O'Reilly Media - Ideas

FEBRUARY 18, 2020

The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This follows a 3% drop in 2018.

Technical Review 140

Technical Review Microservices Data Engineering Architecture 140

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

O'Reilly Media - Ideas

FEBRUARY 11, 2019

I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post.

Big Data 87

Big Data Technology Tools Cloud 87

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% I was there.)

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. 2) When data becomes information, many (incremental) use cases surface.

Trends 52

Trends Azure Conference Media 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

O'Reilly Media - Ideas

JANUARY 25, 2021

Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed. We haven’t combined data from multiple terms. AWS Lambda) only change the nature of the beast.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Apiumhub

APRIL 8, 2021

She is an expert in the data science industry, focusing on the ethics of AI and how to use social data for reinforcement learning and predicting outcomes. She shares her knowledge by speaking at summits and conferences as well as on podcasts. Vin Vashishta. Ken is a master in sports analytics.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

O'Reilly Media - Ideas

JANUARY 25, 2022

Content usage, whether by title or our taxonomy, is based on an internal “units viewed” metric that combines all our content forms: online training courses, books, videos, Superstream online conferences, and other new products. Keep in mind that a title like Machine Learning in the AWS Cloud would match both terms.)

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Altexsoft

NOVEMBER 10, 2021

In the paper introduced by experts from Databricks, UC Berkeley, and Stanford University at the 11th Conference on Innovative Data Systems Research (CIDR) in 2021, a lakehouse officially became a thing. Data lakehouse architecture designs. In general, a data lakehouse system will consist of five layers, namely.

Architecture 52

Architecture Data Storage Machine Learning 52

Existek

SEPTEMBER 28, 2023

Monitoring and maintenance: After deployment, AI software developers monitor the performance of the AI system, address arising issues, and update the model as needed to adapt to changing data distributions or business requirements. The update with the latest trends and technologies in the AI field is also important.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

O'Reilly Media - Ideas

MARCH 31, 2020

Shipping any machine learning system requires a huge mountain of organizational and data engineering effort, so the ultimate payoff needs to match that investment. Here are some great places to start: “ Rules of Machine Learning: Best Practices for ML Engineering” (Google). Managing Machine Learning Projects” (AWS).

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

TIBCO - Connected Intelligence

NOVEMBER 13, 2019

So how do we put data and AI to work for us; to help us address our business challenges?” . This idea of putting analytics to work to push the limits and drive extreme value appeared throughout the conference across breakout sessions, conversations among customers and partners in the expo hall, and even in the hackathon challenge. .

Data 4

Data Artificial Inteligence Analytics Healthcare 4

Daniel Bryant

SEPTEMBER 13, 2019

INDUSTRY TRENDS The importance workflows, SaaS, dev/ops, and community Earlier in the week the Datawire Ambassador team and I visited the fifth HashiConf US conference, delivered a presentation about implementing end-to-end security using Ambassador and Consul , attended many of the talks, and chatted to lots of our fellow attendees.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8