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?

Accessibility 59

Accessibility Accessible Coding Project 59

Tweag

JULY 5, 2023

Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. invoke build buck2 build //starlark-rust/starlark 6.

Systems 141

Systems Building Java Programming Language 141

Knowledge Hut

DECEMBER 28, 2023

Building stable and consistent products need the integration of databases and applications. Automate your database builds from a familiar and source-controlled version. Set permissions for specific alterations to the database code to restrict access to the database. This helps in alerting developers when a build is unsuccessful.

Database 52

Database Banking Coding Technology 52

Knowledge Hut

NOVEMBER 9, 2023

The definition of Done (DoD) is the collection of deliverables like writing codes, coding comments, testing of units, integration testing, design documents, release notes etc that add verifiable and demonstrable values to project development. What is the Definition of DoD in Agile? pricing strategy). pricing strategy).

Project 52

Project IT Coding Systems 52

Snowflake

DECEMBER 18, 2023

Data clean rooms have emerged as the technology to meet this need, enabling interoperability where multiple parties can collaborate on and analyze sensitive data in a governed way without exposing direct access to the underlying data and business logic. Snowflake’s acquisition of Samooha is subject to customary closing conditions.

Cloud 116

Cloud Building Entertainment Government 116

Edureka

FEBRUARY 21, 2023

In this blog post, we’ll be exploring the definition and meaning of corporate-level strategies and frameworks you can use to ensure your success in this arena. Gaining access to key resources and personnel through strategic alliances, joint ventures or mergers/acquisitions. And how do you go about creating one?

Portfolio 52

Portfolio Certification Manufacturing Management 52

Knowledge Hut

JANUARY 31, 2024

Following the decision to acquire or build in-house, Application Management collaborates with Technical Management to produce and refine the information needed to configure, test, supervise, and enhance IT administrations. Build: This is the stage in which the real application and the operational model are created.

Management 52

Management Certification Government Designing 52

Data Engineering Podcast

MARCH 27, 2022

In this episode Balaji Ganesan shares how his experiences building and maintaining Ranger in previous roles helped him understand the needs of organizations and engineers as they define and evolve their data governance policies and practices. Can you describe what Privacera is and the story behind it?

Data Governance 130

Data Governance Government Cloud Building 130

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 98

Building Data Consolidation Data Datasets 98

Data Engineering Podcast

FEBRUARY 18, 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. To start, can you share your definition of what constitutes a "Data Lakehouse"? Your first 30 days are free!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

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 105

Cloud Building Insurance Data Engineer 105

Knowledge Hut

MARCH 20, 2024

Cloud services offer us access to extensive computing resources and services tailored to our usage over the Internet. The AWS Savings Plan is applicable to compute services but is not accessible for Amazon RDS, Redshift, and ElastiCache. These cannot be sold in the AWS Marketplace. " Identify low-risk and high-return purchases.

Cloud 52

Cloud Cloud Computing AWS Utilities 52

Monte Carlo

AUGUST 30, 2023

dbt (data build tool) is a SQL-based command-line tool that offers native testing features. In dbt, the built-in schema test `not_null` can be used to build completeness checks. You will also need to securely store and provide dbt with the necessary credentials to access your target database. Also, remember data governance.

SQL 52

SQL Datasets Database High Quality Data 52

Data Engineering Podcast

NOVEMBER 9, 2020

Summary A data catalog is a critical piece of infrastructure for any organization who wants to build analytics products, whether internal or external. While there are a number of platforms available for building that catalog, many of them are either difficult to deploy and integrate, or expensive to use at scale.

Building 100

Building PostgreSQL BI Metadata 100

Knowledge Hut

MARCH 21, 2024

It builds trust among the stakeholders, clients, and team members. 4 The project manager will have full access to these funds and doesn't require any approval. A safety net against unforeseen circumstances is built with reserves. It lets project managers respond quickly without damaging project success.

