Data Engineering Podcast

JULY 28, 2019

Summary The ETL pattern that has become commonplace for integrating data from multiple sources has proven useful, but complex to maintain. For a small number of sources it is a tractable problem, but as the overall complexity of the data ecosystem continues to expand it may be time to identify new ways to tame the deluge of information. In this episode Tim Ward, CEO of CluedIn, explains the idea of eventual connectivity as a new paradigm for data integration.

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Data Integration Metadata Architecture Media 100

KDnuggets

JULY 29, 2019

Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

Machine Learning 119

Machine Learning Data Science Data 119

Cloudera

JULY 10, 2019

Open source has been core to the missions of both Hortonworks and Cloudera and central to our values and culture. With more than 700 engineers in the new Cloudera, our company writes a prodigious amount of open source code each year that’s contributed to more than 30 different open source projects. We’re also a very innovative open source company, having collectively launched more than a dozen new open source projects since the founding of the two companies. .

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Consulting Kafka Project Data Science 106

Confluent

JULY 16, 2019

Have you ever realized that, according to the latest FBI report , more than 80% of all crimes are property crimes, such as burglaries? And that the FBI clearance figures indicate that only 13% of all burglaries in 2017 were cleared due to lack of witnesses and/or physical evidence? How cool would it be to build your own burglar alarm system that can alert you before the actual event takes place simply by using a few network-connected cameras and analyzing the camera images with Apache Kafka ® ,

Machine Learning 101

Machine Learning Kafka Java Datasets 101

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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

JULY 9, 2019

Integrated data and analytics has a proven track record of helping organize operations, enhance customer experience and improve revenue and market growth.

Data 104

Data 104

Netflix Tech

JULY 30, 2019

v2.0 and beyond By Anoop Panicker and Kishore Banala Conductor is a workflow orchestration engine developed and open-sourced by Netflix. If you’re new to Conductor, this earlier blogpost and the documentation should help you get started and acclimatized to Conductor. Netflix Conductor: A microservices orchestrator In the last two years since inception, Conductor has seen wide adoption and is instrumental in running numerous core workflows at Netflix.

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Metadata Media AWS Transportation 76

KDnuggets

JULY 26, 2019

Different neural network architectures excel in different tasks. This particular article focuses on crafting convolutional neural networks in Python using TensorFlow and Keras.

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Python Architecture 118

Cloudera

JULY 9, 2019

Every business aims to deliver products and services quickly and efficiently based upon customer wants and needs. Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

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Big Data Data Management Management Cloud 78

Confluent

JULY 1, 2019

This question comes up on Stack Overflow and such places a lot , so here’s something to try and help. tl;dr: You need to set advertised.listeners (or KAFKA_ADVERTISED_LISTENERS if you’re using Docker images) to the external address (host/IP) so that clients can correctly connect to it. Otherwise, they’ll try to connect to the internal host address—and if that’s not reachable, then problems ensue.

Kafka 101

Kafka Metadata AWS Bytes 101

Teradata

JULY 16, 2019

Teradata Vantage's NewSQL Engine's performance-enhancing options include column-row hybrid partitioning. Find out how to take advantage of this great feature.

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Engineering 75

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.

Data

Netflix Tech

JULY 12, 2019

By Drew Koszewnik This is the story about how the Content Setup Engineering team used Hollow, a Netflix OSS technology, to re-architect and simplify an essential component in our content pipeline?—?delivering a large amount of business value in the process. The Context Each movie and show on the Netflix service is carefully curated to ensure an optimal viewing experience.

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Datasets Kafka Architecture Computer Science 73

Data Engineering Podcast

JULY 14, 2019

Summary Successful machine learning and artificial intelligence projects require large volumes of data that is properly labelled. The challenge is that most data is not clean and well annotated, requiring a scalable data labeling process. Ideally this process can be done using the tools and systems that already power your analytics, rather than sending data into a black box.

Machine Learning 100

Machine Learning Media Cloud Data 100

KDnuggets

JULY 24, 2019

Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors (CAVs) that takes a new angle to the interpretability of deep learning models.

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Deep Learning 115

Cloudera

JULY 15, 2019

At a time when machine learning, deep learning, and artificial intelligence capture an outsize share of media attention, jobs requiring SQL skills continue to vastly outnumber jobs requiring those more advanced skills. Influential data scientists often point to SQL as the most important yet underrated skill for anyone who works with data. SQL is today—and will remain for the foreseeable future—a vital foundational skill for a wide range of data professionals working in different roles across dif

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Education Big Data Data Analysis SQL 58

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.

Manufacturing

Confluent

JULY 10, 2019

Building off part 1 where we discussed an event streaming architecture that we implemented for a customer using Apache Kafka, KSQL, and Kafka Streams, and part 2 where we discussed how Gradle helped us address the challenges we faced developing, building, and deploying the KSQL portion of our application, here in part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices.

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Kafka Java Bytes SQL 89

Teradata

JULY 28, 2019

In a cost-cutting culture, directly linking data projects to top business initiatives is a good way to keep them from getting clipped. Learn more.

