Name: Building Apache Kafka From Scratch by O'Reilly Radar in hadoop
Duration: 22 min 45 s
Description: In this episode, Ben Lorica chats with Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent, about Apache Kafka, data integration, event data, and the Internet of Things.

hadoop

Jazz Music Cool Playlist

Grab Style

Steenz is a St. Louis based cartoonist, editor, and professor. They’re the cartoonist on the Ringo Award-Nominated syndicated comic strip ‘Heart Of The City’, the co-creator of Dwayne McDuffie Award-Winning GN Archival Quality, and is featured in short story anthologies such as Eisner and Ignatz Award-Winning Elements: Fire, Mine!, and Dead Beats. Steenz also launched and edited the popular RPG periodical Rolled & Told. They participate in and create community building comics related programming, and are frequent panelist at comic cons. Steenz currently teaches cartooning at Webster University while editing comics for independent publishers.

They live with their husband and two cats, and watches a lot of esoteric social documentaries.

To learn more about Steenz: https://www.oheysteenz.com/

The link to their Kickstarter: https://www.kickstarter.com/projects/1803389958/unico-awakening-manga-by-gurihiru-and-samuel-sattin?ref=lqonqx

Andrews McMeel Universal: andrewsmcmeel.com

Books, Kids, & Creations Interview with Cartoonist Steenz

The first iPhone turns fifteen this year. Joanna Stern of the Wall Street Journal highlights how the iPhone changed us.

The iPhone Turns 15. Here's How it Changed Us.

Read by the author.

Bills pile up. Savings accounts go down. Marriages go south. Pandemics rage. Work goes off the rails. Stress goes off the charts. Suddenly, you feel powerless to calm life's chaos. It's all too much to take on by yourself. But pastor and bestselling author Max Lucado has great news for you—Help Is Here.

Now more than ever, we're all weary from the loads we carry and the challenges we face. We have questions we cannot answer and problems we cannot solve. We'd hoped that life would be an invigorating adventure or an inspiring journey. We never expected to grow so tired so quickly. But Max teaches us that we can find fresh strength and purpose in the power of the Holy Spirit.

The Bible makes more than a hundred references to the Holy Spirit, and Jesus says more about the Spirit than he does about the church, marriage, finances, and the future. But do we really know the Spirit? In Help Is Here, Max will give you the tools and encouragement you need to:

Learn who the Spirit is and how the Spirit can help
Become joyful, enthusiastic, and empowered as you draw closer to God
Confidently take on any difficulty with the power of the Spirit
Discover your unique gifts and purpose to further God's kingdom
Help Is Here reminds us that our Good Shepherd doesn't just feed us; he leads us. He does more than correct us; he directs us. God keeps us on track—and best of all, he's commissioned the Holy Spirit to guide us down the winding roads of life, wherever they may lead us.

No more walking this path alone. No more carrying weight you were not intended to bear. It's time for you to enjoy the presence of the Holy Spirit and experience the vigorous life he offers. You can rest easy knowing that Help Is Here.

HELP IS HERE by Max Lucado | Chapter One

Hey what

In this episode, Ben Lorica chats with Jay Kreps, a highly regarded data engineer and former technical lead for Online Data Infrastructure at LinkedIn, and most recently CEO/co-founder of Confluent, about Apache Kafka, data integration, event data, and the Internet of Things.

Building Apache Kafka From Scratch

Jai Ranganathan, senior director of product management at Cloudera, on trends in the Hadoop ecosystem, cloud computing, the recent surge in interest in all things real time, and hardware trends

Jai Ranganathan On Architecting Big Data Applications In The Cloud

In this episode of the O’Reilly Data Show, I spoke with Fang Yu, co-founder and CTO of DataVisor. We discussed her days as a researcher at Microsoft, the application of data science and distributed computing to security, and hiring and training data scientists and engineers for the security domain.

Using Apache Spark to Predict Attack Vectors Among Billions of Users and Trillions of Events

In this episode of the O’Reilly Data Show, O’Reilly’s online managing editor Jenn Webb speaks with Natalino Busa on the topic of predictive analytics, the challenges of feature engineering, and a new class of techniques that is enabling features to emerge from patterns within the data. They also discuss the relationship between predictive techniques and high-quality microservices, and how machine learning is being used to improve financial services.

Understanding Predictive Analytics

In this episode I spoke with Michael Franklin, co-director of UC Berkeley’s AMPLab and chair of the Department of Computer Science at the University of Chicago. AMPLab is well-known in the data community for having originated Apache Spark, Alluxio (formerly Tachyon) and many other open source tools. Today marks the start of a two-day symposium commemorating the end of AMPLab, and we took the opportunity to reflect on its impressive accomplishments.

Building the Next-Generation Big Data Analytics Stack

In this episode of the Data Show, I spoke with Jason Dai, CTO of big data technologies at Intel, and co-chair of Strata + Hadoop World Beijing. Dai and his team are prolific and longstanding contributors to the Apache Spark project. Their early contributions to Spark tended to be on the systems side and included Netty-based shuffle, a fair-scheduler, and the “yarn-client” mode. Recently, they have been contributing tools for advanced analytics. In partnership with major cloud providers in China, they’ve written implementations of algorithmic building blocks and machine learning models that let Apache Spark users scale to extremely high-dimensional models and large data sets. They achieve scalability by taking advantage of things like data sparsity and Intel’s MKL software. Along the way, they’ve gained valuable experience and insight into how companies deploy machine learning models in real-world applications.

Deep Learning for Apache Spark

En France, on n'a peut-être pas de pétrole, mais on a du sexe. Enfin, du moins, on a la langue la plus sexy - selon les sondages du monde entier, année après année. Mais au fait, pourquoi nous ? Parce qu'on est beaux et qu'on sent le fromage ? Découvrons ensemble les vraies raisons, rythmiques, phonétiques et cosmétiques, pour lesquelles pour une fois... la France gagne UNE compétition.
Sexe and sounds, le podcast de Maïa Mazaurette tous les mardis. 
Réalisation : Samuel Hirsch - Texte & voix : Maïa Mazaurette

Sex and sounds (n°3) : Le français est-il si sexy ?

Beats by Tahranchula #11 feat. Tahkid

Performance by the Cisco High School Mighty Lobo Band in 2012

March of the Belgian Paratroopers

90elf-Reporter Andreas Mann mit den letzten Minuten zwischen Borussia Dortmund und dem FC Malaga

Nachspielzeit BVB - Malaga

In the -Live- Sessions, Lottzen uses song selections of his favorite techno tracks of well-known artists and gives them a different character with his -Live- elements.

In his studio, he uses particularly programmed sequences and elements in Ableton and adds various self-designed building blocks from drum machines and synthesizers.

Lottzen-Studio-Live: NoName(2020-01-31)

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Building Apache Kafka From Scratch

O'Reilly Radar

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