DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. Make Trusted Data Products with Reusable Modules : “Many organizations are operating monolithic data systems and processes that massively slow their data delivery time.” Build analytic data systems that have modular, reusable components.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

DataKitchen

AUGUST 27, 2021

DataOps is fundamentally about eliminating errors, reducing cycle time, building trust and increasing agility. The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality. Companies that do these things well will win the next business cycle.

Pharmaceutical 98

Pharmaceutical Pipeline-centric Data Lake Data Analytics 98

Pinterest Engineering

OCTOBER 31, 2023

At Pinterest, we are evolving our compute platform to provide an application-centric and fully managed compute API for the 90th percentile of use cases. Architecture PinCompute is a regional Platform-as-a-Service (PaaS) that builds on top of Kubernetes. PinPod is the basic building block for general purpose compute at Pinterest.

Architecture 96

Architecture Pipeline-centric Accessible Accessibility 96

Snowflake

AUGUST 21, 2023

In this blog post, we’ll review the core data mesh principles, highlight how both organizations and modern data platforms are putting those principles into action, and demonstrate just how achievable a secure and efficient data mesh architecture can be. It’s also crucial that teams consider the price tag of the data mesh.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Cloudera

NOVEMBER 15, 2021

This blog discusses quantifications, types, and implications of data. The activity in the field of learning with limited data is reflected in a variety of courses , workshops , reports , blogs and a large number of academic papers (a curated list of which can be found here ). Quantifications of data. Addressing the challenges of data.

Unstructured Data 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

Knowledge Hut

MARCH 22, 2024

In this blog post, I will guide you through crafting a compelling response to "Why should we hire you," provide examples, discuss “Why should we hire you answers,” and highlight common pitfalls to avoid in the process. In my previous role, I led the development of a recommendation system that improved user engagement.

Recruitment 52

Recruitment Healthcare Pipeline-centric Hospitality 52

Maxime Beauchemin

JANUARY 20, 2017

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. Example 7: Individual with experience in statistical analysis and the ability to work on a wide array of data systems. Desirous of using my outstanding skills in AWS to build robust applications of high standards.

Finance 98

Finance Business Intelligence Database-centric Certification 98

Data Engineering Podcast

MAY 7, 2023

The challenge is that most companies have a multitude of systems that contain fragments of the customer's interactions and stitching that together is complex and time consuming. 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.

Pipeline-centric 130

Pipeline-centric Data Lake Machine Learning Data Warehouse 130

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. Building a resilient and scalable solution is not always easy. It involves many moving parts, from data preparation to building indexing and query pipelines. You might be wondering, is this a good solution?

Architecture 96

Architecture Building Kafka Database-centric 96

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. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Netflix Tech

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

Process 91

Process Pipeline-centric Media Metadata 91

Towards Data Science

MAY 19, 2023

Webster’s dictionary defines Entropy in thermodynamics as a measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system’s disorder. Data engineers spend countless hours troubleshooting broken pipelines. More can be found in this blog.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

Snowflake

JUNE 28, 2023

It provides familiar APIs for various data centric tasks, including data preparation, cleansing, preprocessing, model training, and deployments tasks. In the warehouse model, users can seamlessly run and operationalize data pipelines, ML models, and data applications with user-defined functions (UDFs) and stored procedures (sprocs).

Python 52

Python Accessible Accessibility Pipeline-centric 52

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

Meltano

JANUARY 25, 2023

A curated list of the top 9 must read blogs on data. At the end of 2022 we decided to collect the blogs we enjoyed the most over the year. For the exceeding majority of businesses, this means they can and should focus on building capacity for business logic, analysis and predictions instead of data engineering. Happy reading!

Pipeline-centric 52

Pipeline-centric Database-centric Data Warehouse SQL 52

Picnic Engineering

DECEMBER 19, 2023

In this blog, we’d like to give you a glimpse into some of the major developments in Picnic Tech in 2023. This approach not only helps in maintaining system stability but also in predicting potential issues, enabling proactive measures. Join us and have a read! January: Year of OpsEx and DevEx ?‍? A setup that is working great for us!

Transportation 52

Transportation Pipeline-centric Database-centric Python 52

Cloudera

OCTOBER 17, 2023

This blog is for anyone who was interested but unable to attend the conference, or anyone interested in a quick summary of what happened there. Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity.

