Cloudera

MARCH 6, 2024

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics. Add a Human To The Loop: An Introduction to RLHF & DPO.

Data Analytics 110

Data Analytics Data Technology Data Engineering 110

Christophe Blefari

DECEMBER 3, 2022

This week I had a huge amount of work to deal with and we've launched the Advent of Data , your daily spark of data in December. Modern Data Modeling: Start with the End? How DoorDash secures data transfer — This is network stuff, but still interesting for a large part of data engineers.

Kafka 130

Kafka BI Finance Data 130

Data Engineering Podcast

FEBRUARY 26, 2023

Summary There has been a lot of discussion about the practical application of data mesh and how to implement it in an organization. Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. Is a data mesh ever "done"? We feel your pain.

Building 147

Building Metadata Machine Learning Data Integration 147

Christophe Blefari

JANUARY 20, 2023

Summer in coming ( credits ) Hey, new Friday, new Data News edition. Thank you for every recommendation you do about the blog or the Data News. The current state of data This week Benjamin Rogojan livestreamed an online conference featuring awesome data voices: state of data infra.

Google Cloud 130

Google Cloud Data Hadoop Business Intelligence 130

Christophe Blefari

JANUARY 7, 2023

The blog crossed the 2000 members mark (❤️) and I won the best data science newsletter award. I talked in Robin's podcast about the newsletter and my data engineering journey. And you know what, this is the first time in 7 years of teaching that more than 80% of the class wants to become data engineer.

Data Science 130

Data Science Data BI Kafka 130

Pinterest Engineering

MARCH 20, 2024

To achieve it, we developed LinkSage, which is a Graph Neural Network (GNN) based model that learns the semantics of landing page contents. All the landing pages related to downstream models can leverage LinkSage embedding as a key input. This helps to train a model generic to new contents.

Machine Learning 73

Machine Learning Engineering Software Engineer Software Engineering 73

Christophe Blefari

JANUARY 27, 2023

My view from the train window ( credits ) Dear Data News readers it's a joy every week to write this newsletter, we are slowly approaching the second birthday of this newsletter. In order to celebrate this together I'd love to receive your stories about data —can be short or long, anonymous or not.

Data 130

Data Algorithm Data Pipeline SQL 130

Knowledge Hut

MARCH 19, 2024

Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

Towards Data Science

JULY 10, 2023

A simple framework for building dbt models that actually get used. When I was researching the Ultimate Guide to dbt , I was shocked by the lack of material around actually building models from scratch. Not the exact steps to take in the tool — that is all covered in innumerable blogs and tutorials.

Designing 98

Designing Electronics Coding Engineering 98

Knowledge Hut

MARCH 5, 2024

Along with the well-known advantages, I will also cover the lesser-known disadvantages of AWS in this blog. Innovation: The continual introduction of new services ensures that AWS stays at the forefront of technological advancements, fostering innovation within the cloud computing landscape. Now, let's find out what it is.

AWS 52

AWS Cloud Computing Amazon Web Services Certification 52

Pinterest Engineering

MAY 9, 2023

Erika Sun ML Engineer | Advertiser Growth Modeling Team; Ogheneovo Dibie Engineering Manager | Advertiser Growth Modeling Team Photo by Jason Blackeye on Unsplash Summary In this blog post, we describe a Machine Learning (ML) powered proactive churn prevention solution that was prototyped with our small & medium business (SMB) advertisers.

Consulting 81

Consulting Data Science Architecture Engineering 81

Data Engineering Podcast

APRIL 16, 2022

Summary Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies.

Data Engineering 100

Data Engineering Data Engineer Engineering IT 100

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Therefore, the operational cost increases linearly with the number of failed jobs.

Machine Learning 84

Machine Learning Big Data Data Engineering 84

Jesse Anderson

JUNE 7, 2022

In 2021 I had the pleasure to first get to know and speak with Zhamak Dheghani, Director of Emerging Technologies at ThoughtWorks, in season one of the Data Dream Team series. I interviewed Zhamak last season as more of an introduction to Data Mesh. This episode is different to others in the Data Dream Team series.

Generalist 130

Generalist Software Engineer Software Engineering Data 130

Knowledge Hut

NOVEMBER 27, 2023

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Edureka

MARCH 4, 2024

However, the unsung contributors behind its success are prompt engineers. In the fast-paced world of engineering, being prompt and efficient is key to success. In the fast-paced world of engineering, being prompt and efficient is key to success. Table of Contents: Introduction What Is Prompt Engineering?

