Snowflake

OCTOBER 2, 2023

To help customers overcome these challenges, RudderStack and Snowflake recently launched Profiles , a new product that allows every data team to build a customer 360 directly in their Snowflake Data Cloud environment. Now teams can leverage their existing data engineering tools and workflows to build their customer 360.

Cloud 107

Cloud Building Insurance Data Engineering 107

Towards Data Science

AUGUST 2, 2023

A Step-by-Step Guide to Building an Effective Data Quality Strategy from Scratch How to build an interpretable data quality framework based on user expectations Photo by Rémi Müller on Unsplash As data engineers, we are (or should be) responsible for the quality of the data we provide. How much should we worry about data quality?

Building 97

Building Data Consolidation Data Datasets 97

Data Engineering Podcast

MARCH 10, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free! Data lakes are notoriously complex.

Data Lake 147

Data Lake High Quality Data Architecture Data Pipeline 147

The Pragmatic Engineer

OCTOBER 10, 2023

He’s solved interesting engineering challenges along the way, too – like building observability for Amazon’s EC2 offering, and being one of the first engineers on Uber’s observability platform. The focus seemed to shift to: invent something new → build a service for it → ship it.

Software Engineering 268

Software Engineering Software Engineer Architecture Media 268

Snowflake

OCTOBER 7, 2024

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Define an Entity: Define a Feature View: feature_df is a Snowpark DataFrame object containing your feature definition. Producers can create and modify Feature Views.

Management 81

Management Building Datasets Government 81

Data Engineering Podcast

MARCH 3, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. What are some of the useful clarifying/scoping questions to address when deciding the path to deployment for different definitions of "AI"?

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

The Pragmatic Engineer

OCTOBER 31, 2023

Diagnosis: Customers may be unable to access Cloud resources in europe-west9-a Workaround: Customers can fail over to other zones.”   I asked Google if europe-west9-a and europe-west9-c are in the same building, at least partially. Regional Spanner should have had one replica in each of the three buildings in the region.

AWS 231

AWS Google Cloud Cloud Engineering 231

Data Engineering Podcast

FEBRUARY 19, 2023

It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We feel your pain. It ends up being anything but that. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

Scott Logic

NOVEMBER 6, 2023

Embedded Accessibility is a vision of building accessible products by default. We can consider accessibility embedded when it no longer needs to be prioritised because it is already at the core of the delivery process. Our products will also be more accessible by default. Does this sound familiar?

Accessible 59

Accessible Accessibility Coding Project 59

Scott Logic

APRIL 2, 2024

There’s just one last hurdle you’ve got to overcome: accessibility testing. Well, there is… and don’t call me Shirley… Make it automatic What if I told you that you could build accessibility testing into your automated test suites so that you can make sure your pages and components are accessible from the start?

Accessible 52

Accessible Accessibility IT Coding 52

Knowledge Hut

MAY 23, 2024

As Per the Project Management Institute (PMI) definition, "Project" signifies "a temporary endeavor with a definite beginning and end." While it may look relatively simpler on the outer aspect of determining what outputs a project can have, several stacked deliverables may require definition En route to achieving the final output.

Project 52

Project Management Certification Government 52

The Pragmatic Engineer

MAY 25, 2023

Such a log would build confidence that Glassdoor is a neutral platform which is only enforcing its own terms and conditions, and could validate this. However, there’s a definite and ongoing uptick since the mid-2021. Meanwhile, Amazon has announced Bedrock, but more than a month later not even its own developers have access.

Software Engineering 315

Software Engineering Software Engineer AWS Engineering 315

Snowflake

NOVEMBER 20, 2023

Addressing the challenges of data-intensive apps Using the combined capabilities of Snowflake Native Apps and Snowpark Container Services, you can build sophisticated apps and deploy them to a customer’s account. All these platform functionalities allow for providers to build trust with their consumers when running inside Snowflake.