Database-centric 75

Database-centric Kafka Pipeline-centric Database 75

U-Next

AUGUST 17, 2022

Data Engineers create a system that gathers, handles, and transforms unprocessed data into useful information that data researchers and Data Analysts may use to evaluate it in several contexts. . Pipeline-centric: Pipeline-centric Data Engineers collaborate with data researchers to maximize the use of the info they gather.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Monte Carlo

JULY 28, 2022

These are particularly frustrating, because while they are breaking data pipelines constantly, it’s not their fault. Tight coupling Upstream data quality challenges are oftentimes a result of tight coupling between systems. In fact, most of the time they are unaware of these data quality challenges. Image courtesy of Andrew Jones.

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. What makes a good Data Pipeline?

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Cloudera

APRIL 22, 2021

Cloudera has partnered with Cisco in helping build the Cisco Validated design (CVD) for Apache Ozone. on Cisco UCS S3260 M5 Rack Server with Apache Ozone as the distributed file system for CDP. Look at details of volumes/buckets/keys/containers/pipelines/datanodes. Given a file, find out what nodes/pipeline is it part of.

Pipeline-centric 98

Pipeline-centric Data Lake Hadoop Metadata 98

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Building the KPay payment system. Pillar 1 – Business function: Payment processing pipeline.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

Knowledge Hut

JULY 7, 2023

Best Certification Courses in Full-Stack Development In this blog, we will delve into the top 20 Full-Stack Developer courses that can help you embark on this exciting career journey or take your existing skills to new heights. Looking to explore more Full-Stack Web Development Courses with certification? Keep reading! So, let's begin.

Certification 52

Certification MongoDB Database-centric Programming 52

Rockset

NOVEMBER 1, 2022

This blog outlines best practices from customers I have helped migrate from Elasticsearch to Rockset , reducing risk and avoiding common pitfalls. Elasticsearch has become ubiquitous as an index centric datastore for search and rose in tandem with the popularity of the internet and Web2.0.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

Scott Logic

NOVEMBER 6, 2023

(@kentcdodds) March 23, 2018 When Testing with Intent, we test from the perspective of a user who intends to do something in our system. Consider this illustrative example of a user story: As a user, I want to be able to log out of the system by clicking my avatar and selecting “Log out” from the displayed dropdown menu.

Accessible 52

Accessible Accessibility Coding Pipeline-centric 52

Knowledge Hut

JULY 11, 2023

Best Certification Courses in Full-Stack Development In this blog, we will delve into the top 20 Full-Stack Developer courses that can help you embark on this exciting career journey or take your existing skills to new heights. Looking to explore more Full-Stack Web Development Courses with certification? Keep reading! So, let's begin.

Certification 40

Certification MongoDB Database-centric Programming 40

Airbnb Tech

JUNE 1, 2021

On the one hand, core_data standardized table consumption and allowed users to quickly identify which tables to build upon. Furthermore, pipelines built downstream of core_data created a proliferation of duplicative and diverging metrics. Figure 1: Event sources and dimension sources are the fundamental building blocks of Minerva.

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

Databand.ai

DECEMBER 29, 2022

He has built everything from feature stores, experimentation platforms, metrics layers, and streaming platforms to analytics tools, data discovery systems, and workflow development platforms, and he believes that applying product thinking to holistic data challenges is the only way to make trustworthy decisions at scale.

BI 52

BI Consulting Data Science Data Governance 52

Databand.ai

DECEMBER 20, 2022

He is also an open-source developer at The Apache Software Foundation and the author of Hysterical , a popular blog on tech careers and topics like data, coding, and engineering. When he’s not creating videos, he might be creating his next patent to add to the 200+ he already has.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

DataKitchen

JUNE 24, 2021

Agility is absolutely the cornerstone of what DataOps presents in the build and in the run aspects of our data products.”. We took over an entire building where we co-located all the resources to ensure very high speeds, and high effectiveness of the team.” It provides the ability] to incrementally and constantly improve the system.

Pipeline-centric 84

Pipeline-centric Manufacturing Education Data Cleanse 84

phData: Data Engineering

JULY 18, 2023

This has led to the development of many different tools and platforms that provide scalable and economical solutions to work with these systems. However, before exploring the benefits and potential of the Modern Data Stack, it’s crucial to identify and understand the major challenges associated with legacy data systems.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

RandomTrees

NOVEMBER 29, 2023

Here the practice of data warehousing and warehouse system is very important and the use of right modelling techniques has become a very important factor in todays’ competitive world. In this choice, Big Data will play an important role and its choice is also inevitably crucial in the Business Intelligence and related systems.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52