transcripts in a vector database. The transcripts will be stored in an open-source vector database, Chroma. Alternatively, you can use a different vector database supported by Semantic Kernel. Update the Main method with the following code.

Database 64

Database Azure AI AI 64

phData

FEBRUARY 2, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. It can be run for one table, many tables, or an entire database to give you a full report on how your migration is going.

SQL 52

SQL Database Data Quality Data Engineering 52

AWS Machine Learning Blog

AUGUST 2, 2024

He led the development of Amazon Neptune ML, a new capability of Neptune that uses graph neural networks for graphs stored in graph database. in computer systems and architecture at the Fudan University, Shanghai, in 2014. He received his Ph.D.

ML 119

ML ML Machine Learning Machine Learning 119

ODSC - Open Data Science

MAY 25, 2023

In 2014 she was named the world’s first Chief AI Ethics officer. Vargas’ responsibilities at Microsoft also include advisor to Microsoft CTO, AI scalability, and strategy expert, and lead for the organization’s AI at Scale Initiative and Azure Database Services. To become an ODSC APAC speaker, find more information here.

Data Science 52

Data Science Machine Learning Machine Learning Database 52

PyImageSearch

MAY 19, 2025

Example Search Query and Response in OpenSearch When executing a neural search, OpenSearch returns a JSON response similar to the one below: { "hits": { "total": 3, "hits": [ { "_score": 0.98, "_source": { "title": "Interstellar", "plot_text": "A team of astronauts travel through a wormhole in search of a new home for humanity.", "director": "Christopher (..)

K-nearest Neighbors 91

K-nearest Neighbors AWS Deep Learning Deep Learning 91

AWS Machine Learning Blog

JANUARY 13, 2023

This dataset comprises a multi-center critical care database collected from over 200 hospitals, which makes it ideal to test our FL experiments. We used the eICU Collaborative Research Database , a multi-center intensive care unit (ICU) database, comprising 200,859 patient unit encounters for 139,367 unique patients.

AWS 96

AWS Analytics Analytics Machine Learning 96

Alation

FEBRUARY 20, 2020

Icon has been investing in database and data management companies for the last 15 years and he has assembled one of the strongest early teams we’ve seen. He joined Icon Ventures in 2014, bringing over 17 years of executive experience. Finally, Satyen Sangani, the Alation CEO, is simply world class. It’s that simple.

Data Lakes 52

Data Lakes Data Visualization Machine Learning Machine Learning 52

DagsHub

OCTOBER 23, 2024

Data can come from different sources, such as databases or directly from users, with additional sources, including platforms like GitHub, Notion, or S3 buckets. Vector Databases Vector databases help store unstructured data by storing the actual data and its vector representation. mp4,webm, etc.), and audio files (.wav,mp3,acc,

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

AWS Machine Learning Blog

JANUARY 26, 2023

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet.

ML 98

ML ML Data Scientist AWS 98

ODSC - Open Data Science

JULY 24, 2023

I’mCloud Established in 2014, I’mCloud has worked to raise capital and become the 4th leading company in AI and big data in South Korea. The company currently is working with over four thousand systems and almost 150 databases with a clientele that is quite diverse, from banking, finance, & insurance, to consumer products and energy.

AI 52

AI Data Science AI Big Data 52

The MLOps Blog

OCTOBER 20, 2023

In 2014, Project Jupyter evolved from IPython. Reading & executing from.sql scripts We can use.sql files that are opened and executed from the notebook through a database connector library. connection_params: A dictionary containing PostgreSQL connection parameters, such as 'host', 'port', 'database', 'user', and 'password'.

SQL 52

SQL Database Data Scientist Python 52

Mlearning.ai

JUNE 16, 2023

February 23, 2014. ImageNet: A Large-Scale Hierarchical Image Database.” [link] [9] Sermanet, Pierre, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, and Yann LeCun. OverFeat: Integrated Recognition, Localization and Detection Using Convolutional Networks.” was originally published in MLearning.ai

AI 52

AI AI ML ML 52

phData

NOVEMBER 9, 2023

As an example, an IT team could easily take the knowledge of database deployment from on-premises and deploy the same solution in the cloud on an always-running virtual machine. If you go back to 2014, data warehouse platforms were built using legacy architectures that had drawbacks when it came to cost, scale, and flexibility.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. Two of our co-founders were part of Harvards first Masters program in Computational Science and Engineering in 2014, now one of many such programs at universities.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

AssemblyAI

AUGUST 15, 2023

Around 2012 to 2014, developers proposed updating these modules, but were told to use third party libraries instead. Actions include dedicating a host for the data team, database tuning, and improving demand on the database. However, over time these modules became outdated. More work is needed to determine the best solutions.

Python 52

Python Machine Learning Machine Learning Algorithm 52

ML Review

MAY 3, 2018

A somewhat-recent technique, taking inspiration from earlier work but popularised by Alex Graves’s in 2013/2014, it has grown in use partially from his memory-related work: the now-famous sequence generation paper [36] along with his work on neural turing machines. [37] One only has to look at the desirable characteristics of Chung et al.’s

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Alation

SEPTEMBER 6, 2022

Michael is one our most senior software engineers, having joined the company in 2014. I worked with biological databases, pulling information and running experiments to synthesize something, test it, and see if you can build a tool. At that moment I started connecting the dots and I was like, “Oh my God! Take GenBank for example.

Database 52

Database Data Warehouse Computer Science Computer Science 52

Explosion

MAY 17, 2023

In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text. So you do have to work around things, and use things like vector databases or other tricks. We all spend a big part of our working lives writing, reading, speaking and listening.

Supervised Learning 135

Supervised Learning Natural Language Processing Clustering Machine Learning 135