Netflix Tech

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. All of these services at a later point want to annotate their objects or entities.

Algorithm 113

Algorithm Media Metadata Data Ingestion 113

KDnuggets

JANUARY 25, 2023

ChatGPT as a Python Programming Assistant • How to Use Python and Machine Learning to Predict Football Match Winners • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project • 5 Free Data Science Books You Must Read in 2023

Machine Learning 104

Machine Learning Python Programming Data Science 104

LinkedIn Engineering

JANUARY 25, 2023

Co-Authors: Xianyun Mao , Stan Xu , Rachit Kumar , Vikas R , Xia Hong , and�� Divyakumar Menghani �� As a LinkedIn member, you can subscribe to LinkedIn Premium on a monthly or annual basis. For our customers, we offer the same option for our Talent Solutions and/or Sales Navigator products. For each, LinkedIn offers subscription renewal payments. These subscription renewal payments used to go through a rule-based routing engine to selected payment gateways, which often resulted in a less-than-o

Banking 97

Banking Machine Learning Datasets Engineering 97

KDnuggets

JANUARY 25, 2023

Learn how to geolocate an IP Address or a Domain Name using the python library named Ip2geotools.

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Python 105

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data

databricks

JANUARY 25, 2023

This is a collaborative post between Databricks and Matillion. We thank David Willmer, Product Marketing at Matillion, for his contributions. As more and.

Data Warehouse 76

Data Warehouse Data 76

KDnuggets

JANUARY 25, 2023

Here's how you can do the same.

Data Science 108

Data Science Data 108

Monte Carlo

JANUARY 25, 2023

Data quality issues can be difficult to detect and fix, but performing regular testing is a crucial first step in maintaining reliable data and essential to your company’s success. In this blog post, we’ll discuss seven common data quality tests that you can perform during the ETL (Extract, Transform, Load) process to validate your data. We’ll also highlight the challenges of performing these tests and explore an alternative approach: data observability.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

Hevo

JANUARY 25, 2023

Business leaders use business intelligence (BI) to turn data into valuable insights and make strategic decisions within the company. Many organizations and enterprises are pursuing an agile business intelligence strategy to learn about market trends and enhance their services. And this strategy starts with data aggregation and integration.

ETL Tools 52

ETL Tools Business Intelligence BI Data 52

Monte Carlo

JANUARY 25, 2023

Over the past year, data contracts have taken the data world by storm as a novel approach to ensuring data quality at scale in production services. In this article, Chad Sanderson , Head of Product, Data Platform , at Convoy and creator of Data Quality Camp , introduces a new application of data contracts: in your data warehouse. In the last couple of posts , I’ve focused on implementing data contracts in production services.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

Hevo

JANUARY 25, 2023

In a data-driven economy, having higher availability and better accessibility to data can provide a competitive advantage. Therefore, organizations must understand the importance of data replication strategies to build a robust data distribution environment. With data replication, organizations can streamline the process of managing data for backups and analytics.

Data 52

Data Accessible Accessibility Process 52

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

Monte Carlo

JANUARY 25, 2023

Peer-to-peer product review site G2 just announced their top performers for Winter 2023, and we’re excited to share that Monte Carlo has received fourteen awards across the Data Monitoring and DataOps Platform categories, including Best Support , Easiest Doing Business With , and Fastest Implementation. G2 awards are based on feedback given by real users, so this recognition means the world to our team.

BI 52

BI Database Python Data 52

Snowflake

JANUARY 25, 2023

Scania is at the forefront of a more autonomous, connected, electric future for the transportation industry. Find out why its Head of Data and Information Management uses data mesh—and Snowflake—to make it a reality. Scania is a global truck, bus, and industrial engine manufacturer and offers an extensive range of related services so its customers can focus on their core business.

Transportation 52

Transportation Cloud Manufacturing High Quality Data 52

Precisely

JANUARY 25, 2023

Financial institutions are using data in a myriad of different ways, from know-your-customer (KYC) compliance to marketing insights and channel optimization, from risk assessment and fraud detection to innovative AI and machine learning initiatives. Data Integrity checks and best practices support data management as both strategic and tactical processes that enable companies to improve compliance, reduce costs, transform their customer relationships, and stay on the leading edge of innovation.

Data Integration 52

Data Integration Banking IT Machine Learning 52

Confluent

JANUARY 25, 2023

Confluent’s leading command-line tool for managing enterprise Kafka deployments and modern data flow—is now source available.

Kafka 62

Kafka Management Data 62

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

Towards Data Science

JANUARY 25, 2023

A complete cheatsheet for selecting specific models when running dbt commands Continue reading on Towards Data Science »

Data Science 61

Data Science Data Analysis Data SQL 61

Acceldata

JANUARY 25, 2023

Data observability is the most important aspect of getting enterprise data insights, and those insights are the foundation for building great data products.

Data 52

Data Building 52

ArcGIS

JANUARY 25, 2023

Discover the three new features of image and multidimensional raster analysis in the upcoming ArcGIS Pro 3.

Algorithm 52

Algorithm Data Science Data 52

Snowflake

JANUARY 25, 2023

Data, data, data. It does seem we are not only surrounded by talk about data, but by the actual data itself. We are collecting data from every nook and cranny of the universe (literally!). IoT devices in every industry; geolocation information on our phones, watches, cars, and every other mobile device; every website or app we access—all are collecting data.

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Metadata Data Pipeline Government Data 80

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

Zalando Engineering

JANUARY 25, 2023

If you are a good leader, Who talks little, They will say. When your work is done, And your aim fulfilled, “We did it ourselves” - Lao-Tse Last year, I shared how Zalando enables and supports the continued growth of our Software Engineers. The piece was written from a leadership perspective. A natural sequel to that would describe how our leaders are empowered.

Engineering 55

Engineering Management Software Engineer Software Engineering 55

Monte Carlo

JANUARY 25, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. In Part 2 of our Build vs. Buy series, Nishith Agarwal, Head of Data & ML Platforms at Lyra Health and creator of Apache Hudi, draws on his experiences at Uber and Lyra Health to share how his 5 considerations —cost, complexity, expertise, time to value, and competitive advantage—impacts t

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

Tweag

JANUARY 25, 2023

This is the first of two companion blog posts to the paper Linearly Qualified Types , published at ICFP 2021 (there is also a long version, with appendices ). These blog posts will dive into some subjects that were touched, but not elaborated on, in the paper. For more introductory content, you may be interested in my talk at ICFP. In 2018, Simon Peyton Jones was giving a Haskell Exchange’s keynote on linear types in Haskell (there is also a version of the talk on Youtube , but the audio desyncs

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Accessible Accessibility IT Process 45

Meltano

JANUARY 25, 2023

A curated list of the top 9 must read blogs on data. The data world is in turmoil and lots of exciting things happen every day, week and year. At Meltano we’re ourselves avid users of data, data engineers, data PMs, and data enthusiasts through and through. At the end of 2022 we decided to collect the blogs we enjoyed the most over the year. Happy reading!

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Pipeline-centric Database-centric Data Warehouse SQL 52

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Building