Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

Building 93

Building Transportation Metadata Java 93

Christophe Blefari

APRIL 19, 2024

This is super interesting because it details important steps of the generative process. This blog shows how you can use Gen AI to evaluate inputs like translations with added reasons. How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private.

MySQL 130

MySQL Data Datasets SQL 130

Data Engineering Weekly

MAY 16, 2023

In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive? I won’t bore you with the importance of data quality in the blog. Let’s talk about the data processing types.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Kafka 90

Kafka Technology IT Government 90

Cloudera

OCTOBER 16, 2023

In this multi-part blog post, we’re going to show you how to use the latest Cloudera Iceberg innovation to build an Open Data Lakehouse on a private cloud. to stream ingest data sets to Iceberg. Stay tuned for part two, Data Processing with Apache Spark. and follow our Getting Started blog series.

Cloud 76

Cloud Kafka SQL Data 76

Pinterest Engineering

SEPTEMBER 12, 2023

Behind the scenes, hundreds of ML engineers iteratively improve a wide range of recommendation engines that power Pinterest, processing petabytes of data and training thousands of models using hundreds of GPUs. As model architecture building blocks (e.g. This is what we commonly refer to as Last Mile Data Processing.

Data Process 88

Data Process Process Datasets Scala 88

LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. Push for eventual success of the request.

Recruitment 88

Recruitment Data Process Process Kafka 88

Data Engineering Weekly

SEPTEMBER 24, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. Airflow isn’t meant to process the data. See how it works today.

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Netflix Tech

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Management 94

Management Kafka Metadata Media 94

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Did I Ensure That Data Does Not Conflict With Itself?

Raw Data 49

Raw Data Data Ingestion Datasets Data 49

Team Data Science

MAY 10, 2020

What's Next I'll be documenting how I build this setup in the AWS console (with screenshots). Kafka, while not in the top 5 most in demand skills, was still the most requested buffer technology requested which makes it worthwhile to include it. The remaining tech (stages 3, 4, 7 and 8) are all AWS technologies.

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

Data Engineering Weekly

DECEMBER 3, 2023

Github writes an excellent blog to capture the current state of the LLM integration architecture. link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. I experienced similar drawbacks to what Lyft is talking about in Druid.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Christophe Blefari

JANUARY 20, 2024

Every company out there has his own definition for the data engineer role. In my opinion we can easily say a data engineer is a software engineer working with data. The idea behind is to solve data problem by building software. He wrote some years ago 3 articles defining data engineering field. This is not.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Raw Data Data Collection 52

Workfall

JULY 18, 2023

But then, a game-changer emerged – DBT (Data Build Tool). With DBT’s materializations, our data transformations underwent a magical transformation themselves. In this blog, we’ll whisk you away on an enchanting journey through DBT materializations. In this blog, we will cover: What is DBT?

Datasets 77

Datasets Entertainment Data Workflow Data 77

DoorDash Engineering

APRIL 26, 2023

The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information. These suggestions save time for customers and can simplify the ordering process.

Food 98

Food Unstructured Data Deep Learning SQL 98

Cloudyard

APRIL 1, 2024

This blog post introduces a solution for automated warehouse size change monitoring and email alerts using Snowflake Streams and Tasks. Imagine you’re a data analyst managing a busy Snowflake account. You rely on a designated warehouse to handle your data processing needs.

Data Pipeline 52

Data Pipeline Utilities Coding Designing 52

Workfall

JUNE 12, 2023

So, embrace the power of Change Data Capture, and embark on a captivating journey where the magic of real-time data awaits. In this blog, we will cover: What Is CDC and Its Benefits? CDC also plays a crucial role in data integration and ETL processes. Where Is CDC Used and Who Uses It?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Data Engineering Weekly

JUNE 18, 2023

The blog narrates LLM training options, Storage & retrieval, and the value chain to use LLM in your private data. The optimization around prefetching data with a separate thread, the decision not to support complex data types, and the complexity around Avro’s sequential block read are informative to know more about Avro.

Data Engineering 52

Data Engineering Data Engineer Engineering MySQL 52

Knowledge Hut

DECEMBER 28, 2023

Obtaining the Microsoft Data Engineer certification is a strategic move that can open doors to lucrative career opportunities. In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification. Who is an Azure Data Engineer? It makes us a versatile data professional.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Data Engineering Weekly

AUGUST 13, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. But 4 years later, in 2023 — where has the data mesh gotten us?

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

Knowledge Hut

OCTOBER 26, 2023

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. You can learn how to build scalable and reliable applications, manage infrastructure using automation tools, and create efficient solutions that are cost-effective. Why is Learning AWS Important?

AWS 52

AWS Coding Project Cloud Computing 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Cloudera

MARCH 14, 2023

In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Data Pipeline 81

Data Pipeline Designing Kafka Metadata 81

Knowledge Hut

APRIL 25, 2023

Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

JUNE 29, 2020

Summary We have machines that can listen to and process human speech in a variety of languages, but dealing with unstructured sounds in our environment is a much greater challenge. I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help.

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Knowledge Hut

JUNE 30, 2023

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

SEPTEMBER 30, 2022

CDF-PC enables organizations to take control of their data flows and eliminate ingestion silos by allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination using a low-code authoring experience. automate the handling of support tickets in a call center).

Google Cloud 72

Google Cloud AWS Cloud Cloud Storage 72

Edureka

MARCH 5, 2024

Imagine building a website like Instagram. As a full stack developer, you create both what users see (like profiles and feeds) and the behind-the-scenes stuff (like storing data and handling interactions). So, being a full stack developer means being able to build a complete and user-friendly social media platform from start to finish.

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

DataKitchen

AUGUST 9, 2021

The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more. Data mesh does not replace or require any of these.

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

FEBRUARY 21, 2023

Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations. The next evolutionary shift in the data processing environment will be brought about by Spark due to its exceptional batch and streaming capabilities.

Scala 52

Scala Programming Language Java Hadoop 52

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. AWS applications allow organizations to build and deploy applications quickly with minimum resource investment, enabling them to focus on innovation and growth. ECS is mostly used in microservices architecture , batch processing, and CI/CD pipelines.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Data Engineering Weekly

FEBRUARY 18, 2024

Benn Stancil: The problem was the product - How the modern data stack got lost Generated via DallE-3 The week is full of retrospect for the Modern Data Stack :-) The author shares a unique point of view on how the lack of collaboration among the MDS companies leads to its loss of popularity. Elevate your data skills! It is true.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

ProjectPro

FEBRUARY 8, 2023

Did you know thousands of businesses, including over 80% of the Fortune 100, use Apache Kafka to modernize their data strategies? Apache Kafka is the most widely used open-source stream-processing solution for gathering, processing, storing, and analyzing large amounts of data. What is Apache Kafka Used For?

Kafka 52

Kafka Banking Medical Healthcare 52