Sat.Oct 16, 2021 - Fri.Oct 22, 2021

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Tech workers warned they were going to quit. Now, the problem is spiralling out of control

DataKitchen

The post Tech workers warned they were going to quit. Now, the problem is spiralling out of control first appeared on DataKitchen.

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Introducing uGroup: Uber’s Consumer Management Framework

Uber Engineering

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.

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Spring for Apache Kafka 101

Confluent

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. […].

Kafka 130
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How to improve at SQL as a data engineer

Start Data Engineering

1. Introduction 2. SQL skills 2.1. Data modeling 2.1.1. Gathering requirements 2.1.2. Exploration 2.1.3. Modeling 2.1.4. Data storage 2.2. Data transformation 2.2.1. Transformation types 2.2.1.1. Narrow transformations 2.2.1.2. Wide transformations 2.2.2. Query planner 2.2.3. Security & Permissions 2.3. Data pipeline 2.4. Data analytics 3. Practice 4.

SQL 130
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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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5 hot new IT jobs — and why they just might stick

DataKitchen

The post 5 hot new IT jobs — and why they just might stick first appeared on DataKitchen.

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More Trending

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Data Exploration For Business Users Powered By Analytics Engineering With Lightdash

Data Engineering Podcast

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

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Using ksqlDB for Real-Time Lead Management and Reporting at Leadnomics

Confluent

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 […].

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Data Quality: Volume, interdependencies can create big problems

DataKitchen

The post Data Quality: Volume, interdependencies can create big problems first appeared on DataKitchen.

Data 98
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Our 2021 Data Impact Awards Finalists

Cloudera

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.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

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!

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Completing The Feedback Loop Of Data Through Operational Analytics With Census

Data Engineering Podcast

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.

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Job Evaluation Methods: A Simplified Guide In 3 Points

U-Next

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.

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Data Engineers are Burned Out and Calling for DataOps

DataKitchen

The post Data Engineers are Burned Out and Calling for DataOps first appeared on DataKitchen.

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How to Automate Apache NiFi Data Flow Deployments in the Public Cloud

Cloudera

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.

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Optimizing The Modern Developer Experience with Coder

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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Using Auto Loader on Azure Databricks with AWS S3

Advancing Analytics: Data Engineering

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.

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Best NLP Books- What Data Scientists Must Read in 2023?

ProjectPro

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.

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What is Data Synchronization?

Grouparoo

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

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Kafka 101: Streams Quickly Explained

Rock the JVM

Apache Kafka is the leading technology for message brokers: Kafka Streams builds a robust stateful streaming system on top of it

Kafka 52
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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The Five "Ps" of On-Prem Costs When Considering a Move to Cloud

Teradata

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.

Cloud 52
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50 Artificial Intelligence Interview Questions and Answers [2023]

ProjectPro

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. It is important to understand how data flows in the real world and what kind of AI interview questions are being discussed across companies.

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Consulting Case Study: Job Market Analysis

WeCloudData

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.

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Real-Time Data Transformations with dbt + Rockset

Rockset

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.

SQL 52
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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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The State of ECharts Time-Series Visualizations in Superset

Preset

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.

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Upskilling: A Simple Guide In 5 Points

U-Next

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.

Food 52
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Consulting Case Study: Recommender Systems

WeCloudData

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.

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How tech and connectivity can transform the role of store associates

Retail Insight

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.

Food 52
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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15 Top Machine Learning Projects for Final Year Students

ProjectPro

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.

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EVP (Employee Value Proposition): A Basic Guide (2021)

U-Next

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.

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Consulting Case Study: Integrated AI Content Search

WeCloudData

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.