KDnuggets

SEPTEMBER 30, 2019

This article will introduce the different type of data sets, data object and attributes.

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Confluent

SEPTEMBER 25, 2019

In 2011, Marc Andressen wrote an article called Why Software is Eating the World. The central idea is that any process that can be moved into software, will be. This has become a kind of shorthand for the investment thesis behind Silicon Valley’s current wave of unicorn startups. It’s also a unifying idea behind the larger set of technology trends we see today, such as machine learning, IoT, ubiquitous mobile connectivity, SaaS, and cloud computing.

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Data Engineering Podcast

SEPTEMBER 30, 2019

Summary Building an end-to-end data pipeline for your machine learning projects is a complex task, made more difficult by the variety of ways that you can structure it. Kedro is a framework that provides an opinionated workflow that lets you focus on the parts that matter, so that you don’t waste time on gluing the steps together. In this episode Tom Goldenberg explains how it works, how it is being used at Quantum Black for customer projects, and how it can help you structure your own.

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Teradata

SEPTEMBER 11, 2019

AI & Deep Learning allow organizations to maximize player performance while minimizing player risk through better insights from performance and wellness data.

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Speaker: Tamara Fingerlin, Developer Advocate

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.

Data

Netflix Tech

SEPTEMBER 10, 2019

Toby Mao , Sri Sri Perangur , Colin McFarland Another day, another custom script to analyze an A/B test. Maybe you’ve done this before and have an old script lying around. If it’s new, it’s probably going to take some time to set up, right? Not at Netflix. ABlaze: The standard view of analyses in the XP UI Suppose you’re running a new video encoding test and theorize that the two new encodes should reduce play delay, a metric describing how long it takes for a video to play after you press the s

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Python Raw Data SQL Datasets 88

Airbnb Tech

SEPTEMBER 24, 2019

Scaling a Mature Data Pipeline — Managing Overhead There is often a hidden performance cost tied to the complexity of data pipelines — the overhead. In this post, we will introduce its concept, and examine the techniques we use to avoid it in our data pipelines. Author : Zachary Ennenga The view from the third floor at Airbnb HQ! Background There is often a natural evolution in the tooling, organization, and technical underpinning of data pipelines.

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Confluent

SEPTEMBER 6, 2019

First, what is event sourcing? Here’s an example. Consider your bank account: viewing it online, the first thing you notice is often the current balance. How many of us drill down to see how we got there? We probably all ask similar questions such as: What payments have cleared? Did my direct deposit hit yet? Why am I spending so much money at Sephora?

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Data Engineering Podcast

SEPTEMBER 22, 2019

Summary Object storage is quickly becoming the unifying layer for data intensive applications and analytics. Modern, cloud oriented data warehouses and data lakes both rely on the durability and ease of use that it provides. S3 from Amazon has quickly become the de-facto API for interacting with this service, so the team at MinIO have built a production grade, easy to manage storage engine that replicates that interface.

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Teradata

SEPTEMBER 29, 2019

The Teradata Certification program is celebrating its 20th anniversary! Find out how it can advance your career by making you a certified expert on Vantage.

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Programming Certification IT 66

Netflix Tech

SEPTEMBER 23, 2019

Niosha Behnam | Demand Engineering @ Netflix At Netflix we prioritize innovation and velocity in pursuit of the best experience for our 150+ million global customers. This means that our microservices constantly evolve and change, but what doesn’t change is our responsibility to provide a highly available service that delivers 100+ million hours of daily streaming to our subscribers.

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Amazon Web Services Electronics Java AWS 76

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.

Systems

Rockset

SEPTEMBER 13, 2019

What Is Grafana? Grafana is an open-source software platform for time series analytics and monitoring. You can connect Grafana to a large number of data sources, from PostgreSQL to Prometheus. Once your data source is connected, you can use a built-in query control or editor to fetch data, and build dashboards from your data source. Grafana is frequently deployed for a wide variety of use cases, including DevOps and AdTech.

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PostgreSQL SQL Building Engineering 52

KDnuggets

SEPTEMBER 24, 2019

Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.

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Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc. But deployment is just the tip of the iceberg.

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Kafka Management Cloud AWS 21

Data Engineering Podcast

SEPTEMBER 18, 2019

Summary The conventional approach to analytics involves collecting large amounts of data that can be cleaned, followed by a separate step for analysis and interpretation. Unfortunately this strategy is not viable for handling real-time, real-world use cases such as traffic management or supply chain logistics. In this episode Simon Crosby, CTO of Swim Inc., explains how the SwimOS kernel and the enterprise data fabric built on top of it enable brand new use cases for instant insights.