Engineering 40

Engineering Portfolio Computer Science Machine Learning 40

Data Engineering Podcast

JUNE 14, 2021

Summary When you build a machine learning model, the first step is always to load your data. To speed up the process, why not build the model inside the database so that you don’t have to move the information? RudderStack’s smart customer data pipeline is warehouse-first.

Machine Learning 100

Machine Learning Database Data Warehouse Hadoop 100

Data Engineering Podcast

FEBRUARY 9, 2020

Summary Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling strategy that provides them with flexibility and speed.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Lyft Engineering

APRIL 3, 2023

This blog post focuses on the scope and the goals of the recommendation system, and explores some of the most recent changes the Rider team has made to better serve Lyft’s riders. Introduction: Scope of the Recommendation System The recommendation system covers user experiences throughout the ride journey.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

Cloudera

OCTOBER 14, 2020

Introduction. Not many other industries have such a sophisticated business model that encompasses a culture of streamlined supply chains, predictive maintenance, and unwavering customer satisfaction. Fig 1: Turbofan jet engine. Step 1: Using the training data to create a model/classifier. Airlines, in just the U.S.

Machine Learning 98

Machine Learning Building Engineering Transportation 98

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. If you hand a book to a new data engineer, what wisdom would you add to it? If you hand a book to a new data engineer, what wisdom would you add to it?

Metadata 100

Metadata Management Kafka Data Engineering 100

Data Engineering Weekly

JULY 2, 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. So, let's shape the future of Data Engineering together.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

LinkedIn Engineering

JANUARY 25, 2023

These subscription renewal payments used to go through a rule-based routing engine to selected payment gateways, which often resulted in a less-than-optimal experience. Introduction While the user experience may seem fast and smooth, the behind scene process is quite complex (as illustrated in Figure 1).

Banking 97

Banking Machine Learning Datasets Engineering 97

Lyft Engineering

NOVEMBER 29, 2023

Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Data Engineering Podcast

MAY 1, 2022

Summary Building a data platform is an iterative and evolutionary process that requires collaboration with internal stakeholders to ensure that their needs are being met. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Data Warehouse 100

Data Warehouse Data Lake Architecture Data 100

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. We (Mike Olson, Amr Awadallah, Christophe Bisciglia, and Jeff Hammerbacher) started Cloudera because we believe that data makes things that are impossible today, possible tomorrow. “We Machine Learning in the Age of Big Data.

Insurance 46

Insurance Machine Learning Data Science Big Data 46

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. What is Big Data Certification?

Big Data 52

Big Data Certification Hadoop Scala 52

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. An AI system trained on data has no context outside of that data.

Government 103

Government Hospitality Education Data Governance 103

Data Engineering Weekly

FEBRUARY 19, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Seeing a pattern similar to Data Mart emerging in ML infrastructure is interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. If you hand a book to a new data engineer, what wisdom would you add to it? Can you start by describing what you are building at Audio Analytic?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Cloudera

JANUARY 15, 2021

Introduction. Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. higher cost.

Data Warehouse 97

Data Warehouse Cloud Consulting SQL 97

Cloudera

AUGUST 3, 2022

The challenges of arbitrary code execution notwithstanding, there have been attempts to provide a stronger security model but with mixed results. Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. .

Datasets 90

Datasets BI Machine Learning Accessible 90

Data Engineering Podcast

MARCH 22, 2021

For analytical systems, the only way to provide this reliably is by implementing change data capture (CDC). Unfortunately, this is a non-trivial undertaking, particularly for teams that don’t have extensive experience working with streaming data and complex distributed systems.

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Cloudera

JANUARY 6, 2021

Introduction. Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 133

Machine Learning Data Science Database Building 133

Knowledge Hut

MARCH 26, 2024

ChatGPT, driven by OpenAI's cutting-edge language model, has revolutionized text generation with its human-like capabilities. In this blog post, I have shared 30 carefully curated prompts catering to various industries. The key to maximizing its potential lies in utilizing prompts effectively. ChatGPT Prompts [For All Jobs] 1.

Media 52

Media Finance Medical Healthcare 52

Data Engineering Podcast

JANUARY 4, 2021

Summary As more organizations are gaining experience with data management and incorporating analytics into their decision making, their next move is to adopt machine learning. As a result the feature store is becoming a required piece of the data platform. And don’t forget to thank them for their continued support of this show!

Python 100

Python Data Lake Machine Learning Computer Science 100

Knowledge Hut

NOVEMBER 19, 2023

How do they collect, process, and analyze data for you? IoT enhances our lives with the sub-discipline of Data Science for IoT. Here, Data Science courses online can help you apply what you learn in practical exercises working with real-world datasets. This is where Data Science plays a role. Cosmos DB in this case.

Data Science 52

Data Science Technology Machine Learning Big Data 52