Utilities 99

Utilities Machine Learning Coding AWS 99

Cloudera

AUGUST 16, 2021

Apache Nifi is a powerful tool to build data movement pipelines using a visual flow designer. Ultimately these challenges force NiFi teams to spend a lot of time on managing the cluster infrastructure instead of building new data flows which slows down use case adoption. The need for a cloud-native Apache NiFi service. and later).

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

Christophe Blefari

OCTOBER 9, 2023

Gen AI 🤖 OpenAI’s plan to build the "iPhone of artificial intelligence" — Obviously this is one of the main struggle for OpenAI. Introducing Python and Jinja in Cube — Cube, an open source semantic layer, has released a new writing capabilities in Python with Jinja in the YAML definitions.

Python 130

Python Data Database Java 130

Netflix Tech

JULY 22, 2024

Since Netflix’s data tables are housed in a single data warehouse, we believe a single orchestrator should handle all workflows accessing it. A workflow definition is defined in a JSON format. Maestro combines user-supplied fields with those managed by Maestro to form a flexible and powerful orchestration definition.

Machine Learning 103

Machine Learning Coding Data Pipeline Java 103

Knowledge Hut

MAY 26, 2024

This means that you can always know exactly where your data is stored and how it is accessed. This system is designed to provide a way for applications to access data stored on a remote server without having to copy the data to the local machine. This maintains order and hierarchy when accessing data from the etcd component.

Metadata 52

Metadata Certification Accessible Accessibility 52

Data Engineering Podcast

NOVEMBER 19, 2023

Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won wisdom about how to build and scale your dbt projects. Summary The dbt project has become overwhelmingly popular across analytics and data engineering teams. Introducing RudderStack Profiles.

Project 147

Project Data Lake High Quality Data SQL 147

Netflix Tech

DECEMBER 3, 2022

This is one way to build trust with our internal user base. Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. backfill.sch.yaml ??? daily.sch.yaml ???

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Cloudera

OCTOBER 19, 2021

This presented challenges for users in building more complex multi-step pipelines that are typical of DE workflows. Multiple steps comprise the overall pipeline, which are stored as pipeline definition files in the CDE resource of the job. We want to ensure these most commonly used ones are easily accessible to the user.

Coding 121

Coding Data Engineering Data Engineer Engineering 121

Jesse Anderson

AUGUST 28, 2024

Figure 4 - Does the company definition of a team match the book’s definition? The individual contributors must meet the criteria and definitions to represent the job title. Successful data team management involves building high-performing teams, aligning data with business goals, and leveraging modern tools and processes.

Data 147

Data Consulting Big Data Data Engineering 147

Snowflake

JUNE 10, 2024

We’re excited to provide all Snowflake customers with the core building blocks needed to streamline development workflows, aligned with DevOps best practices, paving a seamless path to production. A simple pip install snowflake grants developers access, eliminating the need to juggle between SQL and Python or wrestle with cumbersome syntax.

Python 109

Python Data Pipeline SQL Database 109

Towards Data Science

MARCH 9, 2023

Thus, to facilitate our job it is possible to consolidate all the datasets into a single dataframe and create the “ city ” and “ weekday_or_weekend ” features, which definitely will be essential features to the model. Image 2— Starting the Databricks cluster. Source: The author.

Machine Learning 73

Machine Learning Building Datasets Big Data 73

Monte Carlo

FEBRUARY 23, 2024

In addition, Snow f lake Cortex enables organizations to quickly analyze data and build AI applications directly within Snowflake. GenAI will definitely make us more productive. To do that, organizations will need to allow it to access high-quality proprietary business data. The opportunities are just boundless.” Let’s chat!

Systems 64

Systems Building Retail Data Lake 64

Netflix Tech

MAY 19, 2023

By Chris Wolfe , Joey Schorr , and Victor Roldán Betancort Introduction The authorization team at Netflix recently sponsored work to add Attribute Based Access Control (ABAC) support to AuthZed’s open source Google Zanzibar inspired authorization system, SpiceDB. This is one normal relationship in SpiceDB.

