O'Reilly Media - Ideas

JULY 28, 2020

AI performance tends to degrade over time as the environment changes. For example, an AI product that helps a clothing manufacturer understand which materials to buy will become stale as fashions change. One strategy for maintaining motivation is to push for short-term bursts to beat a performance baseline. Deployment.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Altexsoft

JUNE 6, 2019

Experts from such companies as Lucidworks, Advantech, KAPUA, MindsDB, Fellow Robots, KaizenTek, Aware Corporation, XR Web, and fashion brands Hockerty and Sumissura joined the discussion. X-Mart visitors can choose from a wide range of items, including beauty products and fast-moving consumer goods, as well as fashion and apparel.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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

Netflix Tech

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 15

AWS Open Source Linux Engineering Management 15

Xebia

JULY 19, 2023

The code is the algorithm’s translation into orders that a computer can understand and perform. In machine learning, there is another ingredient: algorithms are tweaked based on the patterns in the data. The underlying data might drift — maybe a competitor enters the market, destroying the sales forecast accuracy.

Artificial Inteligence 130

Artificial Inteligence Systems Review Testing System 130

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Businesses are also looking to move to a scale-out storage model that provides dense storages along with reliability, scalability, and performance.

Data 98

Data Storage Architecture Big Data 98

Altexsoft

NOVEMBER 9, 2021

Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. Tracking vendor-related KPIs to choose suppliers and monitor their performance. Here are the principal KPIs that will allow you to evaluate and monitor your suppliers’ performance. Contract audit.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Netflix Tech

JULY 21, 2022

Specifically, if we are able to predict or analyze the Out of Memory kills, we can take device specific actions to pre-emptively lower the performance in favor of not crashing?—?aiming aiming to give the user the ultimate Netflix Experience within the “performance vs pre-emptive action” tradeoff limitations.

Machine Learning 71

Machine Learning Artificial Inteligence Systems Review Big Data 71

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

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. A Robust Security Framework.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

OpenCredo

MARCH 20, 2020

Humanising Data Security. Data is central to IT activities. It provides information about business activities, about customer behaviour and about the performance of our systems. To optimise our use of data, we need services which store it reliably, provide interfaces for analysis and automate transformation.

Cloud 40

Cloud Data Weak Development Team Compliance 40

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. Deciding on an Encoding Format.

Data 80

Data Software Review Weak Development Team Systems Review 80

Confluent

JUNE 18, 2019

Timestamp mode works in a similar fashion, but instead of using a monotonically increasing integer column, this mode tracks a timestamp column, capturing any rows in which the timestamp is greater than the time of the last poll. Bulk data import is a valuable mode for bootstrapping your system, for example.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

Cloudera

JULY 9, 2018

The three components of the data science iron triangle all have their challenges and strife. 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?

Machine Learning 41

Machine Learning Artificial Inteligence Data Analytics 41

Kentik

SEPTEMBER 24, 2015

As the volume of network metric data grows exponentially, the inadequacy of these prior approaches has become obvious. Kentik Detect, on the other hand, uses a big-data engine running on a scale-out, back-end infrastructure cluster, and is designed for either SaaS (public cloud) or on-premises (private cloud) deployment.

Network 40

Network Cloud Big Data Policies 40

O'Reilly Media - Ideas

MARCH 1, 2023

Distributed systems require designing software that can run effectively in these environments: software that’s reliable, that stays up even when some servers or networks go down, and where there are as few performance bottlenecks as possible. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 133

Trends Technical Review Technology Software Review 133

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. Now we are moving to the section, where we will discuss tools that you can use to perform data visualization. Source: chartio.com.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Coforge

AUGUST 20, 2019

While it’s fashionable to hurl banalities like “Data is the new Gasoline”, “AI is electricity”, “Build Living Systems”, and so on and so forth, however, what is important is backing the narrative with affirmative action on the ground that would include: a. How to manage data and the model?—We How to measure success?—For

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

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

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. Fine-grained Data Access Control. Capability. CDP Public Cloud.

Cloud 83

Cloud Technical Review Storage Backup 83

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 ). And with every new year, “desktop” applications look more old-fashioned.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 76

Data Analytics Government Technical Review 76

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” All three are now coming onto the map. So what can we conclude?

Trends 109

Trends Technical Review Technology Artificial Inteligence 109