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? Checklist for Done 1.

Project 52

Project IT Coding Systems 52

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. As a listener to the Data Engineering Podcast you can get a special discount of 20% off your ticket by using the promo code dataengpod20.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Knowledge Hut

JANUARY 2, 2024

You will learn how to build up Kube-state-metrics system, pull and collect metrics, deploy a Prometheus server and metrics exporters, configure alerts with Alertmanager, and create Grafana dashboards. Here are a few methods you can use to safeguard inner loops: Reduce the number of metrics your code uses.

Architecture 98

Architecture Metadata Utilities Data Collection 98

Knowledge Hut

MARCH 19, 2024

Herein lies the role of architectural design in software engineering. Software Engineer Training online will help you understand the basics before you jump into design architecture software engineering. Remarkably, studies indicate that poor design is the reason behind 75% of software project failures.

Software Engineer 52

Software Engineer Software Engineering Architecture Designing 52

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. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today! Your first 30 days are free!

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Tweag

DECEMBER 21, 2022

Some of that slowness is difficult to avoid—no matter how you slice it, typechecking and optimizing Haskell code takes a lot of work—but nobody would argue that there is not ample room for improvement. Remarkably, these gains come purely from targeted improvements to the mechanism by which GHC emits compiled code. As of version 9.6,

Coding 71

Coding Architecture Programming Designing 71

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. fix the code # fix code 7.

Systems 138

Systems Building Java Programming Language 138

Netflix Tech

SEPTEMBER 3, 2021

How can we achieve a similar functionality when designing our gRPC APIs? By default, gRPC uses protobuf as its IDL (interface definition language) and data serialization protocol. Our protobuf message definition (.proto This generated code contains classes for defined messages, together with message and field descriptors.

Designing 98

Designing Java Bytes Utilities 98

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. These objectives are attained by: Deploying apps that are well-designed, dependable, and intelligent.

Management 52

Management Certification Government Designing 52

Cloudera

OCTOBER 19, 2021

This presented challenges for users in building more complex multi-step pipelines that are typical of DE workflows. In the process several key themes emerged: Low/No-code. Writing code is error prone and requires trial and error. By far the biggest barrier for new users is creating custom Airflow DAGs. Long-tail of operators.

Coding 118

Coding Data Engineering Data Engineer Engineering 118

Data Engineering Podcast

NOVEMBER 30, 2020

However, despite all of the tools and managed distributions of those streaming engines it is still a challenge to build a robust and reliable pipeline for streaming data integration, especially if you need to expose those capabilities to non-engineers. And don’t forget to thank them for their continued support of this show!

Data Integration 100

Data Integration Coding BI Kafka 100

Knowledge Hut

FEBRUARY 7, 2023

Do you want to work as a web designer? Not sure what is the difference between web designing and web development is? Web design and web development have come a long way in the previous two decades. Just look at how far design has come in the last decade. A web designer oversees the website's appearance.

Designing 52

Designing Portfolio Education Certification 52

Data Engineering Podcast

OCTOBER 2, 2021

Summary Aerospike is a database engine that is designed to provide millisecond response times for queries across terabytes or petabytes. If you need to deal with massive data, at high velocities, in milliseconds, then Aerospike is definitely worth learning about. Can you describe what Aerospike is and the story behind it?

Building 100

Building BI Data Architecture Architecture 100

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. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today! Your first 30 days are free!

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Netflix Tech

FEBRUARY 10, 2021

Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.

Designing 92

Designing Systems Building Entertainment 92

dbt Developer Hub

APRIL 19, 2023

This tutorial aims to solve this by providing the definitive guide to dimensional modeling with dbt. Don’t repeat yourself** : Dimensions can be easily re-used with other fact tables to avoid duplication of effort and code logic. In the next part, you are going to design a dimensional model for the Sales process.

Building 145

Building PostgreSQL BI Database 145

Knowledge Hut

OCTOBER 26, 2023

Working on a few C++ projects is one of the most acceptable ways to understand how the features of C++ function behind the scenes, along with taking a web design and development course. It is a good project for you to understand the fundamentals of banking apps and code-sourcing methodologies. You can download the Source Code here.

Coding 52

Coding Project Programming Language MySQL 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

Data Engineering Podcast

MAY 13, 2021

If you want to build a warehouse that gives you both control and flexibility then you might consider building on top of the venerable PostgreSQL project. In this episode Thomas Richter and Joshua Drake share their advice on how to build a production ready data warehouse with Postgres.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 100

Data Engineering Podcast

SEPTEMBER 11, 2022

In this episode he shares the design of the project and how it fits into your development practices. Prefect is the modern Dataflow Automation platform for the modern data stack, empowering data practitioners to build, run and monitor robust pipelines at scale. Can you describe what Schemata is and the story behind it?