Project 52

Project Management Certification Utilities 52

Monte Carlo

AUGUST 25, 2023

But user-friendly, managed solutions are making this approach less reliant on data engineers to build capabilities from the ground up. Conversely, data lakes began incorporating warehouse-like features, such as including SQL functionality and schema definitions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

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

Monte Carlo

NOVEMBER 15, 2022

Don’t get me wrong, it’s difficult to create a data-driven culture without giving stakeholders fast access to reliable data. And to do that, it’s helpful to build a data platform to automate tedious tasks and ensure any mistakes made by a fast moving team are caught and resolved quickly.

Building 52

Building Google Cloud Data BI 52

Cloudera

NOVEMBER 13, 2024

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

Metadata 82

Metadata Management Data Governance Government 82

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

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 52

Systems Building Retail Data Lake 52

Data Engineering Podcast

MARCH 25, 2019

The CluedIn team experienced this issue first-hand in their previous roles, leading them to build a business aimed at building a managed data fabric for the enterprise. Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams.

Building 100

Building Data Lake Machine Learning Kafka 100

Ascend.io

JANUARY 2, 2024

From building the connectors to ensuring that data lands smoothly in your reporting warehouse, each step requires a nuanced understanding and strategic approach. In this article, we explore how to build a data pipeline from the ground up in six steps. But our journey doesn’t end there. What Is a Data Pipeline?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

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 74

Machine Learning Building Datasets Big Data 74

The Pragmatic Engineer

SEPTEMBER 26, 2023

This means more repositories are needed, which are fast enough to build and work with, but which increase fragmentation. Executing a build is much slower while on a call. Plus, a CPU and memory-intensive build can impact the quality of the video call, and make the local environment much less responsive.  Larger codebases.

Cloud 253

Cloud Software Engineering Software Engineer Cloud Computing 253

ProjectPro

DECEMBER 7, 2021

Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. How to Build an End-to-End Data Pipeline from Scratch?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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 102

Machine Learning Coding Data Pipeline Java 102

nodeSWAT

MARCH 30, 2016

Most web applications rely on some sort of access control to keep users from accessing information not meant for them. If authentication is a lock on the main door of the hotel, then access control is the individual access card they give to each user for accessing their room. So let’s get started.

Accessibility 52

Accessibility Accessible Systems Database 52

Monte Carlo

JANUARY 6, 2023

A data-informed product strategy Product teams are tasked with being data-informed at all stages in the product life cycle, from idea generation and product definition, to validating prototypes and building a commercially successful product. On the other hand, if the question is, “Should we build a Discover tab or something else?”

Building 52

Building Project BI Data 52

Monte Carlo

AUGUST 9, 2023

Just like DevOps applies CI/CD (Continuous Integration and Continuous Deployment) practices to software development and operations, DataOps uses CI/CD principles and automation in the building, maintaining, and scaling of data products and pipelines. In the DevOps world, teams are focused on building usable and scalable software products.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Pipeline 52

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 97

Utilities Machine Learning Coding AWS 97

Monte Carlo

APRIL 24, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. Check out Part 1 of the build vs buy guide to catch up. But answering the build versus buy question isn’t easy.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Snowflake

NOVEMBER 11, 2024

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Here’s a closer look.

Data Architecture 77

Data Architecture Architecture Data Lake Kafka 77

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

Towards Data Science

JULY 13, 2023

Building a maintainable and modular LLM application stack with Hamilton in 13 minutes LLM Applications are dataflows, use a tool specifically designed to express them LLM stacks. Hamilton is great for describing any type of dataflow , which is exactly what you’re doing when building an LLM powered application. Image from pixabay.

Building 70

Building Database-centric Database Coding 70

Netflix Tech

FEBRUARY 16, 2021

To solve the challenges mentioned above and meet our rapidly evolving business needs, we re-architected the legacy SKU catalog from the ground up and partnered with the Growth Engineering team to build a scalable SKU platform. Rule owners are responsible for making sure the requirements match the rule definition and request context.

Building 86

Building Management Metadata Entertainment 86

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