Cloudera

JULY 13, 2021

CDP Data Engineering offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual profiling, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams. . A key aspect of ETL or ELT pipelines is automation.

Data Engineering 127

Data Engineering Data Engineer Engineering Pipeline-centric 127

Data Engineering Weekly

NOVEMBER 3, 2024

The blog emphasizes the importance of starting with a clear client focus to avoid over-engineering and ensure user-centric development. impactdatasummit.com Thumbtack: What we learned building an ML infrastructure team at Thumbtack Thumbtack shares valuable insights from building its ML infrastructure team.

Data Engineering 63

Data Engineering Data Engineer Engineering Pipeline-centric 63

Snowflake

APRIL 8, 2024

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare. Our sincere thanks go out to everyone who participated in this year’s competition.

Pipeline-centric 131

Pipeline-centric Food Healthcare Unstructured Data 131

Data Engineering Weekly

MARCH 30, 2025

One thing that stands out to me is As AI-driven data workflows increase in scale and become more complex, modern data stack tools such as drag-and-drop ETL solutions are too brittle, expensive, and inefficient for dealing with the higher volume and scale of pipeline and orchestration approaches.

Data Engineering 58

Data Engineering Data Engineer Engineering Pipeline-centric 58

Data Engineering Podcast

MAY 7, 2023

However, that's also something we're re-thinking with our warehouse-centric strategy. Rudderstack]([link] RudderStack provides all your customer data pipelines in one platform. You can collect, transform, and route data across your entire stack with its event streaming, ETL, and reverse ETL pipelines.

Pipeline-centric 130

Pipeline-centric Data Lake Machine Learning Data Warehouse 130

Towards Data Science

JUNE 27, 2023

Although I wasn’t aware of all the hype, the Data-Centric AI Community promptly came to the rescue: The 2.0 There is nothing worst for a data flow than wrong typesets , especially within a data-centric AI paradigm. In the new release, users can rest to sure that their pipelines won’t break if they’re using pandas 2.0,

Pipeline-centric 98

Pipeline-centric Data Science Machine Learning Datasets 98

Cloudera

SEPTEMBER 27, 2024

At EVOLVE in Singapore, the Manila Electric Company, Meralco , won the Cloudera 2024 Data Impact Award in the Leadership and Transformation category for its customer-centric and data-driven transformation. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?

Pipeline-centric 90

Pipeline-centric Pharmaceutical Telecommunication Data Analytics 90

Data Engineering Weekly

JULY 28, 2024

Adopting LLM in SQL-centric workflow is particularly interesting since companies increasingly try text-2-SQL to boost data usage. Pipeline breakpoint feature. I like testing people on their practical knowledge rather than artificial coding challenges. Swiggy recently wrote about its internal platform, Hermes, a text-to-SQL solution.

Data Engineering 110

Data Engineering Data Engineer Engineering Database-centric 110

Netflix Tech

NOVEMBER 3, 2023

When a user wants to leverage Data Mesh to move and transform data, they start by creating a new Data Mesh pipeline. The pipeline is composed of individual “Processors” that are connected by Kafka topics. Furthermore, many pipelines needed to be composed of multiple Processors. Overview of the SQL Processor workflow.

SQL 108

SQL Pipeline-centric Kafka Data 108

Data Engineering Podcast

APRIL 7, 2019

Summary How much time do you spend maintaining your data pipeline? How does the data-centric approach of DataCoral differ from the way that other platforms think about processing information? How does the data-centric approach of DataCoral differ from the way that other platforms think about processing information?

Data Pipeline 100

Data Pipeline Pipeline-centric Database-centric AWS 100

The Pragmatic Engineer

JANUARY 5, 2023

The first response has been frustration because of the chaos a breach like this causes: At a scaleup I talked with, infrastructure teams shut down all pipelines in order to replace secrets. Our customers are some of the most innovative, engineering-centric businesses on the planet, and helping them do great work will continue to be our focus.”

Pipeline-centric 130

Pipeline-centric Database-centric Coding Accessibility 130

François Nguyen

MARCH 22, 2021

You are starting to be an operation or technology centric data team. How to build Data Products or never call me Data Pipeline any more You have this interesting schema in her second article on Data Mesh by Zhamak Dehghani : “Data mesh introduces the concept of data product as its architectural quantum.

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

AUGUST 13, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Cloudera

SEPTEMBER 17, 2020

For modern data engineers using Apache Spark, DE offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual troubleshooting, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams. Job Deployment Made Simple.

Data Pipeline 104

Data Pipeline Data Engineer Data Engineering Engineering 104

Christophe Blefari

SEPTEMBER 13, 2024

NVidia released Eagle a vision-centric multimodal LLM — Look at the example in the Github repo, given an image and a user input the LLM is able to answer things like "Describe the image in detail" or "Which car in the picture is more aerodynamic" based on a drawing.

Pipeline-centric 100

Pipeline-centric Data Python Data Science 100

Data Engineering Weekly

JUNE 2, 2024

The resulting solution was SnowPatrol, an OSS app that alerts on anomalous Snowflake usage, powered by ML Airflow pipelines. link] Adevinta: How we moved from local scripts and spreadsheets shared by email to Data Products Data Product Thinking Shaping the data management to build a reliable, customer-centric data application.

