Data Engineering Weekly

NOVEMBER 3, 2024

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

Data Engineering 62

Data Engineering Data Engineer Engineering Pipeline-centric 62

Snowflake

APRIL 8, 2024

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. Just as varied was the list of Snowflake tech that early-stage startups are using to drive their innovative entries.

Pipeline-centric 131

Pipeline-centric Food Healthcare Unstructured Data 131

Edureka

APRIL 22, 2025

Snowflake is completely managed, but its main focus is on the data warehouse layer, and users need to integrate with other tools for BI, ML, or ETL. Ideal for: Business-centric workflows involving fabric Snowflake = environments with a lot of developers and data engineers 2.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Data Engineering Podcast

MAY 7, 2023

Segment created the Unify product to reduce the burden of building a comprehensive view of customers and synchronizing it to all of the systems that need it. In this episode Kevin Niparko and Hanhan Wang share the details of how it is implemented and how you can use it to build and maintain rich customer profiles.

Pipeline-centric 130

Pipeline-centric Data Lake Machine Learning Data Warehouse 130

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? The next problem will be the diversity of these mini data platforms (because of the configuration) and you even go deeper in problems with managing different technologies or version.

Technology 130

Technology Architecture Google Cloud Metadata 130

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 Medical Pipeline-centric 52

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.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Ascend.io

APRIL 27, 2023

Going into the Data Pipeline Automation Summit 2023, we were thrilled to connect with our customers and partners and share the innovations we’ve been working on at Ascend. The summit explored the future of data pipeline automation and the endless possibilities it presents.

Data Pipeline 52

Data Pipeline Pipeline-centric Data Validation Data Engineering 52

ThoughtSpot

OCTOBER 18, 2024

In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. At ThoughtSpot , while Gradle has been effective, the growing complexity of our projects demanded a more sophisticated approach to understanding and optimizing our builds.

Building 52

Building Process Pipeline-centric Database-centric 52

Data Engineering Podcast

AUGUST 13, 2022

Summary Data engineers have typically left the process of data labeling to data scientists or other roles because of its nature as a manual and process heavy undertaking, focusing instead on building automation and repeatable systems. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

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. What's your question?

Pipeline-centric 100

Pipeline-centric Data Python Data Science 100

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. What is the role of a Data Engineer? Data scientists and data Analysts depend on data engineers to build these data pipelines.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

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.

Pipeline-centric 89

Pipeline-centric Professional Services BI Datasets 89

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. Our approach to building this platform is from the bottom up. Confluent’s mission.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

DataKitchen

AUGUST 27, 2021

DataOps is fundamentally about eliminating errors, reducing cycle time, building trust and increasing agility. 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.

Pharmaceutical 98

Pharmaceutical Pipeline-centric Data Analytics Data Lake 98

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. DataOS is the world’s first operating system.

Banking 52

Banking Pipeline-centric Building Finance 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

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you? Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Engineering Pipeline-centric 67

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. Try For Free → Conference Alert: Data Engineering for AI/ML This is a virtual conference at the intersection of Data and AI.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

DataKitchen

NOVEMBER 4, 2021

Your IT organization may have a permanent data lake, but data analytics teams need the ability to rapidly create insight from data. The DataKitchen Platform serves as a process hub that builds temporary analytic databases for daily and weekly ad hoc analytics work. Figure 3: Example process hub for biologic launch.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Dataquest

JANUARY 25, 2017

A data scientist is only as good as the data they have access to. Most companies store their data in variety of formats across databases and text files. This is where data engineers come in — they build pipelines that transform that data into formats that data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Towards Data Science

MAY 19, 2023

Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. The data team is constantly burning out and has a high employee turnover. Stakeholders fail to see the ROI behind expensive data initiatives.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

Ascend.io

JUNE 8, 2023

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Data pipelines Data integrity Data lineage Data stewardship Data catalog Data product costing Let’s review each one in detail.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

The Modern Data Company

JULY 29, 2024

The limited reusability of data assets further exacerbates this agility challenge. Already operating at capacity, data teams often find themselves repeating efforts, rebuilding similar data pipelines and models for each new project. As businesses grow and evolve, their data needs expand exponentially.

Data Architecture 52

Data Architecture Architecture Building Pipeline-centric 52

Monte Carlo

MARCH 28, 2024

In a nutshell, DataOps engineers are responsible not only for designing and building data pipelines, but iterating on them via automation and collaboration as well. So, does this mean you should choose DataOps engineering vs. data engineering when considering your next career move? What does a DataOps engineer do?

Engineering 75

Engineering Pipeline-centric BI Google Cloud 75

Cloudera

NOVEMBER 15, 2021

Data Cascades are said to be pervasive, to lack immediate visibility, but to eventually impact the world in a negative manner. 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.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Ascend.io

MAY 7, 2024

” Key Partnership Benefits: Cost Optimization and Efficiency : The collaboration is poised to reduce IT and data management costs significantly, including an up to 68% reduction in data stack spend and the ability to build data pipelines 7.5x ABOUT ASCEND.IO Learn more at Ascend.io or follow us @ascend_io.

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Monte Carlo

MAY 30, 2024

It can involve prompt engineering, vector databases like Pinecone , embedding vectors and semantic layers, data modeling, data orchestration, and data pipelines – all tailored for RAG. But when it’s done right, RAG can add an incredible amount of value to AI-powered data products. What is Fine Tuning?

Pipeline-centric 52

Pipeline-centric Database-centric Datasets Data Pipeline 52

Edureka

JULY 3, 2024

ADF connects to various data sources, including on-premises systems, cloud services, and SaaS applications. It then gathers and relocates information to a centralized hub in the cloud using the Copy Activity within data pipelines. Transform and Enhance the Data: Once centralized, data undergoes transformation and enrichment.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Snowflake

JUNE 28, 2023

At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. Streamlit gives data scientists and Python developers the ability to quickly turn data and models into interactive, enterprise-ready applications.

Pipeline-centric 59

Pipeline-centric Programming Language Python Government 59

Ascend.io

JUNE 21, 2023

Creating business value from the onslaught of data can feel like captaining a high-tech vessel through uncharted waters. Data teams across business areas are cranking out data sets in response to impatient business requests, while simultaneously trying to build disparate DataOps processes from scratch.

Pipeline-centric 52

Pipeline-centric Data Pipeline Metadata Data 52

Ascend.io

OCTOBER 20, 2023

The Nuances of Snowflake Costing Snowflake’s pricing strategy is an exemplification of its user-centric approach: pay for what you use. The Predictability of Pipelines In stark contrast to ad-hoc queries, pipelines are where cost optimization efforts can yield significant dividends.

Pipeline-centric 52

Pipeline-centric IT Data Pipeline Bytes 52

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Now every team can build a customer360 in Snowflake with RudderStack Profiles.

Data Engineering 52

Data Engineering Data Engineer Engineering Database-centric 52

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. Open question: how to seed data in a staging environment? Test system with A/A test. Be adaptable.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Assess the needs and goals of the business.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 2, 2023

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. Azure Data Engineers and Azure DevOps Engineers are two critical components of the Azure ecosystem for different but interconnected reasons.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Monte Carlo

JULY 15, 2021

As data pipelines become increasingly complex, investing in a data quality solution is becoming an increasingly important priority for modern data teams. But should you build it—or buy it? And for those just getting started? For your Ubers, Airbnbs, and Netflixes of the world, this is no problem.

Building 40

Building Pipeline-centric Data Engineering Data Engineer 40