Systems 100

Systems Metadata Building MongoDB 100

Towards Data Science

JUNE 2, 2023

How to improve the code quality of your dbt models with unit tests and TDD All you need to know to start unit testing your dbt SQL models Photo by Christin Hume on Unsplash If you are a data or analytics engineer, you are probably comfortable writing SQL models and testing for data quality with dbt tests. Kent Beck ?

Coding 71

Coding SQL Software Engineer Software Engineering 71

Towards Data Science

MARCH 9, 2023

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. And that’s it.

Machine Learning 76

Machine Learning Building Datasets Scala 76

dbt Developer Hub

OCTOBER 11, 2022

IMPORTANT: This document serves as the temporary location for information on how to design and structure your metrics. The Semantic Layer expands the reach of dbt by coupling dbt’s mature data modeling framework with semantic definitions. What should really be our goal when determining whether logic lives in a model or a metrics?

Designing 52

Designing Finance Datasets Coding 52

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

Knowledge Hut

MAY 28, 2024

A software engineer studies, designs, develops, maintains, and retires Software. The Software comprises integrated programs designed carefully with organized instructions and codes. And engineering refers to inventing, designing, building, maintaining, and improving devices and processes using scientific and practical knowledge.

Software Engineer 96

Software Engineer Software Engineering Engineering Computer Science 96

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. But what, exactly, is a data engineering workflow?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

DoorDash Engineering

FEBRUARY 27, 2024

We designed the index to store multiple types of documents with relations between them. Path to Our Search Engine We wanted to design the new system as a horizontally scalable general-purpose search engine capable of scaling to all traffic – indexing or searching – by adding more replicas.

Engineering 130

Engineering Systems Designing Architecture 130

Monte Carlo

AUGUST 30, 2023

dbt (data build tool) is a SQL-based command-line tool that offers native testing features. More specifically, teams use dbt to write transformations as SQL queries, version control the code, and deploy transformations incrementally. In dbt, the built-in schema test `not_null` can be used to build completeness checks.

SQL 52

SQL Datasets Database High Quality Data 52

Knowledge Hut

MAY 22, 2024

Many companies and developers have adopted DevOps and SRE as their main strategies for building modern applications. Site Reliability Engineering (SRE) focuses on designing and implementing highly scalable, resilient, and dependable systems. SREs focus on supporting developers' code deployments and server deployments.

Certification 52

Certification Programming Language Python Engineering 52

Christophe Blefari

MARCH 22, 2024

On my side I'll talk about Apache Superset and what you can do to build a complete application with it. The initiative wants to be open(-source) and they provided the code on Github. Designing RAGs — A super long and detailed article about RAG. This is a nice way to mix SQL and Python code.

Electronics 130

Electronics Media Data Python 130

Knowledge Hut

JULY 7, 2023

It will help you to explore the most popular databases leveraged by organizations worldwide, write code, build real-world projects with SQL project example , and learn hands-on with cloud labs. The article also includes the SQL projects with source code so that it becomes easier to learn and understand these projects in a better way.

SQL 52

SQL Coding Project Hospitality 52

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.

Building 72

Building Database-centric Database Coding 72

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. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams.

Data Analytics 130

Data Analytics BI Computer Science SQL 130

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. Table of Contents What is a Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Christophe Blefari

MAY 18, 2023

In a nutshell the speakers share tips about warehouses sizing and design, performance optimisation with pruning, clustering and query design. uMetric manages definition, discovery, computation, verification and serving. In the current context we have to do more with less. This is a tool presentation but still it's relevant.

Data 130

Data BI Consulting Data Science 130

Striim

MARCH 22, 2023

Before we set up our environment and start building and deploying the image, let’s go through the definitions of both tools. Hashicorp Packer is an open-source Infrastructure-as-Code (IaC) tool that enables you to quickly build and deploy custom images for cloud and on-premises environments. What is HashiCorp Packer?

Google Cloud 52

Google Cloud Cloud Amazon Web Services Building 52

Data Engineering Podcast

MAY 22, 2022

In this episode Ketan Umare and Haytham Abuelfutuh share the story of the Flyte project and how their work at Union is focused on supporting and scaling the code and community that has made Flyte successful. What are the core primitives that Flyte exposes for building up complex workflows? Can you describe the architecture of Flyte?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130