Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary.

Amazon Web Services 218

Amazon Web Services Data Pipeline Machine Learning Data Science 218

LinkedIn Engineering

OCTOBER 5, 2023

Right now, you can find EBR at work in a number of features we offer, such as Jobs You Might Be Interested In (JYMBII), the content you see in LinkedIn Feed and Notifications, and a number of our search products, such as Job Search. Simplistically, the items that are “close” to the request in the embedding space are retrieved.

IT 133

IT Metadata Designing Algorithm 133

LinkedIn Engineering

OCTOBER 2, 2023

Refining the LinkedIn member experience In my role at LinkedIn, I’m on one of the consumer-facing teams responsible for the algorithm recommending the feed to LinkedIn members. I also love keeping tabs on the member experience through on-call shifts, which is when I’m responsible for LinkedIn’s feed worldwide.

Data Science 85

Data Science Machine Learning Scala Algorithm 85

LinkedIn Engineering

APRIL 20, 2023

We’ve previously discussed the various systems used to create a safe and trusted experience for our members and how we keep the LinkedIn Feed relevant for our members on LinkedIn. Our goal at LinkedIn is to enable them to do so in a safe, trusted, and professional environment.

Machine Learning 124

Machine Learning Utilities Designing Accessible 124

Engineering at Meta

FEBRUARY 6, 2023

At the time, News Feed’s data models were backed by Apple’s default framework for managing data models: Core Data. Objects in Core Data are mutable, and that did not lend itself well to News Feed’s multithreaded architecture. These characteristics seemed well suited for the problems News Feed was facing.

Architecture 141

Architecture Coding Engineering Systems 141

Snowflake

APRIL 11, 2024

Not only do we have a unique vantage point into the challenges faced by data analysts, we also possess rich metadata that feeds into Snowflake’s dedicated text-to-SQL model that Copilot leverages in combination with Mistral’s technology. This vast amount of data fuels the development of Copilot, surpassing typical large language models.

SQL 134

SQL AWS Data Analysis High Quality Data 134

Towards Data Science

FEBRUARY 7, 2023

In this article, we will try to understand how the output from Delta Lake change feed can be used to feed downstream applications Continue reading on Towards Data Science »

Data Management 76

Data Management Management Data Science Data 76

Cloudera

APRIL 18, 2024

Among other shifting trends, we saw just how much the approach to data management is shifting, with data strategies moving to account for the data that feeds AI use cases and ultimately makes them trustworthy, and successful. Learn more about how Cloudera is accelerating enterprise AI.

Metadata 92

Metadata Government Data Governance Data 92

KDnuggets

NOVEMBER 16, 2022

How LinkedIn Uses Machine Learning To Rank Your Feed • Confusion Matrix, Precision, and Recall Explained • Matrix Multiplication for Data Science (or Machine Learning) • Machine Learning from scratch: Decision Trees • 7 Python Projects for Beginners.

Machine Learning 108

Machine Learning Data Science Python Project 108

Cloudyard

OCTOBER 23, 2023

Imagine a scenario where a source system continuously feeds Snowflake with evolving CSV data. CSV File Structure – Day1 As we can see currently there are 7 columns in feed file. CSV File Structure – Day2 We can clearly see there are 9 columns in the feed file. COPY Day2 Verify the data in table.

Data Schemas 52

Data Schemas Data Pipeline Structured Data Architecture 52

KDnuggets

MARCH 7, 2022

You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user. In this article, you will learn to export your models and use them outside a Jupyter Notebook environment.

Machine Learning 127

Machine Learning Building 127

Monte Carlo

MARCH 18, 2024

Are there any privacy issues with the data feeding a given model? Can we trust the reliability of data that’s feeding a given model? But when it comes to the data that feeds an AI model, you actually need a much higher level of validation. For example, do we know where the data came from and how it was acquired?

Building 64

Building Healthcare Data Database 64

KDnuggets

NOVEMBER 21, 2022

Git for Data Science Cheatsheet • 6 Best Free Online Courses to Learn Python and Boost Your Career • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • How LinkedIn Uses Machine Learning To Rank Your Feed • 7 SQL Concepts You Should Know For Data Science.