PostgreSQL 102

PostgreSQL Systems Accessible Accessibility 102

Cloudera

MARCH 14, 2023

Key requirements for building data pipelines Every data pipeline starts with a business requirement. Developers who are tasked with building these data pipelines are looking for tooling that: Gives them a development environment on demand without having to maintain it.

Data Pipeline 87

Data Pipeline Designing Kafka Metadata 87

François Nguyen

MARCH 7, 2021

In this article, Juan Sequada gives maybe one of the best definition of Data Mesh ” It is paradigm shift towards a distributed architecture that attempts to find an ideal balance between centralization and decentralization of metadata and data management.” You will find many definitions of what a Data Domain Owner should do.

Government 130

Government Data Governance Data Metadata 130

Christophe Blefari

APRIL 21, 2023

If a model do not respect a contract it will not build. In dbt vocabulary build means run + other things. Access — you will be able to namespace models with groups and visibility. Building a ChatGPT Plugin for Medium. In dbt Core 1.5 Models visibility will be either private, protected or public.

Raw Data 130

Raw Data Data SQL Datasets 130

François Nguyen

MARCH 22, 2021

How do we build data products ? This is really for us the definition of a self serve platform. 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

Cloudera

JANUARY 21, 2022

The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Authentication is first configured to ensure that users and services can access the cluster only after proving their identities. Auditing procedures keep track of who accesses the cluster (and how).

Architecture 114

Architecture Transportation Certification Government 114

U-Next

MARCH 12, 2023

They allow us to create, delete, and modify tables. DDL commands are called Data Definition Language commands as they construct a database structure. Each category is discussed below: 1) DDL – Data Definition Language DDL commands in SQL are used to construct the database structure in the Data Definition Language.

SQL 98

SQL Database Datasets Government 98

Data Engineering Podcast

AUGUST 27, 2021

This is a fascinating and unconventional approach to working with data, so definitely give this a listen to expand your thinking about how to build your systems. Satori has built the first DataSecOps Platform that streamlines data access and security. Can you describe what Cinchy is and the story behind it?

Data Integration 100

Data Integration Architecture Data Warehouse Data Lake 100

Netflix Tech

FEBRUARY 9, 2022

But what if the script does not exist in the given path, or what if it existed initially but then Alice let Bob access her home directory and he accidentally deleted it? The important thing is that this business logic can be built in a separate repository and maintained independently from the workflow definition. Simple right?

Data Pipeline 84

Data Pipeline Management Scala Python 84

Snowflake

SEPTEMBER 19, 2023

Well, more specifically, LLaMA (Large Language Model Meta AI), along with other large language models (LLMs) that have suddenly become more open and accessible for everyday applications. And I would definitely agree that, in my mind at least, this will have a big, big impact on our world, perhaps even bigger than the internet.

Machine Learning 100

Machine Learning Unstructured Data Data Analytics Government 100

Data Engineering Podcast

JUNE 1, 2021

Summary Every part of the business relies on data, yet only a small team has the context and expertise to build and maintain workflows and data pipelines to transform, clean, and integrate it. High-growth startups use Molecula’s feature store because of its unprecedented speed, cost savings, and simplified access to all enterprise data.

Data Pipeline 100

Data Pipeline Data Warehouse Data Data Engineering 100

Snowflake

APRIL 7, 2023

This was the first year that startups had the chance to build with our Native Applications Framework (currently in private preview), and we were thrilled to see the number of entries that included a native app. Snowpark got a lot of love in this year’s Startup Challenge, too.

Raw Data 111

Raw Data Portfolio Building SQL 111

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. The team also positively impacted the lives of their customers, helping them keep in touch with their loved ones, by providing access to loans during the pandemic.

Medical 124

Medical Banking Telecommunication Government 124