O'Reilly Media - Ideas

MARCH 1, 2023

The signals are often confusing: for example, interest in content about the “big three” cloud providers is slightly down, while interest in content about cloud migration is significantly up. These practices are rarely taught in computer science programs, and many companies are just beginning to put them to use.

Trends 134

Trends Technical Review Technology Software Review 134

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

Altexsoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

O'Reilly Media - Ideas

JANUARY 25, 2024

But to understand usage patterns, it’s important to realize that every company has its own technology stacks, and that those stacks change slowly. Companies aren’t going to throw out 20 years’ investment in PHP so they can adopt the latest popular React framework, which will probably be displaced by another popular framework next year.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Altexsoft

JANUARY 14, 2021

Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. What is a data warehouse? A data warehouse is often abbreviated as DW or DWH. In many cases, a shared-disk architecture may be enough. Scalability opportunities.

Backup 115

Backup Azure Software Review Systems Review 115

Confluent

FEBRUARY 6, 2019

So why did Uber (and many other tech companies) build its own platform and framework-independent machine learning infrastructure? This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Hu's Place - HitachiVantara

MAY 10, 2019

We’ve all received that phone call from our credit card company asking if we made a purchase in some foreign city. For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Altexsoft

DECEMBER 4, 2020

So data migration is an unavoidable challenge each company faces once in a while. Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. Three types of data migration tools. Functionality.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

AUGUST 25, 2021

Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Hence, many companies fail to derive value from it. Sentiment analysis results by Google Cloud Natural Language API. Spam detection. Statistical NLP vs deep learning.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Existek

SEPTEMBER 28, 2023

From optimizing service operations to creating AI-powered products, companies continue implementing business-specific solutions with best-in-class approaches. Developers often work with data acquisition, data cleaning, data transformation, and data augmentation.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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.” Network security, also a general topic, increased 15%.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Applying AutoML instead of the conventional, manual approach enabled the company to launch 60 ML projects utilizing 3,000 models in just three weeks. AutoML tools: general overview.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

O'Reilly Media - Ideas

MARCH 31, 2022

In December 2021 and January 2022, we asked recipients of our Data and AI Newsletters to participate in our annual survey on AI adoption. Are companies farther along in AI adoption? From that standpoint, many companies with AI in production don’t have a single AI specialist or developer. AI adoption by industry.

Enterprise 110

Enterprise Artificial Inteligence Government Budget 110

TIBCO - Connected Intelligence

APRIL 22, 2021

But this goal can be challenging for the IT groups responsible for your company’s vast technology footprint, which spans power hungry laptops, desktops, servers, and networks. Opportunity 4: Migrate to the cloud. Business-friendly data views simplify access and hide IT complexity.

Sustainability 46

Sustainability Virtualization Data Energy 46

Apiumhub

APRIL 18, 2019

The JBCNConf 2019 is a meeting point for programmers and development professionals, who meet to network and learn about the Java world and its latest developments. Alex Soto – Java Champion, Engineer @ Red Hat. David Gageot – Developer Advocate at Google Cloud. Patrick Kua – Chief Scientist at N26.

Technical Review 57

Technical Review Microservices Software Review CTO Coach 57

O'Reilly Media - Ideas

JANUARY 25, 2021

Our members are a mix of individuals (professionals, students, hobbyists) and corporate users (employees of a company with a corporate account). In practice, this means that we may have less meaningful data on the latest JavaScript frameworks or the newest programming languages. Docker and Kubernetes versus Chef and Puppet.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

O'Reilly Media - Ideas

MAY 1, 2019

Building Your LinkedIn Network , June 11. 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.

Course 46

Course Training Artificial Inteligence Machine Learning 46

CIO

AUGUST 5, 2022

Network: Network visualizations show how data sets are related to one another in a network. An example is a node-link diagram, also known as a network graph , which uses nodes and link lines to show how things are interconnected. What are some data visualization examples? It also has a mobile app.

Data 300

Data Analytics Travel Business Intelligence 300

StubHub

AUGUST 8, 2019

The next moment they’re delivering something that’s meaningful for our company and our customers. It is a relatively small company where I would be able to pick projects that I am passionate about. Bagaria: I worked on a project that is crucial for the company. They’re given autonomy and a sense of ownership?—?and

Technical Review 8

Technical Review Software Review Software Engineering Sport 8

Confluent

OCTOBER 16, 2019

Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. Ingesting the data.

Data 19

Data Training Analytics Storage 19