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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

Manufacturing

Teradata

SEPTEMBER 9, 2019

There are a lot of misperceptions about Teradata. Learn more about what Teradata Vantage really is: a cloud-first integrated data and analytics platform.

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Cloud Data Analytics Data 63

nodeSWAT

SEPTEMBER 9, 2019

Story about unexpected slowdown during AWS RDS upgrade to AWS Aurora and InnoDB adaptive hash index parameter TL;DR at the end. The parameter. MySQL 5.7 documentation about InnoDB adaptive hash index. Turning this parameter ON enables the database engine to analyze index searches and to automatically adapt to the queries/searches you are running. It does so by making custom indexes for these specific cases, in return making your queries run faster because they can now use the automatically gener

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AWS MySQL Database SQL 52

Pandora Engineering

SEPTEMBER 6, 2019

When embarking on the journey of developing a new application, a team must establish the foundational technologies upon which their… Continue reading on Algorithm and Blues »

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Programming Algorithm Technology 52

KDnuggets

SEPTEMBER 17, 2019

We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.

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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

Data Engineer

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. The significant difference today is that companies use Apache Kafka as an event streaming platform for building mission-critical infrastructures and core operations platforms. Examples include microservice architectures, mainframe integration, instant payment, fraud detection, sensor analytics, real-time monitoring, and many more—dri

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Data Engineering Podcast

SEPTEMBER 2, 2019

Summary Data professionals are working in a domain that is rapidly evolving. In order to stay current we need access to deeply technical presentations that aren’t burdened by extraneous marketing. To fulfill that need Pete Soderling and his team have been running the Data Council series of conferences and meetups around the world. In this episode Pete discusses his motivation for starting these events, how they serve to bring the data community together, and the observations that he has ma

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Building Data Database Design Media 100

Teradata

SEPTEMBER 24, 2019

Time series data is found everywhere from stock prices to public health. Vantage's Machine Learning Engine helps turn that data into answers. Find out how.

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Machine Learning Engineering Data 12

Rockset

SEPTEMBER 20, 2019

Airbnb Prices Around Major Events Operational analytics on real-time data streams requires being able to slice and dice it along all the axes that matter to people, including time and space. We can see how important it is to analyze data spatially by looking at an app that’s all about location: Airbnb. Major events in San Francisco cause huge influxes of people, and Airbnb prices increase accordingly.

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IT Data 40

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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.

Cloud

Pandora Engineering

SEPTEMBER 5, 2019

Credit: Sally Anscombe An Android Apprentice’s journey to understand Pandora’s migration from AsyncTask to newer APIs During my second month as an Android Engineer Apprentice, I was tasked with migrating AsyncTask to newer APIs. Early on, I was asked, “Do you know why we are migrating from AsyncTask?” I wracked my brain and answered shyly, “It has something to do with memory leaks?

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Computer Science Java Software Engineer Software Engineering 52

KDnuggets

SEPTEMBER 17, 2019

Lately, varying improvements over BERT have been shown — and here I will contrast the main similarities and differences so you can choose which one to use in your research or application.

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Confluent

SEPTEMBER 5, 2019

TL;DR. Following on from How to Work with Apache Kafka in Your Spring Boot Application , which shows how to get started with Spring Boot and Apache Kafka ® , here I will demonstrate how to enable usage of Confluent Schema Registry and Avro serialization format in your Spring Boot applications. Using Avro schemas, you can establish a data contract between your microservices applications.

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Kafka Java Food Cloud 20

Data Engineering Podcast

SEPTEMBER 9, 2019

Summary The first stage in every data project is collecting information and routing it to a storage system for later analysis. For operational data this typically means collecting log messages and system metrics. Often a different tool is used for each class of data, increasing the overall complexity and number of moving parts. The engineers at Timber.io decided to build a new tool in the form of Vector that allows for processing both of these data types in a single framework that is reliable an

Building 100

Building Kafka Media Data 100

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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?

Business Intelligence

Teradata

SEPTEMBER 5, 2019

4D analytics combines geospatial, temporal and time series data to do advanced analysis of time and space. Learn how to uncover new insights today.

Data 56

Data 56

Rockset

SEPTEMBER 6, 2019

"A fast-moving technology field where new tools, technologies and platforms are introduced very frequently and where it is very hard to keep up with new trends." I could be describing either the VR space or Data Engineering, but in fact this post is about the intersection of both. Virtual Reality – The Next Frontier in Media I work as a Data Engineer at a leading company in the VR space, with a mission to capture and transmit reality in perfect fidelity.

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KDnuggets

SEPTEMBER 17, 2019

The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.

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Machine Learning Algorithm Python 123

KDnuggets

SEPTEMBER 9, 2019

This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.

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Python Data Programming Data Science 123

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!

Data