Pinterest Engineering

SEPTEMBER 12, 2023

Behind the scenes, hundreds of ML engineers iteratively improve a wide range of recommendation engines that power Pinterest, processing petabytes of data and training thousands of models using hundreds of GPUs. transformers) became standardized, ML engineers started to show a growing appetite to iterate on datasets.

Data Process 104

Data Process Process Datasets Software Engineer 104

AltexSoft

AUGUST 25, 2021

And this technology of Natural Language Processing is available to all businesses. Available methods for text processing and which one to choose. Specifics of data used in NLP. What is Natural Language Processing? Here are some big text processing types and how they can be applied in real life. Main NLP use cases.

Process 139

Process Deep Learning Datasets Machine Learning 139

Data Engineering Podcast

JUNE 26, 2022

Summary The proliferation of sensors and GPS devices has dramatically increased the number of applications for spatial data, and the need for scalable geospatial analytics. Atlan is the metadata hub for your data ecosystem. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Waitingforcode

FEBRUARY 3, 2023

Setting a data processing layer up has several phases. You need to write the job, define the infrastructure, CI/CD pipeline, integrate with the data orchestration layer, and finally, ensure the job can access the relevant datasets. Let's see!

Data Process 100

Data Process Process Cloud Datasets 100

Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

Data Storage 185

Data Storage Big Data Hadoop Datasets 185

Precisely

SEPTEMBER 25, 2023

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A Last year we wrote a blog post about how Data Mesh helped our Studio team enable data movement use cases.

Process 109

Process Transportation Kafka Entertainment 109

LinkedIn Engineering

JANUARY 19, 2024

Figure 1: Talent pool report for recruiters - LinkedIn Talent Insights During mergers and acquisitions, the source company’s user licenses and data are transferred to the acquiring company. This multi-entity handover process involves huge amounts of data updating and cloning. A typical merger & acquisition scenario.

Recruitment 88

Recruitment Data Process Process Kafka 88

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Process 88

Process Data Pipeline Datasets SQL 88

KDnuggets

DECEMBER 20, 2021

Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.

Engineering 140

Engineering Datasets Data Process 140

LinkedIn Engineering

MARCH 23, 2023

Co-Authors: Yuhong Cheng , Shangjin Zhang , Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. By unifying these pipelines, we have saved 94% of processing time. Samza , Spark and Apache Flink ).

Process 97

Process Lambda Architecture Kafka Datasets 97

Christophe Blefari

APRIL 19, 2024

easy ( credits ) Hey, new Friday, new Data News. It was trained on a large dataset containing 15T tokens (compared to 2T for Llama 2). This is super interesting because it details important steps of the generative process. This week, I feel like the selection is smaller than usual, so enjoy the links.

MySQL 130

MySQL Data Datasets SQL 130

Analytics Vidhya

FEBRUARY 19, 2023

Introduction Data pipelines play a critical role in the processing and management of data in modern organizations. A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing.

Data Pipeline 197

Data Pipeline Data Designing Data Process 197

Precisely

MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness.

Insurance 72

Insurance Process Medical Data Governance 72

Christophe Blefari

SEPTEMBER 28, 2023

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Is the modern data stack dying?

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Christophe Blefari

APRIL 14, 2023

Anyway, here the weekly Data News, written faster than usual. Hot takes on the Modern Data Stack — Matt gives 5 hot takes about the MDS. This time he writes about the new marketing approach of the modern data stack ecosystem. Data Economy 💰 Cybersyn raises $62.9m

Datasets 130

Datasets Data Deep Learning SQL 130

The Pragmatic Engineer

OCTOBER 17, 2024

Storing data: data collected is stored to allow for historical comparisons. The historical dataset is over 20M records at the time of writing! Visualizing the data: the frontend that allows querying of live and historic data. This means about 275,000 up-to-date server prices, and around 240,000 benchmark scores.

Cloud 277

Cloud AWS Metadata Cloud Computing 277

Christophe Blefari

OCTOBER 20, 2023

Read my dbt multi-project guide 📺 On the content side I'll also present next week the Fancy Data Stack project at the Data Engineering And Machine Learning Summit 2023 organised by Seattle Data Guy. a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.).

Generalist 130

Generalist Entertainment NoSQL Datasets 130

Start Data Engineering

NOVEMBER 21, 2024

Analytical databases aggregate large amounts of data 3. Understand how the platforms process data 3.1.1. A compute engine is a system that transforms data 3.1.2. Metadata catalog stores information about datasets 3.1.3. Data platform support for SQL, Dataframe, and Dataset APIs 3.1.4.

