Capgemini

JANUARY 17, 2023

By creating a lakehouse, a company gives every employee the ability to access and employ data and artificial intelligence to make better business decisions. Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

Apiumhub

AUGUST 12, 2021

He has spoken at many conferences, user groups, etc., Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: ??

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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. It’s the smallest topic category in this group but showed a 24% year-over-year gain. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 134

Trends Technical Review Technology Software Review 134

O'Reilly Media - Ideas

APRIL 19, 2021

Finally, 8% of respondents said that their industry was “Other,” and 14% were grouped into “All Others.” “All The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%).

Enterprise 144

Enterprise Survey Weak Development Team Education 144

O'Reilly Media - Ideas

JANUARY 25, 2022

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). Data analysis” and “data engineering” are far down in the list—possibly indicating that, while pundits are making much of the distinction, our platform users aren’t.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

Altexsoft

APRIL 26, 2022

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. Modern data pipeline with Snowflake technology as its part. Source: Snowflake. BTW, we have an engaging video explaining how data engineering works. As such, it is considered cloud-agnostic.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

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. Source: Apache Airflow.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. What is Hadoop? Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Storage 59

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

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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

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, 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