Data Science 100

Data Science Machine Learning SQL Python 100

Cloudyard

AUGUST 13, 2023

These feed files are generated using SQL Server, and modifications to the SQL Server table could alter the file’s structure. This is the main script which validates the count of feed file with control file count, If it matches only then it connects to SNOWSQL and execute the.sql file we created in above steps.

AWS 52

AWS SQL Metadata Utilities 52

Cloudyard

SEPTEMBER 13, 2023

In this scenario, let’s assume that we have a historical feed file that needs to be loaded into Snowflake. For subsequent runs, we anticipate receiving a Delta feed file in the S3 bucket, containing new or updated records. However, the introduction of Dynamic Tables has simplified the SCD2 implementation process considerably.

Datasets 52

Datasets Process Data IT 52

The Modern Data Company

FEBRUARY 8, 2023

For example, it is common for a non-expert to build a predictive model using a point-and-click tool without realizing that their problem is ill-formed and that the data they are feeding the model is not appropriate for their needs. It will compile the results and feed them back to the application that requested it.

Government 98

Government Data Engineering Data Engineer Data Pipeline 98

Engineering at Meta

SEPTEMBER 7, 2023

We recently launched Threads on Web and other new feature updates have already been rolled out, including Following feed, the ability to edit alt-text, and the ability to share a Thread to Instagram DMs. For some surfaces, like the activity feed, we rewrote it three times before we finally landed on an implementation that felt good enough.

Media 142

Media Engineering Coding Python 142

Data Engineering Podcast

APRIL 9, 2023

added burden on core data teams to generate event-driven data models When iterating toward a CDP on top of the core investment of the infrastructure to feed and manage a data warehouse, what are the typical first steps? What are some of the components in the ecosystem that help to speed up the time to adoption?

Data Lake 147

Data Lake Data Warehouse Machine Learning Data 147

Knowledge Hut

OCTOBER 29, 2023

News Feed App Type: Application designing, Application development, Programming A news feed app is a great choice for a computer science project. You can use RSS feeds, APIs, or web scraping techniques to collect this data. Source Code: News Feed App 4. Source Code: Weather Forecast App 3.

Computer Science 111

Computer Science Coding Project Hospitality 111

Cloudera

JUNE 28, 2022

We will also use the information produced by the streaming analytics jobs to feed different downstream systems and dashboards. . The scored transactions are written to the Kafka topic that will feed the real-time analytics process that runs on Apache Flink. A dashboard feeds from the Kudu database to show fraud summary statistics.

Process 81

Process Kafka SQL Machine Learning 81

Snowflake

DECEMBER 6, 2023

We’re using healthcare event data to feed algorithms that act as a co-pilot for care managers. Our Sevida Data Pod manages a large number of data feeds from multiple sources, including clinical and social, every day for our clients.

Healthcare 88

Healthcare Aggregated Data Medical Data 88

Monte Carlo

NOVEMBER 8, 2023

Apache Kafka Apache Kafka is undoubtedly one of the most popular open-source stream-processing platforms—delivering high-throughput, low-latency, and real-time data feeds for cloud-based data and AI products.

Kafka 64

Kafka Database High Quality Data Datasets 64

DataKitchen

FEBRUARY 27, 2024

Validation testing is a safeguard, ensuring that the data feeding into LLMs is of the highest quality. Feeding this unstructured data into LLMs without proper contextualization risks creating noise instead of clarity. Conclusion The journey toward deploying effective and reliable LLMs is challenging but offers significant rewards.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Christophe Blefari

JUNE 3, 2023

The camera is using location data to feed context to a generative algorithm. In the end it generates a code that is used to send the agent in the cubic world. A new kind of camera — An artist developed an AI camera, the Paragraphica, that is a context-to-image camera.

Data Pipeline 130

Data Pipeline Data SQL Algorithm 130

Confluent

MARCH 2, 2021

There are many different data pipeline, integration, and ingestion tools in the market, but before you can feed your data analytics needs, data […]. Today, every company is a data company.

