Sat.Oct 30, 2021 - Fri.Nov 05, 2021

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Airflow Timetable: Schedule your DAGs like never before

Marc Lamberti

Airflow Timetable. This new concept introduced in Airflow 2.2 is going to change your way of scheduling your data pipelines. Or I would say, you’re finally going to have all the freedom and flexibility you ever dreamt of for scheduling your DAGs. What if you want to run your DAG for specific schedule intervals with “holes” in between?

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Design Patterns for Machine Learning Pipelines

KDnuggets

ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.

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The Future of SQL: Databases Meet Stream Processing

Confluent

SQL has proven to be an invaluable asset for most software engineers building software applications. Yet, the world as we know it has changed dramatically since SQL was created in […].

SQL 132
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Exploring The Evolution And Adoption of Customer Data Platforms and Reverse ETL

Data Engineering Podcast

Summary The precursor to widespread adoption of cloud data warehouses was the creation of customer data platforms. Acting as a centralized repository of information about how your customers interact with your organization they drove a wave of analytics about how to improve products based on actual usage data. A natural outgrowth of that capability is the more recent growth of reverse ETL systems that use those analytics to feed back into the operational systems used to engage with the customer.

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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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Switching from CPUs to GPUs for NYC Taxi Fare Predictions with NVIDIA RAPIDS

Cloudera

Have you ever asked a data scientist if they wanted their code to run faster? You would probably get a more varied response asking if the earth is flat. It really isn’t any different from anything else in tech, faster is almost always better. One of the best ways to make a substantial improvement in processing time is to, if you haven’t already, switched from CPUs to GPUs.

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Data Scientist Career Path from Novice to First Job

KDnuggets

If you are beginning your data science journey, then you must be prepared to plan it out as a step-by-step process that will guide you from being a total newbie to getting your first job as a data scientist. These tips and educational resources should be useful for you and add confidence as you take that first big step.

Education 159

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Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes.

Process 98
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Accelerate Insight with Proactive Data Governance Practices

Cloudera

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Doing so and truly understanding the data is more important than ever, especially when data privacy regulations are tightening.

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ORDAINED: The Python Project Template

KDnuggets

Recently I decided to take the time to better understand the Python packaging ecosystem and create a project boilerplate template as an improvement over copying a directory tree and doing find and replace.

Python 156
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Readings in Streaming Database Systems

Confluent

What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […].

Database 121
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

Was Nikola Tesla a scientist or engineer? How about Edison? Or Da Vinci? It’s hard to give a solid answer, right? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. One discipline goes hand in hand with another. In the modern world, this distinction is even more vague. Engineers are not only the ones bearing helmets and operating on construction sites.

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Cloudera Ireland Center of Excellence Certified as a Great Place to Work

Cloudera

Today is an exciting day for Cloudera as our Ireland Centre of Excellence (COE) in Cork has been certified as a Great Place To Work. It is an outstanding achievement that is testament to the culture of Cloudera and we’re delighted that we smashed many of the set benchmarks. To achieve certification we needed a composite score of >64.5% on the Employee Engagement Survey and Culture Audit Submission.

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AI Infinite Training & Maintaining Loop

KDnuggets

Productizing AI is an infrastructure orchestration problem. In planning your solution design, you should use continuous monitoring, retraining, and feedback to ensure stability and sustainability.

Designing 156
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The vast majority of data engineers are burnt out. Those working in healthcare are no exception

DataKitchen

The post The vast majority of data engineers are burnt out. Those working in healthcare are no exception first appeared on DataKitchen.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Netflix Video Quality at Scale with Cosmos Microservices

Netflix Tech

by Christos G. Bampis , Chao Chen , Anush K. Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline. Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few.

Media 70
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#ClouderaLife Spotlight: William Dailey, Senior Technical Instructor

Cloudera

On November 11 th we celebrate Veterans and Armistice Day honoring those who have served in the military. To commemorate this special occasion, this month, we will spotlight two Clouderans who have served in the military both in the United States and the United Kingdom. For this week’s spotlight, I sat down with Clouderan William Dailey who served in the United States Navy.

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Machine Learning Safety: Unsolved Problems

KDnuggets

There remain critical challenges in machine learning that, if left resolved, could lead to unintended consequences and unsafe use of AI in the future. As an important and active area of research, roadmaps are being developed to help guide continued ML research and use toward meaningful and robust applications.

