O'Reilly Media - Ideas

JUNE 5, 2019

Inside Unsupervised Learning: Group Segmentation Using Clustering , August 13. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Exam AZ-300: Microsoft Azure Architect Technologies Crash Course , July 11-12. Analyzing Software Architecture , July 23. Blockchain.

Course 49

Course Training Artificial Inteligence Software Review 49

O'Reilly Media - Ideas

MAY 1, 2019

Inside Unsupervised Learning: Group Segmentation using Clustering , June 13. 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. Building Resiliency , July 11.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Existek

SEPTEMBER 28, 2023

Therefore, it’s required to obtain good skills in data science. Model selection and design: AI developers choose appropriate machine learning algorithms and neural network architectures based on the problem at hand. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

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 116

Trends Technical Review Technology Artificial Inteligence 116

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

Storage 79

Storage Cloud Azure Pharmaceuticals 79

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. 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. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

O'Reilly Media - Ideas

MARCH 1, 2023

For the purposes of this report, units viewed is always normalized to 1, where 1 is assigned to the greatest number of units in any group of topics. Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. growth over 2021.

Trends 134

Trends Technical Review Technology Software Review 134

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Altexsoft

APRIL 16, 2021

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. OLAP Cube representing data from an OLTP database in multiple dimensions. Data extraction.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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

Altexsoft

MARCH 31, 2020

When it comes to building and managing infrastructure for data movement and its strategic usage, that’s the duty of data engineers. Data pipeline components. To understand how the data pipeline works in general, let’s see what a pipeline usually consists of. Data pipeline components.

Data 76

Data Storage Analytics Data Center 76

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Altexsoft

APRIL 26, 2022

We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. Data warehousing in a nutshell. Modern data pipeline with Snowflake technology as its part. Snowflake architecture overview.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. The main technology drivers enabling cloud BI are: The ability to cost-effectively scale data storage in a single repository using cloud storage options such as Amazon S3 or Azure Data Lake Store (ADLS). Architecture patterns for the cloud.

Cloud 42

Cloud Data Storage Analytics 42

CIO

NOVEMBER 7, 2023

The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise. Some of this data might previously have been accessible to only a small number of groups or users.

Data 355

Data Artificial Inteligence Architecture Analytics 355

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. The world’s second largest HR provider, the Adecco Group relies on machine learning to reduce time-to-fill for jobs. Feature engineering and selection.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers.

Data 19

Data Training Analytics Storage 19

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 109

Data Engineering Engineering Data Storage 109

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

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? Results in each group of topics are normalized to 1, so items within the same group can be compared (Java to Python but not Java to Ethereum, for example). This report is about those transitions. O’Reilly Answers.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

O'Reilly Media - Ideas

JANUARY 25, 2021

We suspect that the latter group is somewhat more conservative than the former. In practice, this means that we may have less meaningful data on the latest JavaScript frameworks or the newest programming languages. Usage and query data for each group are normalized to the highest value in each group.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145