Metadata 130

Metadata Datasets SQL Database 130

Towards Data Science

AUGUST 29, 2023

Data Quality Chronicles Missing data, missing mechanisms, and missing data profiling Missing Data prevents data scientists to see the entire story the data has to tell. One of them was, unsurprisingly, Missing Data. Photo by Ronan Furuta on Unsplash. Image by Author. Image by Author.

Datasets 100

Datasets Machine Learning Data Data Science 100

Confessions of a Data Guy

APRIL 19, 2024

The idea was to see if the two tools could process “larger than memory” datasets with lazy execution. appeared first on Confessions of a Data Guy. Polars worked fine, DuckDB failed in spectacular fashion.

IT 140

IT Datasets Process Data 140

Precisely

JULY 12, 2024

Data can be your organization’s most valuable asset, but only if it’s data you can trust. When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality.

Data Integration 105

Data Integration Datasets Data Data Governance 105

Christophe Blefari

OCTOBER 14, 2023

( credits ) Hello, dear Data News reader, I hope you'll enjoy this new edition. Then Marc Lamberti gave a huge update about Airflow but done differently — It wasn't about slides with a list of new features but rather about how you can write, in 2023, a data pipeline with Airflow. This DAG parsing step has flaws.

Python 130

Python Datasets Data Banking 130

The Pragmatic Engineer

APRIL 6, 2023

Starting January, a wealth of compensation data is available on these employers’ websites. This created an opportunity to build job sites which collect this data, make it easy to browse, and allow job seekers to apply to jobs paying at or above a certain level. crawls job sites and parses the data. Comprehensive.io

Software Engineer 193

Software Engineer Software Engineering Datasets Database 193

Christophe Blefari

NOVEMBER 11, 2022

On a social note, today I've joined data-folks Mastodon server, you can follow me there. I'll speak about "How to build the data dream team" Let's jump onto the news. Ingredients of a Data Warehouse Going back to basics. Ian describes how Riot Games uses data and what machine learning means.

BI 130

BI Data Warehouse Data Database 130

Cloudera

MAY 19, 2021

This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS.

Machine Learning 138

Machine Learning Datasets Data Science Raw Data 138

Netflix Tech

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Cloudera

SEPTEMBER 18, 2024

According to recent survey data from Cloudera, 88% of companies are already utilizing AI for the tasks of enhancing efficiency in IT processes, improving customer support with chatbots, and leveraging analytics for better decision-making.

Datasets 93

Datasets Retail Healthcare Finance 93

Knowledge Hut

FEBRUARY 29, 2024

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Data Engineering Podcast

MAY 26, 2024

When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. Can you start by sharing some of your experiences with data migration projects?

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Data Engineering Weekly

AUGUST 6, 2024

TL;DR Aswin and I are thrilled to announce the release of the first version of our comprehensive guide for evaluating Change Data Capture. Why CDC is More Relevant in Unified Data Architecture As we advance into the Gen AI era, Change Data Capture (CDC) systems are emerging as crucial components of the ever-evolving data architecture.

Data Lake 125

Data Lake Data Warehouse Database Data Architecture 125

Azure Data Engineering

MAY 28, 2022

ARM or Azure Resource Manager templates make it easy to manage deployments for Data Factory. When we connect Data Factory to a source control repository (e.g. GitHub or Azure DevOps Git), the data factory along with all its artefacts ( pipelines , datasets , linked services etc.)

Datasets 130

Datasets Coding Data Management 130

Christophe Blefari

AUGUST 24, 2024

Events ✨ As you may know I'm co-organising the Forward Data Conference on November 25th in Paris. The Forward Data Conference will be a day to shape the future of the data community, where teams can come to learn and grow together. Get tickets for Forward Data Conference Transition to another event.

BI 130

BI Food Data SQL 130

Christophe Blefari

JULY 13, 2024

EuroSeagull ( credits ) Dear members, it's been a few weeks since I did not catch you on a proper Data News with a collection of links. Additionally, I attended an interesting talk by a Data News reader about the rise of YAML engineers , Matthieu also wrote in the past an article about this. Here we are. So propose a talk.

Kafka 130

Kafka AWS Data Database 130

Christophe Blefari

MARCH 22, 2024

Friday routine ( credits ) It's Friday and it's Data News. I don't go into too much detail about the magic of Data News, but every Friday is the same. Usually all the process takes me a whole Friday. The process works well, but as you can see, because I use fresh news, it's just-in-time. on April 10.

Electronics 130

Electronics Media Data Python 130

Data Engineering Weekly

JULY 7, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

KDnuggets

APRIL 24, 2023

The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model. The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset.

Algorithm 124

Algorithm Datasets Data Coding 124