Cloudera

JULY 27, 2021

This is an important step for our company and for our telecommunications and media customers and partners, adding significant momentum and acceleration to our development of solutions for the industry. When it comes to Data and AI, the industry is increasingly committed to a hybrid cloud approach.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

O'Reilly Media - Data

APRIL 3, 2018

This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Data Platforms sessions. Machine learning: From data preparation and integration, to model deployment and management. Telecom sessions.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

O'Reilly Media - Data

JULY 18, 2018

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. Economic value of data. Closing thoughts.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

Agile Engine

SEPTEMBER 29, 2023

Explore Data Studio projects and expertise in-depth Learn more Business challenge: addressing subscriber churn in the video streaming industry The client engaging our ML and data engineers is a premium streaming video on demand (SVOD) network top-listed by CNET in 2023.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

CIO

APRIL 4, 2023

I get it, we live in an age of instant gratification, with Doordash and Grubhub meals on-demand, fast-paced social media and same-day Amazon Prime deliveries. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. Constructing the right data architecture cannot be bypassed.

Architecture 130

Architecture Data Analysis Construction 130

CTOvision

JANUARY 28, 2015

Our speakers have a laser-sharp focus on the data issues shaping all aspects of business, including verticals such as finance, media, retail and transportation, and government. The data industry is growing fast, and Strata + Hadoop World has grown right along with it. Data scientists. Data engineers.

Big Data 109

Big Data Case Study Conference Study 109

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

CTOvision

FEBRUARY 23, 2017

Speakers have a laser-sharp focus on the data issues shaping all aspects of business, including verticals such as finance, media, retail and transportation, and government. The data industry is growing fast, and Strata + Hadoop World has grown right along with it. Data scientists. Data engineers.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

O'Reilly Media - Ideas

JULY 1, 2019

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

Software Development 60

Software Development Artificial Inteligence Software Machine Learning 60

Altexsoft

APRIL 13, 2023

Supply chain control tower architecture: main components, integrations, and data sources As we mentioned, an SCCT is typically comprised of multiple components that handle various aspects of supply chain management. Let’s look closer at what’s there under the hood and list the main components, integrations, and data sources.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

O'Reilly Media - Ideas

JULY 28, 2020

One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Nonetheless, building a superior feature pipeline or model architecture will always be worthwhile. Modeling and Evaluation.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

O'Reilly Media - Ideas

JUNE 4, 2019

Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Software Architecture Foundations: Characteristics and Tradeoffs , July 18. Practical Linux Command Line for Data Engineers and Analysts , July 22. Analyzing Software Architecture , July 23.

Course 64

Course Training Artificial Inteligence Software Review 64

Apiumhub

APRIL 18, 2019

Since 2018, corporations such as Microsoft, Media Markt, Nestle, Lidl, Allianz, N26, Siemens and Facebook have settled there. Nowadays Architecture Trends, from Monolith to Microservices and Serverless by Alberto Salazar. Evolving a Pragmatic, Clean Architecture – A Craftsman’s Guide by Victor Rentea. See you there?

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

UruIT

JUNE 8, 2019

Data Collection and Preparation. Our data engineers access the client’s data in order to prepare, clean up and transform it towards the project’s goals. By studying and analyzing the hard data, our team will prototype, discover the most relevant features, develop models and iterate through learning algorithms.

Machine Learning 40

Machine Learning Artificial Inteligence Systems Review Software Review 40

O'Reilly Media - Ideas

FEBRUARY 11, 2019

AI and Data technologies in the cloud. Building a Serverless Big Data Application on AWS”. Architecture and Algorithms for End-to-End Streaming Data Processing”. Running multidisciplinary big data workloads in the cloud”. Here are some related talks from a few verticals: Media, Marketing, Advertising.

Big Data 85

Big Data Technology Tools Cloud 85

O'Reilly Media - Ideas

FEBRUARY 2, 2020

Collaboration between AI developers and operations teams will lead to growing pains on both sides, especially since many data scientists and AI researchers have had limited exposure to, or knowledge of, software engineering. O’Reilly Strata Data & AI Conference , San Jose, March 15-18.

Meeting 72

Meeting Conference Training Testing 72

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Organization 278

Organization Technical Review Artificial Inteligence Data 278

O'Reilly Media - Ideas

JUNE 5, 2019

Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Software Architecture Foundations: Characteristics and Tradeoffs , July 18. Practical Linux Command Line for Data Engineers and Analysts , July 22. Analyzing Software Architecture , July 23.

Course 49

Course Training Artificial Inteligence Software Review 49

O'Reilly Media - Ideas

MAY 1, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Software Architecture by Example , June 18.

Course 45

Course Training Artificial Inteligence Machine Learning 45

O'Reilly Media - Ideas

JULY 3, 2019

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML).

Machine Learning 18

Machine Learning Artificial Inteligence Tools Development 18

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Data 63

Data Software Review Technical Review Microservices 63

O'Reilly Media - Ideas

MARCH 19, 2020

Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2). It has implications for software architecture, infrastructure, and operations—for virtually all domains.

Artificial Inteligence 113

Artificial Inteligence Trends Artificial Intelligence Machine Learning 113

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

O'Reilly Media - Ideas

DECEMBER 6, 2018

These startups are using tools like cryptography, blockchains, and secure communication to build data networks that enable organizations to share data securely. In the case of deep learning, this usually means trying new neural network architectures, refining parameters, or exploring new optimization techniques.

Technology 76

Technology Artificial Inteligence Machine Learning Hardware 76

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 9, 2022

Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. An example of social media post metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Altexsoft

FEBRUARY 8, 2021

A single comment in social media can have a tremendous impact, so traditional methods are not always effective. This approach demands significant investments in software, equipment, and human resources to create advanced data architecture, but the resulting accuracy and visibility are worth paying for. Assemble the data team.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JUNE 6, 2019

On-shelf product availability is extremely important for retailers in a world where consumers can leave a bad review or share negative content on social media, including photos of empty shelving, and generally express their dissatisfaction to others in real time,” notes computer vision engineer of Fellow Robots Jagadish Mahendran. “If

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Strategy Driven

AUGUST 27, 2015

Big Data involves not just the structured data (customer name and details, products purchased, how much was spent and when, etc.) that every company is used to capturing, but also unstructured data (data scraped from the Internet and social media channels that may come in a wide variety of formats, from video to voice).

Big Data 33

Big Data Data Storage Journal 33

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 125

Weak Development Team Data Technical Review Survey 125

Altexsoft

JANUARY 22, 2020

Such a method requires sending and receiving millions bits of data at any given moment, so that you can play another Black Mirror episode on the go. Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Batch processing architectural components.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

MARCH 16, 2021

It’s referred to as big data, since, for example, just a single complete human genome sequence produces about 200 Gb of raw data. Now, we know where big data in healthcare originates. Check our article on data engineering to get a detailed understanding of the data pipeline and its components.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

O'Reilly Media - Ideas

MARCH 6, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1. Real-Time Data Foundations: Flink , April 17.

Course 10

Course Artificial Inteligence Training Microservices 10