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,

Data 98

Data Pipeline-centric Data Science Python 98

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines. However, they are not just an upgraded version of ETL.

Data Pipeline 52

Data Pipeline ETL Tools Data Pipeline-centric 52

Ascend.io

JUNE 21, 2023

Risk Reduction : Data-centric decision-making can also contribute to risk reduction. In the case of data products, these are networks of data pipelines, which makes them an integral part of your modern operational machinery. Let’s begin by looking at the costs of your data pipeline networks in aggregate.

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Data Pipeline Pipeline-centric Data Metadata 52

Knowledge Hut

JUNE 20, 2023

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Pipeline-Centric Engineer: These data engineers prefer to serve in distributed systems and more challenging projects of data science with a midsize data analytics team.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Snowflake

JUNE 28, 2023

Simplified streaming pipelines in Snowflake We are expanding our streaming capabilities with Dynamic Tables (public preview). Dynamic Tables drastically simplifies continuous data pipelines for transforming both batch and streaming data. You can now have streaming data pipelines as easy as a Create Table as Select (CTAS) statement.

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Python Pipeline-centric Data Engineering Data Engineer 57

U-Next

AUGUST 17, 2022

Pipeline-centric: Pipeline-centric Data Engineers collaborate with data researchers to maximize the use of the info they gather. Data Engineers focused on pipelines require a solid understanding of decentralized technology and computer engineering. They are frequently found in midsize businesses.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

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.

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Data Analytics Banking Data Pipeline-centric 82

Data Engineering Weekly

JULY 2, 2023

Editors Note: 🔥 DEW is thrilled to announce a developer-centric Data Eng & AI conference in the tech hub of Bengaluru, India, on October 12th! LinkedIn write about Hoptimator for auto generated Flink pipeline with multiple stages of systems. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

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.

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Machine Learning Data Pipeline-centric Database-centric 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.”

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Pipeline-centric Coding Database-centric Accessible 130

The Modern Data Company

DECEMBER 29, 2022

This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels. Next, the wealth management industry is also shifting away from a product focus to a client-centric model. Data will enable this industry to shift to scalable solutions and ensure greater customer loyalty.

Banking 52

Banking Pipeline-centric Building Finance 52

LinkedIn Engineering

DECEMBER 8, 2022

The overall hybrid logic is rearranged and refactored so that the platform-centric logic and the tenant-centric logic are carved apart. The system class loader is used within the platform-centric logic and the private class loaders are used within the tenant-centric logic.

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Pipeline-centric Management Cloud Data 57

Pipeline Data Engineering

MARCH 2, 2022

Make Your Workflows Better With This Classic Unix Tool Adam Green, Data Engineer, Gridcognition Make and Makefiles for data pipelines. Unbiggen AI Andrew Ng, Founder and CEO, Landing AI "It’s time for smart-sized, “data-centric” solutions to big issues." What the hell happened?

Data 52

Data Pipeline-centric BI Data Engineering 52

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 105

Data Pipeline Data Engineering Data Engineer Engineering 105

Data Engineering Weekly

JANUARY 8, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Pipelines for data in motion can quickly turn into DAG hell. Sign up free to test out the tool today.

Data Engineering 40

Data Engineering Data Engineer Engineering Data 40

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.

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Data Engineering Data Engineer Engineering Pipeline-centric 52

DareData

JULY 29, 2020

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

Data Pipeline 52

Data Pipeline Healthcare Data Pipeline-centric 52

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.

Data 74

Data Pipeline-centric Unstructured Data Python 74

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.

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Data Pipeline-centric Data Engineering Data Engineer 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.

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Data SQL Python Algorithm 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.

Data 130

Data SQL Python Algorithm 130

Meltano

JANUARY 25, 2023

He compared the SQL + Jinja approach to the early PHP era… […] “If you take the dataframe-centric approach, you have much more “proper” objects, and programmatic abstractions and semantics around datasets, columns, and transformations.

SQL 52

SQL Data Data Engineering Data Engineer 52

Databand.ai

JULY 19, 2023

Notable Data Lineage Tools and Solutions Let’s take a look at several notable data lineage tools that can improve the quality and efficiency of your data pipeline. One of the unique features of Atlan is its human-centric design. This helps to enhance data quality, facilitate data governance, and enable regulatory compliance.

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Data Data Governance Metadata Data Pipeline 52

U-Next

SEPTEMBER 27, 2022

However, technology should generally support each stage of a pipeline on a basic level. Pipeline stages must be defined . An effective sales pipeline helps you to understand where prospects are in the sales process. Sales pipelines should reflect each organization’s unique sales approach. Territory assignment .

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Management Pipeline-centric Process Data 40

Snowflake

JUNE 28, 2023

It provides familiar APIs for various data centric tasks, including data preparation, cleansing, preprocessing, model training, and deployments tasks. In the warehouse model, users can seamlessly run and operationalize data pipelines, ML models, and data applications with user-defined functions (UDFs) and stored procedures (sprocs).

Python 52

Python Accessible Accessibility Data Engineering 52

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.

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Architecture Data Technology Metadata 130

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 87

Building Machine Learning Datasets Engineering 87

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

Knowledge Hut

FEBRUARY 27, 2023

Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. A data engineer can be a generalist, pipeline-centric, or database-centric. Who is Data Engineer, and What Do They Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

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?

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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.

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Pipeline-centric Data Analytics Pharmaceutical Data 98

Data Engineering Weekly

APRIL 2, 2023

link] Tweet Search System (EarlyBird) Design [link] Google AI: Data-centric ML benchmarking - Announcing DataPerf’s 2023 challenges Data is the new code: it is the training data that determines the maximum possible quality of an ML solution. As the author points out, it is simply not a scalable approach.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

Snowflake

AUGUST 21, 2023

The four data mesh principles Fundamentally, data mesh architectures are built on four core principles: Domain-centric ownership and architecture: The teams that work within/most closely with each respective domain are responsible for its functionality and upkeep.

Data 52

Data Architecture Pipeline-centric Government 52

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).

Data 102

Data Data Lake Hadoop Architecture 102

Ascend.io

JUNE 22, 2023

Currently, teams often adopt a platform and technology-centric approach, which tends to obscure the ultimate goal of treating data as a product. Additional Reading and Resources Dialing Down The Dollars: Quantify and Control Your Data Costs Data Pipeline vs ETL: Which Delivers More Value?

Data 52

Data Technology Pipeline-centric Data Pipeline 52

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.

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Data Process Process Data Data Lake 98

DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. When you architect for flexibility, quality, rapid deployment, and real-time data monitoring (in addition to your customer requirements), you move towards a DataOps-centric data engineering practice.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52