Data Engineering 104

Data Engineering Data Engineer Engineering Pipeline-centric 104

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. This week I discovered SQLMesh , a all-in-one data pipelines tool. I hope he will fill the gaps. In the first part he treats about the history of modeling and the main concepts. When it comes to modeling it's hard not to mention dbt.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. This week I discovered SQLMesh , a all-in-one data pipelines tool. I hope he will fill the gaps. In the first part he treats about the history of modeling and the main concepts. When it comes to modeling it's hard not to mention dbt.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Cloudera

JANUARY 24, 2023

Next, it needed to enhance the company’s customer-centric approach for a needs-based alignment of products and services. We are positive that our continuing partnership with Cloudera and Blutech Consulting will be foundational to our customer-centric approach, considerably improving our customer responsiveness,” he said.

Banking 80

Banking Data Analytics Pipeline-centric IT 80

Snowflake

DECEMBER 19, 2023

Sometimes they need feedback on touchpoints very quickly, while other pipelines don’t need as much acceleration. Acadia, a digital media agency, wanted to accelerate end-to-end pipeline for its clients while also enhancing security for clients’ PII. One conversation quickly coming to the forefront is first-party data.

Building 105

Building Pipeline-centric Database-centric Digital Media 105

Monte Carlo

JANUARY 21, 2025

Key Themes Data-Driven Decision-Making : Learn how to build a data-centric culture that drives better outcomes. If youre attending, be sure to stop by Booth #219 to learn more about how data observability can enable your team to build AI-ready pipelines. Its a unique blend of business and technical expertise under one roof.

Data Analytics 52

Data Analytics Pipeline-centric Food Data Lake 52

Netflix Tech

JANUARY 10, 2024

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

Process 95

Process Pipeline-centric Media Metadata 95

Cloudera

APRIL 22, 2021

Look at details of volumes/buckets/keys/containers/pipelines/datanodes. Given a file, find out what nodes/pipeline is it part of. Seamlessly scale the architecture to thousands of nodes with a single pane of glass management using Cisco Application Centric Infrastructure (ACI).

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Big Data 101

Cloudera

DECEMBER 13, 2023

To enable LGIM to better utilize its wealth of data, LGIM required a centralized platform that made internal data discovery easy for all teams and could securely integrate external partners and third-party outsourced data pipelines. To realize this cohesive data vision, LGIM adopted Cloudera Data Platform (CDP) Public Cloud.

Pipeline-centric 89

Pipeline-centric Professional Services BI Datasets 89

Snowflake

JUNE 28, 2023

Since it’s all part of Snowflake’s single platform, data engineers and developers can also perform inference by programmatically calling the built-in or fine-tuned models, like in pipelines with Streams and Tasks or in applications. Learn More: Learn more about how Snowflake is building a data-centric platform for generative AI and LLM.

Pipeline-centric 98

Pipeline-centric Unstructured Data Data Government 98

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

DataKitchen

AUGUST 27, 2021

The data pipelines must contend with a high level of complexity – over seventy data sources and a variety of cadences, including daily/weekly updates and builds. Perhaps more importantly, data engineers and scientists may change any part of the automated pipelines related to data at any time. That’s the power of DataOps automation.

Pharmaceutical 98

Pharmaceutical Pipeline-centric Data Analytics Data Lake 98

Data Engineering Weekly

MARCH 3, 2024

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system.

Data Engineering 68

Data Engineering Data Engineer Engineering Pipeline-centric 68

Confluent

JUNE 18, 2019

It involves many moving parts, from data preparation to building indexing and query pipelines. Building an indexing pipeline at scale with Kafka Connect. Always keep an eye on their performance and make sure they run in the expected time to allow your pipeline to function properly. Scaling indexing. Interested in more?

Architecture 97

Architecture Building Kafka Database-centric 97

Dataquest

JANUARY 25, 2017

This is where data engineers come in — they build pipelines that transform that data into formats that data scientists can use. Roughly, the operations in a data pipeline consist of the following phases: Ingestion — this involves gathering in the needed data. A data scientist is only as good as the data they have access to.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Cloudera

NOVEMBER 15, 2021

Related to the neglect of data quality, it has been observed that much of the efforts in AI have been model-centric, that is, mostly devoted to developing and improving models , given fixed data sets. Data Cascades are said to be pervasive, to lack immediate visibility, but to eventually impact the world in a negative manner. Conclusions.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Pinterest Engineering

SEPTEMBER 20, 2023

These external partnerships along with our internal fashion specialists and labellers were fundamental in helping us design the experience from both a technical and human-centric perspective. The resulting structured dataset becomes the foundation to train and evaluate the machine learning model known as the body type signal.

Building 109

Building Pipeline-centric Machine Learning Datasets 109

Christophe Blefari

DECEMBER 19, 2022

But this article is not about the pricing which can be very subjective depending on the context—what is 1200$ for dev tooling when you pay them more than $150k per year, yes it's US-centric but relevant. But before sending your code to production you still want to validate some stuff, static or not, in the CI/CD pipelines.

Management 130

Management Pipeline-centric Database-centric SQL 130

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

DataKitchen

NOVEMBER 4, 2021

These limited-term databases can be generated as needed from automated recipes (orchestrated pipelines and qualification tests) stored and managed within the process hub. . The data pipelines must contend with a high level of complexity – over seventy data sources and various cadences, including daily/weekly updates and builds.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Towards Data Science

MAY 19, 2023

Data engineers spend countless hours troubleshooting broken pipelines. Data plays a central role in modern organisations; the centricity here is not just a figure of speech, as data teams often sit between traditional IT and different business functions. Every “minor” change upstream results in mayhem. trillion to the U.S.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

Data Engineering Weekly

AUGUST 25, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. The author writes about integrating uwheel with DataFusion (a query engine for building high-quality data-centric systems in Rust , using the Apache Arrow in-memory format).

Data Engineering 71

Data Engineering Data Engineer Engineering Database-centric 71