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Battle for Data Pros Heats Up as Burnout Builds

DataKitchen

The post Battle for Data Pros Heats Up as Burnout Builds first appeared on DataKitchen.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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4 Key Design Principles and Guarantees of Streaming Databases

Confluent

Classic relational database management systems (RDBMS) distribute and organize data in a relatively static storage layer. When queries are requested, they compute on the stored data and then return results […].

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A Fresh Squeeze on Data

Cloudera

Guest Author Roozbeh Aliabadi is CEO at ReadyAI. Our children have the right to be AI-educated so they can thrive intellectually, emotionally, and morally alongside AI. In the next decade or so, for most children, AI will be their co-workers, drivers, insurance agents, customer service reps, bank tellers, receptionists, radiologists, in short, a natural part of their lives.

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A First Principles Theory of Generalization

KDnuggets

Some new research from University of California, Berkeley shades some new light into how to quantify neural networks knowledge.

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Case Study: Powering Customer-Facing Dashboards at Scale Using Rockset with PostgreSQL at DataBrain

Rockset

Summary: DataBrain, a SaaS company, was using PostgreSQL through Amazon RDS to land and query incoming customer data. However, PostgreSQL couldn’t scale, quickly ingest schemaless data, or efficiently run analytics as DataBrain’s data grew. Plus, incoming customer data had a dynamic schema, making it painful and expensive for DataBrain to clean the data for PostgreSQL and run queries.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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The Data Janitor Letters - October 2021

Pipeline Data Engineering

Data engineering salon. News and interesting reads about the world of data. Eating the Cloud from Outside In Shawn Wang, Developer Experience, Temporal.io AWS is playing Chess. Cloudflare is playing Go. Why Lightspeed invested in ClickHouse: a database built for speed Gaurav Gupta, VC, Lightspeed Venture Partners $250M Series B financing of ClickHouse.

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7 Step Guide to Become a Freelance Data Scientist

ProjectPro

If you are tired of googling how to become a freelance data scientist , you need to relax because your search is finally over. In this blog, we have presented a step by step guide for becoming a freelance data scientist and a quick and easy way of getting hired as a freelance data scientist. So, take a backseat and simply continue reading our blog. With COVID-19 restrictions forcing companies to lay off their employees, millions of individuals who lost their jobs decided to navigate a freelance

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NLP for Business in the Time of BERTera: Seven Misplaced Passions

KDnuggets

This article is a brief summary of our observations on some common client misperceptions with respect to recent developments in NLP, especially the use of large-scale models and datasets.

Datasets 142
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Getting Started with Apache Spark, S3 and Rockset for Real-Time Analytics

Rockset

Apache Spark is an open-source project that was started at UC Berkeley AMPLab. It has an in-memory computing framework that allows it to process data workloads in batch and in real-time. Even though Spark is written in Scala, you can interact with Spark with multiple languages like Spark, Python, and Java. Here are some examples of the things you can do in your apps with Apache Spark: Build continuous ETL pipelines for stream processing SQL BI and analytics Do machine learning, and much more!

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Parallel Run Pattern - A Migration Technique in Microservices Architecture

Zalando Engineering

The business landscape in Zalando is growing every day. This continuous growth implies that we need to be able to cope with an ever-changing environment. Everyone with experience in software development knows that dealing with changes is a challenging problem. Especially, when the software is already working in production. Changing the software in production is like changing the tires on a car while it is still moving.

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Three Essential Elements of a Digital Fabric for Automotive

Teradata

Auto businesses must quickly evolve to become data-centric. Establishing & pulling on the digital threads that connect data through every aspect of the lifecycle of a vehicle will be critical.

Data 52
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Top Stories, Oct 25-31: How I Tripled My Income With Data Science in 18 Months; Machine Learning Model Development and Model Operations: Principles and Practices

KDnuggets

Also: What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; Learn To Reproduce Papers: Beginner’s Guide; 365 Data Science courses free until 18 November; A Guide to 14 Different Data Science Jobs.

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10 Tips to Overcome Data Engineer Burnout

DataKitchen

data.world's Bryon Jacob & DataKitchen's Chris Bergh discuss why Data Engineers are burnt out & how data teams can fix & prevent burnout with DataOps. The post 10 Tips to Overcome Data Engineer Burnout first appeared on DataKitchen.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.