Knowledge Hut

NOVEMBER 20, 2023

The DevOps lifecycle phases are in order from left to right, with each phase building upon the last. It is about automating the process of building, testing, deploying, and maintaining applications to reduce time-to-market for new features and functionality. Operate - This version is now convenient for users to utilize.

Utilities 97

Utilities Programming Coding Designing 97

Data Engineering Podcast

NOVEMBER 6, 2022

In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

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. How have the design and goals of the system changed or evolved since you started working on it?

Data Governance 130

Data Governance Government Cloud Building 130

Knowledge Hut

MAY 6, 2024

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98

Systems Transportation Certification Healthcare 98

Engineering at Meta

DECEMBER 10, 2024

Were explaining the end-to-end systems the Facebook app leverages to deliver relevant content to people. At Facebooks scale, the systems built to support and overcome these challenges require extensive trade-off analyses, focused optimizations, and architecture built to allow our engineers to push for the same user and business outcomes.

Systems 74

Systems Architecture Engineering Data Pipeline 74

Monte Carlo

FEBRUARY 23, 2024

And this renewed focus on data quality is bringing much needed visibility into the health of technical systems. 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. The opportunities are just boundless.”

Systems 64

Systems Building Retail Data Lake 64

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. I wrote code for drivers on Windows, and started to put a basic observability system in place.

Software Engineer 268

Software Engineer Software Engineering Architecture Media 268

Data Engineering Podcast

SEPTEMBER 3, 2021

In this episode Lior Gavish, Lior Solomon, and Atul Gupte share their view of what it means to have a data platform, discuss their experiences building them at various companies, and provide advice on how to treat them like a software product. The data you’re looking for is already in your data warehouse and BI tools.

Designing 100

Designing Building SQL BI 100

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 258

Cloud Software Engineer Software Engineering Cloud Computing 258

Data Engineering Podcast

OCTOBER 2, 2021

He also discusses the technical implementation that allows for such extreme performance and how the data model contributes to the scalability of the system. If you need to deal with massive data, at high velocities, in milliseconds, then Aerospike is definitely worth learning about.

Building 100

Building BI Data Architecture Architecture 100

The Pragmatic Engineer

APRIL 19, 2023

I still remember being in a meeting where a Very Respected Engineer was explaining how they are building a project, and they said something along the lines of "and, of course, idempotency is non-negotiable." I was sceptical that any system would automatically reject resumes, because I never saw this as a hiring manager.

Software Engineer 295

Software Engineer Software Engineering Engineering Media 295

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 the skills and systems that need to be in place to effectively execute on an AI program? "AI" Your first 30 days are free!

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

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 108

Cloud Building Insurance Data Engineering 108

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

AUGUST 10, 2023

Ayhan visualized this data and observed a definite fall in all metrics: page views, visits, questions asked, votes. Q&A activity is definitely down: the company is aware of this metric taking a dive, and said they’re actively working to address it. Booking.com says a systems migration is the reason for the delay.

Retail 176

Retail Utilities Software Engineer Software Engineering 176

AltexSoft

MAY 12, 2022

The approach finds application in security systems for user authentication. Systems like Audio Analytic ‘listen’ to the events inside and outside your car, enabling the vehicle to make adjustments in order to increase a driver’s safety. Building an app for snore and teeth grinding detection. Music recognition.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Data Engineering Podcast

DECEMBER 21, 2021

Summary One of the perennial challenges of data analytics is having a consistent set of definitions, along with a flexible and performant API endpoint for querying them. a framework for building analytics APIs to power your applications and BI dashboards Interview Introduction How did you get involved in the area of data management?

Data Analytics 130

Data Analytics BI Computer Science SQL 130

DoorDash Engineering

FEBRUARY 27, 2024

We reviewed the architecture of our global search at DoorDash in early 2022 and concluded that our rapid growth meant within three years we wouldn’t be able to scale the system efficiently, particularly as global search shifted from store-only to a hybrid item-and-store search experience. latency reduction and a 75% hardware cost decrease.

