TechCrunch

AUGUST 8, 2022

. “[Livneh founded Equalum] to bring simplicity to the data integration market and to enable … organizations to make decisions based on real-time data rather than historical and inaccurate data.” ” Image Credits: Equalum. mixes of on-premises and public cloud infrastructure).

Company 191

Company Data Cloud Google Cloud 191

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

CIO

JULY 14, 2023

A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Fine-tuning applies to both hosted cloud LLMs and open source LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach.

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

Xebia

MAY 16, 2023

TL;DR : Kedro is an open-source data pipeline framework that simplifies writing code that works on multiple cloud platforms. If you want to improve your data pipeline development skills and simplify adapting code to different cloud platforms, Kedro is a good choice. In other words, respectable, yet unnecessary efforts.

Cloud 130

Cloud Data Azure Open Source 130

Xebia

FEBRUARY 25, 2024

Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. 2 In general, the flow of data from machine to the data engineer (1) is well operationalized. You could argue the same about the data engineering step (2) , although this differs per company.

Applications 130

Applications Technical Review Software Review Open Source 130

The Citus Data

MARCH 31, 2023

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand . :) 4 Citus customer talks Citus for real-time analytics at Vizor Games , by Ivan Vyazmitinov of Vizor Games.

Azure 84

Azure Open Source Virtualization Software Engineering 84

CIO

JULY 10, 2023

His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. The company was born as a series of print buying guides in 1966 and began making its data available via CD-ROM in the 1990s. Often, we want to share data between each other,” he says.

Infrastructure 148

Infrastructure Artificial Inteligence Data Generative AI 148

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 Amazon recently announced their latest EMR version 6.1.0

Performance 110

Performance Data Comparison Virtualization 110

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

UruIT

JULY 23, 2019

.” Microsoft’s Azure Machine Learning Studio. Microsoft’s set of tools for machine learning includes Azure Machine Learning (which also covers Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

ParkMyCloud

DECEMBER 11, 2020

If you know where to look, open-source learning is a great way to get familiar with different cloud service providers. . With the combined knowledge from our previous blog posts on free training resources for AWS and Azure , you’ll be well on your way to expanding your cloud expertise and finding your own niche.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Apiumhub

NOVEMBER 20, 2023

Andrea Tosato – Software Architect at Open Job Metis Andrea is a green software speaker, Microsoft MVP in Azure, and Developer Technologies, recognized for outstanding contributions. He has made significant contributions to various books and actively maintains multiple open-source projects.

Fractional CTO 83

Fractional CTO Software CTO Sustainability 83

UruIT

APRIL 27, 2020

Microsoft’s Azure Machine Learning Studio . Microsoft’s set of tools for ML includes Azure Machine Learning (including Azure Machine Learning Studio), Power BI, Azure Data Lake, Azure HDInsight, Azure Stream Analytics and Azure Data Factory. Pricing: try it out free for 12-months.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

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

Cloudera

MAY 18, 2021

That is accomplished by delivering most technical use cases through a primarily container-based CDP services (CDP services offer a distinct environment for separate technical use cases e.g., data streaming, data engineering, data warehousing etc.) Quantifiable improvements to Apache open source projects.

Cloud 86

Cloud Technical Review Storage Backup 86

Xebia

JANUARY 9, 2024

However, this requires a lot of custom engineering work and is not an easy task. Besides that you need to create a dashboard on top of this artifact data, to get meaningful insights out of it. Luckily, there is an open-source solution for this called Elementary Data.

Testing 130

Testing Data Open Source Applications 130

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Percona Live 2023 Session Highlights The three days of the event were packed with interesting open-source database sessions!

Open Source 52

Open Source Database Administration Survey AWS 52

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

FEBRUARY 11, 2019

Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”. Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. AI and machine learning in the enterprise. Deep Learning. Graph technologies and analytics.

Big Data 108

Big Data Technology Tools Cloud 108

Invid Group

AUGUST 28, 2024

The willingness to explore new tools like large language models (LLM), machine learning (ML) models, and natural language processing (NLP) is opening unthinkable possibilities to improve processes, reduce operational costs, or simply innovate [2]. They can be proprietary, third-party, open-source, and run either on-premises or in the cloud.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

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

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Use cases: small projects, specific source and target locations not supported by other solutions. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Datavail

JUNE 8, 2023

From DBA to Data Engineer—The Strategic Role of DBAs in the Cloud Over the past few years, the IT landscape has experienced significant disruptions. Additionally, he highlighted the need for DBAs to have a deep understanding of cloud platforms like Amazon Web Services (AWS) and Microsoft Azure.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

JUNE 7, 2022

Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data. We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. We can also do it with your preferred cloud – AWS, Azure or GCP. The future is hybrid data, embrace it.

Data 112

Data Architecture Analytics Big Data 112

Apiumhub

AUGUST 12, 2021

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. Furthermore, Microsoft has recognized him as Microsoft Azure MVP for the past eleven years.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. For better guidance, we’ve divided existing AutoML offerings into three large groups — tech giants, specific end-to-end AutoML platforms, and free open source libraries.

Machine Learning 59

Machine Learning Artificial Inteligence How To Open Source 59

Cloudera

SEPTEMBER 9, 2018

This makes it easy to meet the ever-changing needs of your data teams. Because Cloudera Altus Data Warehouse operates directly over data in your AWS or Microsoft Azure account, you can create security policies that comply with your company’s standards. Using Cloudera Altus for your cloud data warehouse.

Data 40

Data Data Engineering Analytics Cloud 40

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 Open Source 93

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. They bring data to a single platform giving a cohesive view of the business. Snowflake data management processes. Ensure data accessibility.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

OCTOBER 8, 2021

Usually, data integration software is divided into on-premise, cloud-based, and open-source types. On-premise data integration tools. As the name suggests, these tools aim at integrating data from different on-premise source systems. Open-source data integration tools. Pricing model.

Tools 52

Tools Data Software Review Open Source 52

Cloudera

SEPTEMBER 1, 2020

Solr is a standard and open source, commonly adopted text search engine with rich query APIs for performing analytics over text and other unstructured data. It is also possible to use CDP Data Hub Data Flow for real-time events or log data coming in that you want to make searchable via Solr. -i

Data 71

Data Backup Disaster Recovery Storage 71

Mobilunity

DECEMBER 9, 2024

It includes subjects like data engineering, model optimization, and deployment in real-world conditions. IBM AI Engineering Professional Certificate by Coursera allows programmers to create smart systems with Python and open-source tools. Data engineer. Big Data technologies.

Engineering 52

Engineering Artificial Inteligence Machine Learning Technical Review 52

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. Source: Qubole. Please note!

Tools 52

Tools Software Review Systems Review Testing 52

Mobilunity

DECEMBER 27, 2024

Data Handling and Big Data Technologies Since AI systems rely heavily on data, engineers must ensure that data is clean, well-organized, and accessible. Do AI Engineer skills incorporate cloud computing? How important are soft skills for AI engineers?

Artificial Inteligence 52

Artificial Inteligence Technical Review Engineering Systems Review 52

CIO

DECEMBER 10, 2024

Its a common skill for cloud engineers, DevOps engineers, solutions architects, data engineers, cybersecurity analysts, software developers, network administrators, and many more IT roles. Kubernetes Kubernetes is an open-source automation tool that helps companies deploy, scale, and manage containerized applications.

UI/UX 203

UI/UX Enterprise Artificial Inteligence Database Administration 203