The Citus Data

MARCH 31, 2023

(EMEA livestream, Citus team, Citus performance, benchmarking, HammerDB, PostgreSQL) 2 Azure Cosmos DB for PostgreSQL talks (aka Citus on Azure) Auto scaling Azure Cosmos DB for PostgreSQL with Citus, Grafana, & Azure Serverless , by Lucas Borges Fernandes, a software engineer at Microsoft. (on-demand

Azure 84

Azure Open Source Virtualization Software Engineering 84

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. Creating a cube is a custom process each time, because data can’t be updated once it was modeled in a cube.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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 Artificial Inteligence Machine Learning Software Review 64

Exadel

FEBRUARY 20, 2023

If you want to experiment with AI or go live with your solution, there are three widely known vendors: Amazon, Google, and Azure. Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Invid Group

AUGUST 28, 2024

AWS, Azure, and Google provide fully managed platforms, tools, training, and certifications to prototype and deploy AI solutions at scale. For instance, AWS Sagemaker, AWS Bedrock, Azure AI Search, Azure Open AI, and Google Vertex AI [3,4,5,6,7].

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Apiumhub

AUGUST 12, 2021

An International speaker, books & video author, and writer for Java Magazine, IBM Developer, Oracle, and InfoQ. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Furthermore, Microsoft has recognized him as Microsoft Azure MVP for the past eleven years.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Cloudera

SEPTEMBER 9, 2020

Azure and ADLS deployment options are also available in tech preview, but will be covered in a future blog post. A quick dashboard tutorial video from the past can be found here , for inspiration. We hope you have learned a great deal from this blog post on how to get data in S3 indexed by Solr in a DDE using the Crunch Indexer Tool.

Data 84

Data How To AWS Examples 84

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. It can both read data and write it to Kafka; the Connect API for direct data streaming between Kafka and external data systems; the Admin API for monitoring and managing topics, brokers, and other Kafka components.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Mobilunity

DECEMBER 9, 2024

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. It includes subjects like data engineering, model optimization, and deployment in real-world conditions. Computer Vision engineer. NLP engineer. Data engineer.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. time stamped data and time series forecasting to consider trends and seasonality, neural networks and NAS, raw texts and natural language processing (NLP), and.

Artificial Inteligence 59

Artificial Inteligence Machine Learning How To Open Source 59

Cloudera

FEBRUARY 17, 2021

Spin up clusters of NiFi, Kafka, or Flink very quickly onto your public cloud environments on AWS or Azure. Click here for a quick overview video or download our eBook to get more details. This enables our customers to truly extend the same powerful streaming capabilities of our CDF platform onto the public cloud as well.

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Data streaming explained.

Tools 52

Tools Software Review Systems Review Testing 52

John Snow Labs

MAY 24, 2023

LabelBox LabelBox is an efficient AI Data Engine platform for AI assisted labeling, data curation, model training, and more. It annotates images, videos, text documents, audio, and HTML, etc. We can analyze multiple types of content such as text, image, audio, video, etc.

Tools 52

Tools Artificial Inteligence Machine Learning Software Review 52

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. BTW, we have an engaging video explaining how data engineering works. Customers can neither see nor access these data objects.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

NOVEMBER 10, 2021

Key data warehouse limitations: Inefficiency and high costs of traditional data warehouses in terms of continuously growing data volumes. Inability to handle unstructured data such as audio, video, text documents, and social media posts. Unstructured and streaming data support. Open formats support.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

JANUARY 25, 2022

We looked at four specific kinds of data: search queries, questions asked to O’Reilly Answers (an AI engine that has indexed all of O’Reilly’s textual content; more recently, transcripts of video content and content from Pearson have been added to the index), resource usage by title, and resource usage by our topic taxonomy.

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

O'Reilly Media - Ideas

APRIL 19, 2021

The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). Most (83%) are using structured data (logfiles, time series data, geospatial data). form data). 52% of the respondents reported using images and video.

Enterprise 145

Enterprise Survey Weak Development Team Education 145

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. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

Altexsoft

JULY 29, 2022

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. How data engineering works under the hood.

Big Data 59

Big Data Data Google Cloud Open Source 59

O'Reilly Media - Ideas

JANUARY 25, 2021

More traditional modes also saw increases: usage of books increased by 11%, while videos were up 24%. We also added two new learning modes, Katacoda scenarios and Jupyter notebooks, during the year; we don’t yet have enough data to see how they’re trending. It’s important to place our growth data in this context.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145