Netflix Tech

MAY 4, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience.

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Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Analytics 83

Analytics Machine Learning Artificial Inteligence Telecommunications 83

OTS Solutions

MAY 2, 2023

In this blog, we will be discussing what the Digital Transformation process is in business and how Digital Transformation technologies can impact your business growth. Digital transformation enables business models and revenue streams to enhance operational efficiency and agility and improves customer engagement and loyalty.

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Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts.

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Netflix Tech

NOVEMBER 29, 2023

We were, however, missing the systematic ability to measure perceptual quality ( VMAF ) of HDR streams since VMAF was limited to standard dynamic range (SDR) video signals. As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. By June 2023 the entire HDR catalog was optimized.

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Perficient

DECEMBER 22, 2023

Watch, Pause and Shop: Product Placement in Streaming – The future of streaming services suggests a shift towards integrating product placement for direct purchase and personalization. Read more from Justin Racine on Perficient’s blog, and contact us to work with Justin and our team on your commerce strategy.

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OTS Solutions

DECEMBER 22, 2023

With the implementation of these technologies, you can achieve a more agile, customer-centric streamlined, and efficient business. Improved data gathering: Most businesses gather data from customers. Digital transformation is essential if your business hopes to benefit overall by implementing digital technologies.

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Netflix Tech

JUNE 1, 2023

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. Basic with ads was launched worldwide on November 3rd.

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AWS Machine Learning - AI

JANUARY 9, 2024

Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond. In either case, rather than waiting for the full response, you can adopt the approach of response streaming for your inferences, which sends back chunks of information as soon as they are generated.

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Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. With the emergence of new technologies, including privacy enhancing techniques (PETs) that further protect the customer, monetizing data has become more accessible than ever before.

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Data Banking Culture Retail 69

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

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Cloudera

JANUARY 19, 2022

We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 Cloudera SQL Stream Builder was initially released in CSA 1.3. Since then, we have seen great traction and a number of production implementations spanning from medium to extremely large in size. We plan future blog posts on this workflow.

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Cloudera

MAY 13, 2021

Are you using the right stream processing engine for the job at hand? but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Each stream processing engine comes with its own set of functional aspects. Consideration #3: Implementation and beyond.

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Cloudera

FEBRUARY 22, 2023

Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. As apart of Cloudera Streaming Analytics it enables users to easily write, run, and manage real-time SQL queries on streams with a smooth user experience, while it attempts to expose the full power of Apache Flink.

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Cloudera

MAY 1, 2023

Businesses everywhere have engaged in modernization projects with the goal of making their data and application infrastructure more nimble and dynamic. release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16 An example of a project might be a fraud detection system implemented in Flink/SSB.

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Perficient

FEBRUARY 21, 2023

It’s been an exciting journey to watch the evolution of this product, and this blog intends to amplify those insights for others. The Customer Lighthouse Program at Adobe aims to promote product adoption, glean insight into customer use cases, and gather product improvement recommendations. What is Dynamic Chat?

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Cloudera

OCTOBER 13, 2021

Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. What’s data analytics and why is everyone talking about it?”. Don’t know what data ingestion is? There’s no need to panic.

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Cloudera

SEPTEMBER 15, 2021

That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks. Fast-changing Data.

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Cloudera

JANUARY 5, 2021

Once establishing deeper knowledge of the customer, we then discussed building ‘segments of one” through localized assortments, tailored promotions, dynamic pricing, and product development that is reflective of the true needs of the customer. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant.

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Erik Bernhardsson

DECEMBER 15, 2020

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. I once ran a web shop and spent a week implementing credit card payments. Today it's 15 minutes using Stripe. So how do we think about that cost?

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Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

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Perficient

FEBRUARY 14, 2023

However, cloud technology offers a way to achieve both goals through the implementation of a comprehensive Cloud Transformation strategy. In this series of blog posts, we will explore the four pillars of a successful Cloud Transformation: Program Model, Cloud Foundations, Portfolio Transformation, and Enterprise App Migration.

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Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

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Data Architecture Analytics Government 106

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

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Tools Data Engineering Analytics Testing 75

Cloudera

FEBRUARY 17, 2021

Streaming data (or data-in-motion) is one such technology space that thrived during these times. Cloudera DataFlow (CDF), the industry’s leading real-time streaming data platform, was truly at the frontlines helping our customers find clarity with their data during these dark times.

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Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

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Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

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Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. As a leader in hybrid data, Cloudera is positioned to help organizations take on the challenge of managing and analyzing data wherever it resides.

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Architecture Strategy Data Open Source 87

Coveros

APRIL 29, 2021

As an Agile Coach, Scrum Master, and instructor, I meet and interact with many people who have used Value Stream Mapping to successfully transform product and service delivery by focusing on value delivery to their customers and eliminating waste in delivering that value. What is Value Stream Mapping?

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Openxcell

JUNE 9, 2023

All this raw information, patterns and details is collectively called Big Data. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics?

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Cloudera

FEBRUARY 8, 2021

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale.

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Netflix Tech

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

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scruminc

SEPTEMBER 22, 2021

by Jeff Sutherland | September 22, 2021 | Blog. This often plays out in these or similar questions: Does the organization have a vision and a mission to target a product or service in one of the areas of great transformation that is going on in the market today? Conceptualizing a great product or service.

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Netflix Tech

AUGUST 28, 2020

Netflix creates premium bitstreams for those titles in addition to the catalog-wide 8-bit stream profiles¹. Moreover, the encoding group of pictures (GoP) duration (or keyframe period) was constant throughout the stream causing additional inefficiency due to shot boundaries not aligning with GoP boundaries.

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Flexagon

DECEMBER 8, 2022

In his latest blog, Ash Owen, Senior Product Manager at Flexagon provides his view on the “please release me” challenges of software delivery teams. . Typically held over a long weekend, it involved a coordinated step-by-step approach to implementing the release process and production deployment.

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Confluent

FEBRUARY 6, 2019

This structure worked well for production training and deployment of many models but left a lot to be desired in terms of overhead, flexibility, and ease of use, especially during early prototyping and experimentation [where Notebooks and Python shine]. Impedance mismatch between data scientists, data engineers and production engineers.

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Machine Learning Artificial Inteligence Scalability Data Engineering 107

Hacker Earth Developers Blog

NOVEMBER 19, 2019

You walk into an interview, ready to discuss the pros and cons of using NoSQL, fine details of implementing map-reduce, and the possibilities of using the newest node library. Start with following high scalability and getting yourself a copy of Martin Klepmann’s Designing Data-Intensive Applications. Video streaming.

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