Netflix Tech

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Azure 130

OpenCredo

JULY 31, 2018

In it he suggests that although a typical Agile engineering team looks to the product owner for information regarding the business value they are producing, engineers would learn more about it by working directly with actors in the rest of the enterprise. In A Seat at the Table he develops this theme much further.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Artificial Intelligence 40

O'Reilly Media - Data

SEPTEMBER 24, 2018

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. Data science is the sexy thing companies want. They're right.

Enterprise 199

Enterprise Data Big Data Disaster Recovery 199

Netflix Tech

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS 15

AWS Open Source Linux Engineering Management 15

Xebia

JULY 19, 2023

For example, if the developers behind the LLM you’re leveraging add some checks to refuse to answer a class of questions, your system might break if you don’t catch the change early. A daunting prospect The breadth and width of the issue seem daunting, especially when considering the main force behind AI systems: data scientists.

Artificial Inteligence 130

Artificial Inteligence Systems Review Testing System 130

BPM

JANUARY 18, 2019

So BPM is today another form of low-code application development. Successful organizations will differentiate themselves by ensuring the customer experience is not a fashion or an afterthought, but instead lies at the very heart of how they organize and run their business. All of them virtually not true. Phil Simpson Red Hat [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Confluent

FEBRUARY 22, 2019

The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. The repo that we maintain our Protobuf models in is used by many developers across different teams at Deliveroo, with models belonging to various services.

Data 80

Data Software Review Weak Development Team Systems Review 80

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

OpenCredo

MARCH 20, 2020

To optimise our use of data, we need services which store it reliably, provide interfaces for analysis and automate transformation. In developing and configuring these services we must walk a fine line between security and usability. Usability, because business value depends on frictionless access to data. Data Engineering.

Cloud 40

Cloud Data Weak Development Team Compliance 40

Netflix Tech

NOVEMBER 20, 2023

These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.

Windows 84

Windows Software Review Data Engineering 84

O'Reilly Media - Ideas

MARCH 1, 2023

Now developers are using AI to write software. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Practices like the use of code repositories and continuous testing are still spreading to both new developers and older IT departments.

Trends 133

Trends Technical Review Technology Software Review 133

Altexsoft

NOVEMBER 9, 2021

Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. There’s a certain evolutionary path each company takes on their way of analytical development and relying on data in strategy- and decision-making. Consolidate data. Visualize data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Netflix Tech

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. for us at Netflix, this is a combination of the device type, app session ID and software development kit version (SDK version).

Machine Learning 71

Machine Learning Artificial Inteligence Systems Review Big Data 71

Cloudera

AUGUST 24, 2020

Today we are continuing our discussion with Martin Mannion , EMEA Big Data Community lead at Deloitte and Paul Mackay, the EMEA Cloud Lead at Cloudera to look at why security and governance requirements must be tackled in the early stages of data-led use case development, thereby mitigating more work later on.

Cloud 75

Cloud Data Government Innovation 75

Confluent

JUNE 18, 2019

A common first step is using the application persistence layer to save the documents directly to the database as well as to the search engine. For small-scale projects, this technique lets the development team iterate quickly without having to scale the required infrastructure. Direct indexing.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

Cloudera

JULY 9, 2018

Only when organizations understand these challenges will they begin to harmonize and put them to work in a seamless fashion. Below we deconstruct three data science iron triangle dilemmas. How do I wrangle in my data science community? How do I govern these systems and development processes while also managing quality?

Machine Learning 41

Machine Learning Artificial Inteligence Data Analytics 41

Coforge

AUGUST 20, 2019

Many of the theories that have made Neural Networks the proverbial silver bullet for some and the weapon of mass annihilation of organic intelligence for others, had already been developed in 1960s and 70s. The remaining 10 percent of the code accounts for the other 90 percent of the development time). How to structure the team?

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Altexsoft

SEPTEMBER 20, 2019

But if we look closer at the example, we can single out that it just shows quarters in a horizontal fashion. This type of chart is basically a line chart put in a radial fashion. We will break down common issues in data analytics by the domain of the problem. Challenges concerning data preparation. Source: chartio.com.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes. Source: Databricks.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2021

Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). We haven’t combined data from multiple terms. frameworks.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

O'Reilly Media - Ideas

JANUARY 25, 2022

AI is making that transition now; we can see it in our data. What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? What does that mean, and how is it affecting software developers?

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. SQL-driven Streaming App Development. Not available. Not available.

Cloud 83

Cloud Technical Review Storage Backup 83

Cloudera

FEBRUARY 22, 2021

It builds on a foundation of technologies from CDH (Cloudera Data Hub) and HDP (Hortonworks Data Platform) technologies and delivers a holistic, integrated data platform from Edge to AI helping clients to accelerate complex data pipelines and democratize data assets.

Data 76

Data Analytics Government Technical Review 76