Kafka 125

Kafka Data Pipeline Data Analytics Data 125

LinkedIn Engineering

OCTOBER 19, 2023

For our members, this means that we’re able to serve more accurate job recommendations, improve feed recommendations, and identify fake profiles at a faster rate, etc. The pipelines consume, aggregate, partition, and process events from over 950 million LinkedIn members and feed the data to downstream machine learning models.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Christophe Blefari

JANUARY 26, 2024

Inputs — This is what you ask from the users to feed your algorithm. Inputs and outputs can be instrumented with multiple techniques that will empower people in their interaction with AI algorithm. It can be done with calibration , implicit or explicit feedback and corrections.

Google Cloud 130

Google Cloud Algorithm Data Java 130

LinkedIn Engineering

NOVEMBER 20, 2023

We planned to ensure these expert voices reached members who’d use these insights where they were, finding them through search engines or engaging with them on LinkedIn in their feeds, InMails, and notifications. Once all the pieces aligned, we were ready to share Collaborative Articles with our broader LinkedIn community.

Engineering 82

Engineering Systems Building Coding 82

Pinterest Engineering

SEPTEMBER 5, 2023

However, with MLEnv, we were able to form a cross functional team of Advanced Technology Group (ATG) and the ML Serving platform team to focus on a single unified environment and deliver the first production launch on Pinterest’s home feed within 6 months. One example is the home feed ranking team’s work on the Realtime User Actions Sequence.

Engineering 91

Engineering Deep Learning Architecture Project 91

Rockset

SEPTEMBER 26, 2023

Feeding models with real-time data : Other models, however, can be dynamically retrained as new information is introduced. We aim to coherently feed these diverse inputs into a model with low latency and without a complex architecture. At the heart of their product lies their home feed where users see recommendations for livestreams.

Metadata 64

Metadata Kafka Cloud Database 64

LinkedIn Engineering

NOVEMBER 27, 2023

Through a combination of human and technology review systems, this new framework helps ensure that content that doesn’t align to our policies does not make it onto the platform and into our members’ feeds. How We Designed the New System Hundreds of thousands of items are ingested in our content review queue every week for human review.

Machine Learning 87

Machine Learning Data Science Engineering Architecture 87

Knowledge Hut

FEBRUARY 28, 2024

The business analyst is expected to bridge the gap between the traditional and advanced practices of information gathering; it saves the time of all the project team members that they otherwise invest in pulling data from a spreadsheet and then feeding it into the Excel sheet to make it accessible at different points.

Business Analyst 98

Business Analyst Data Science Project Designing 98

Christophe Blefari

MARCH 22, 2024

The reason I do this is to avoid context switching —let's be honest, it works for the DN context, but does not work in general in my life. Exploration, Friday morning I read the last 7 days of 2 Twitter lists ( MDS , Data voices ) and I open interesting stuff in tabs. Then I opens the elements saved from LinkedIn.

Electronics 130

Electronics Media Data Python 130

Cloudera

SEPTEMBER 30, 2022

A financial services company subscribes to daily feeds of Bloomberg data to do various analyses. With CDF-PC, they built a data flow that collects the daily feeds that arrive in a cloud object store, processes them, and delivers them to multiple downstream systems. and to Cloudera to use the CDF-PC cloud service.

Google Cloud 73

Google Cloud AWS Cloud Cloud Storage 73

Rockset

AUGUST 26, 2022

American dairy farmers were early adopters of using data to improve their operations, to track the genetic markers of their livestock, to monitor forecasts for weather and feed prices, installing IoT sensors to track the cow’s movements , and recording actual milk production numbers. But they’ve been stymied.

IT 52

IT Food Data Lake Aggregated Data 52

LinkedIn Engineering

DECEMBER 13, 2023

It can be far more complex for skills embedded in content, such as LinkedIn Learning courses, resumés, and feed posts. This work helps us build a more powerful Skills Graph that provides better matching and relevance across jobs, courses, feed posts, and more for members and customers.

Recruitment 83

Recruitment Utilities Designing Java 83