Engineering 130

Engineering Systems Designing Architecture 130

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

Netflix Tech

JULY 22, 2024

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. A Maestro workflow definition comprises two main sections: properties and versioned workflow including its metadata.

Machine Learning 104

Machine Learning Coding Data Pipeline Java 104

Data Engineering Podcast

JULY 2, 2023

In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features. What is the overall lifecycle of a feature, from definition to deployment and maintenance?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

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

Zalando Engineering

MAY 13, 2024

As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. The previous article on this blog gives a wider overview of the Zalando Design System. The previous article on this blog gives a wider overview of the Zalando Design System.

Designing 59

Designing Systems Architecture Coding 59

Netflix Tech

DECEMBER 3, 2022

Thanks to the Netflix internal lineage system (built by Girish Lingappa ) Dataflow migration can then help you identify downstream usage of the table in question. This is one way to build trust with our internal user base. The main workflow definition file holds the logic of a single run, in this case one day-worth of data.

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Christophe Blefari

JANUARY 20, 2024

Every company out there has his own definition for the data engineer role. The idea behind is to solve data problem by building software. What is data engineering As I said it before data engineering is still a young discipline with many different definitions. Who are the data engineers? Is it really modern?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

OCTOBER 8, 2021

Business intelligence tools have provided this capability for years, but they don’t offer a means of exposing those metrics to other systems. Metriql is an open source project that provides a headless BI system where you can define your metrics and share them with all of your other processes.

BI 100

BI Business Intelligence SQL Data Warehouse 100

Data Engineering Podcast

MAY 22, 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. What do you see as the closest alternatives?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Knowledge Hut

MAY 26, 2024

Kubernetes is a system for managing and orchestrating containerized applications across a cluster of nodes. The system is designed to simplify life cycle management, allowing developers to focus on their application code rather than infrastructure maintenance. It was designed by Google to manage and schedule containers at scale.

Metadata 52

Metadata Certification Accessible Accessibility 52

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 would be a significant departure from its existing policy based system.

PostgreSQL 102

PostgreSQL Systems Accessible Accessibility 102

Knowledge Hut

MAY 3, 2024

Following is the authentic one-liner definition. Apache Spark is a fast and general-purpose, cluster computing system. One would find multiple definitions when you search the term Apache Spark. One would find the keywords ‘Fast’ and/or ‘In-memory’ in all the definitions. It was open-sourced in 2010 under a BSD license.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Tweag

NOVEMBER 1, 2023

The last important remaining piece to explore is the merge system. In this post, we’ll see how to use the Nickel merge system to write reusable configuration modules, and why the merge approach seems to be more adapted for modular configurations than plain functions, despite Nickel being a functional language.

Metadata 113

Metadata Programming Programming Language Coding 113

Data Engineering Weekly

JULY 28, 2024

link] Chip Huyan: Building A Generative AI Platform We can’t deny that Gen-AI is becoming an integral part of product strategy, pushing the need for platform engineering. JSON workflow definition gives flexibility to build DSL on higher-level languages like Python & Java. Meta: Introducing Llama 3.1:

Data Engineering 111

Data Engineering Data Engineer Engineering Database-centric 111

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

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. It transforms multiple financial and operational systems’ raw data into a common, friendly data model that people can understand.

Raw Data 111

Raw Data Portfolio Building SQL 111

Knowledge Hut

JUNE 9, 2024

Systems engineering is a diverse field of information technology engineering and engineering management that focuses on the design and administration of composite systems throughout their life cycles. Let's explore what is system engineer? They will manage many teams, testing, and product or system development analysis.

Systems 52

Systems Engineering Telecommunication Electronics 52

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

MAY 18, 2023

Organisations are systems with inputs and outputs and a formula. Scaling Uber metrics systems (w/ Pinot) — uMetric migration from ES to Pinot. uMetric manages definition, discovery, computation, verification and serving. The analytics goal is to model correctly business. See you soon ❤️

Data 130

Data BI Consulting Data Science 130