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Data Project 73

Netflix Tech

JULY 1, 2019

Bringing Rich Experiences to Memory-Constrained TV Devices By Jason Munning, Archana Kumar, Kris Range Netflix has over 148M paid members streaming on more than half a billion devices spanning over 1,900 different types. In the TV space alone, there are hundreds of device types that run the Netflix app. We need to support the same rich Netflix experience on not only high-end devices like the PS4 but also memory and processor-constrained consumer electronic devices that run a similar chipset as w

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Designing Bytes Electronics Project 66

Data Engineering Podcast

JULY 8, 2019

Summary The market for data warehouse platforms is large and varied, with options for every use case. ClickHouse is an open source, column-oriented database engine built for interactive analytics with linear scalability. In this episode Robert Hodges and Alexander Zaitsev explain how it is architected to provide these features, the various unique capabilities that it provides, and how to run it in production.

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Data Warehouse MySQL Hadoop Data Lake 100

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.

Systems

KDnuggets

JULY 29, 2019

At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.

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Datasets Data 115

Pandora Engineering

JULY 29, 2019

Credit: Kanok Sulaiman Disclaimer: These are my experiences from being a Pandora software developer intern in the summer of 2019. All opinions expressed are my own, and represent no one except myself. I recently spent the last summer of my undergraduate program as an intern for Pandora Media in Oakland, CA. I gained a lot from my experience, and I’m writing this post to detail the application process, the lessons that I learned, and the company culture.

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Java Recruitment Algorithm Computer Science 52

Confluent

JULY 11, 2019

I’ve been using KSQL from Confluent since its first developer preview in 2017. Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., streaming insurance events ). Plus, I’ve also had the opportunity to deploy KSQL in some not-so-serious hobby projects (see Noise Mapping with KSQL, a Raspberry Pi and a Software-Defined Radio and ML and KSQL Let Me Know When I’ve Left the Heater Running ).

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Kafka Insurance SQL Architecture 85

Teradata

JULY 14, 2019

Analytics can help enterprises answer the toughest business questions by leveraging all of the data across an organization.

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Data 80

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.

Project

Cloud Academy

JULY 16, 2019

Designing a streaming data pipeline presents many challenges, particularly around specific technology requirements. When designing a cloud-based solution, an architect is no longer faced with the question, “How do I get this job done with the technology we have?” but rather, “What is the right technology to support my use case?” In this blog post, we will walk through some initial scoping steps and walk through an example.

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Manufacturing MySQL Data Cloud 52

Data Engineering Podcast

JULY 1, 2019

Summary Anomaly detection is a capability that is useful in a variety of problem domains, including finance, internet of things, and systems monitoring. Scaling the volume of events that can be processed in real-time can be challenging, so Paul Brebner from Instaclustr set out to see how far he could push Kafka and Cassandra for this use case. In this interview he explains the system design that he tested, his findings for how these tools were able to work together, and how they behaved at diffe

Kafka 100

Kafka Finance Media Architecture 100

KDnuggets

JULY 30, 2019

The Tensor Processing Unit (TPU) is Google's custom tool to accelerate machine learning workloads using the TensorFlow framework. Learn more about what TPUs do and how they can work for you.

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Process Machine Learning 109

Zalando Engineering

JULY 14, 2019

Project Highlights Kopf - Kubernetes Operator Pythonic Framework now supports built-in resources and can be used to write controllers of any kind (pods, namespaces, mixed), not only of custom resources. Check out the latest release for more details [link] Skipper publishes new releases weekly. Some of the important features were implemented such as support to proxy Kubernetes API server and support Kubernetes externalName services from ingress.

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AWS SQL Python Data Engineering 52

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.

Government

InData Labs

JULY 11, 2019

In the highly competitive business world of today, data reign supreme. Customer personal data, comprehensive operating statistics, sales figures, or inter-company information may play a core role in strategic decision making. It’s vital to keep an eye on the quantity and quality of data that can be captured and extracted from different web sources.

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IT Data Machine Learning Data Engineering 52

Teradata

JULY 23, 2019

Large enterprises are investing heavily in cloud-based analytics technologies. What qualities should they be looking for in these cloud vendors? Find out more.

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Cloud IT Technology 69

Advancing Analytics: Data Engineering

JULY 2, 2019

It seems these days that every person I talk to is either a scientist, engineer or architect, we’re fairly obsessed with aligning our technical roles to respected professions that denote the amount of education & training that go into it – and that’s fair given how much time & effort goes into attaining these roles… but it really doesn’t help us define them.

Business Intelligence 52

Business Intelligence Data Engineering Data Engineer Engineering 52

Confluent

JULY 24, 2019

Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka ® project that I’ve worked on posed: how is data flowing through my distributed system? Quick disclaimer: if you’re simply looking for an answer to that question, this post won’t provide that answer directly. Instead, in this post I will point you to an earlier blog post where I already answered that question and then I will focus on what should be your next question: now that I’m relying on Jaege

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Kafka Systems Bytes Project 54

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Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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