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Background. Apache Kafka ® is widely used across Uber’s multiple business lines. Take the example of an Uber ride: When a user opens up the Uber app, demand and supply data are aggregated in Kafka queues to serve fare calculations. … The post Introducing uGroup: Uber’s Consumer Management Framework appeared first on Uber Engineering Blog.
Extensive out-of-the-box functionality, a large user community, and up-to-date, cloud-native features make Spring and its libraries a strong option for anchoring your Apache Kafka® and Confluent Cloud based microservices architecture. […].
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity.
Summary The market for business intelligence has been going through an evolutionary shift in recent years. One of the driving forces for that change has been the rise of analytics engineering powered by dbt. Lightdash has fully embraced that shift by building an entire open source business intelligence framework that is powered by dbt models. In this episode Oliver Laslett describes why dashboards aren’t sufficient for business analytics, how Lightdash promotes the work that you are alread
Summary The market for business intelligence has been going through an evolutionary shift in recent years. One of the driving forces for that change has been the rise of analytics engineering powered by dbt. Lightdash has fully embraced that shift by building an entire open source business intelligence framework that is powered by dbt models. In this episode Oliver Laslett describes why dashboards aren’t sufficient for business analytics, how Lightdash promotes the work that you are alread
How do you continuously process half a terabyte of data in real-time? That’s the exact question we had to answer. Leadnomics is a digital marketing company that helps companies maximize […].
It’s that time of year again… Award season! We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. . The entries are some of the most remarkable we’ve seen, giving our judges the tough task of selecting an award worthy shortlist.
Summary The focus of the past few years has been to consolidate all of the organization’s data into a cloud data warehouse. As a result there have been a number of trends in data that take advantage of the warehouse as a single focal point. Among those trends is the advent of operational analytics, which completes the cycle of data from collection, through analysis, to driving further action.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
INTRODUCTION. The evaluation of the job method determines the value of jobs at intervals a company. Various styles of jobs area unit performed by staff in a company. Some area unit is totally changed in responsibilities to every different area and a few areas similar to happiness to the same cluster. It is important to ascertain or a method to work out the relative value of work and implement clear ways to maintain the plan for equal pay in a company.
With the latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) we added new CLI capabilities that allow you to automate data flow deployments, making it easier than ever before to incorporate Apache NiFi flow deployments into your CI/CD pipelines. This blog post walks you through the data flow development lifecycle and how you can use APIs in CDP Public Cloud to fully automate your flow deployments.
Problem Recently on a client project, we wanted to use the Auto Loader functionality in Databricks to easily consume from AWS S3 into our Azure hosted data platform. The reason why we opted for Auto Loader over any other solution is because it natively exists within Databricks and allows us to quickly ingest data from Azure Storage Accounts and AWS S3 Buckets, while using the benefits of Structured Streaming to checkpoint which files it last loaded.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
If you’re looking to get hired in an entry-level data scientist job or have just gotten a few years of data science experience under your belt as a senior data scientist, one of your motivations for upskilling might be the higher than average senior data scientist salaries that you can earn across many companies worldwide. And that definitely makes sense!
We live in a truly exciting time. Everywhere we look, our data is there, readily accessible on a computer or in an app on our smartphone. However, to make this ecosystem possible, your data needs to be consistent no matter where you get it. This is the role of data synchronization, and it’s the hidden technology that powers our modern world. For businesses, data synchronization is the key driver that ensures they always have the most accurate data to power business decisions and marketing campai
We are just over one week until the UN Climate Change Conference of the Parties, COP26 convenes in Glasgow. As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest.
With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you
So many NLP books, so little time - the problem of choice arises when you want to become a better data scientist, NLP engineer, or machine learning engineer by drenching in some top NLP books. You might have come across several Blurbs written to make you buy every NLP book but not to help you choose the best books on NLP that can help you learn NLP from scratch.
Until now, the majority of the world’s data transformations have been performed on top of data warehouses, query engines, and other databases which are optimized for storing lots of data and querying them for analytics occasionally. These solutions have worked well for the batch ELT world over the past decade, where data teams are used to dealing with data that is only occasionally refreshed and analytics queries that can take minutes or even hours to complete.
When justifying a move to the cloud, one of the more challenging areas is quantifying on-premises costs. These “5 Ps” of quantifying on-premises costs will help.
Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations. Understanding the job market is a central business need for many organizations and for all HR […] The post Consulting Case Study: Job Market Analysis appeared first on WeCloudData.
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
The Apache Superset community is gradually moving all charts over to Apache ECharts, a fellow Apache Software Foundation project. In this post, we'll explore the current status of the migration for time-series charts in particular.
Introduction. According to the Merriam-Webster dictionary, the definition of upskilling is to provide a person with advanced skills through additional pieces of training. For a person to upskill is to acquire advanced skills, why are rigorous training and programs. It helps in improving job skills, which is highly recommended for a person working incorporates.
The food and grocery retail industry has changed dramatically in recent years, from new competitors through new channels to new consumer preferences, and that's to say nothing of the impact of COVID.
Client Info Our client is one of Canada’s most well-established and decorated news outlets. They have been the recipient of numerous journalism awards and have a reach of millions of readers for their print and digital content across all news categories. In the early to mid 2010s, our client began to shift its focus towards […] The post Consulting Case Study: Recommender Systems appeared first on WeCloudData.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies. A resume with one or some ML projects (listed below) will boost students' opportunities and make their resume stand out from the pile of resumes.
Introduction. Employee Value Proposition (EVP) is the unique set of benefits, compensations and rewards that an employee received in return for its valuable contribution in the form of work performance, experience and capabilities they serve to the organization. Organizations generally develop EVP for the upcoming candidates for creating branding so that candidates are attracted to that company.
Risk management in banks is undergoing a rapid transformation, accelerated by COVID, but with causes and potential impacts that go deeper. Find out more.
Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations. As organizations continue to undergo digital transformations all over the world, enterprises are experiencing pains that […] The post Consulting Case Study: Integrated AI Content Search appeared first on WeCloudData.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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