TechCrunch

MARCH 2, 2021

Airbyte , an open-source data integration platform, today announced that it has raised a $5.2 “At that point, we decided to go into deeper data integration and that’s how we started the Airbyte project and product as we know it today,” Tricot explained. million seed funding round led by Accel.

Open Source 153

Open Source Data B2B Recruiting 153

AWS Machine Learning - AI

APRIL 23, 2025

This approach supports the broader goal of digital transformation, making sure that archival data can be effectively used for research, policy development, and institutional knowledge retention. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

Artificial Inteligence 67

Artificial Inteligence Open Source AWS Serverless 67

CIO

NOVEMBER 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

Xebia

NOVEMBER 21, 2024

This prevents running the hooks in dbt Cloud (as dbt Cloud can only run dbt commands) and makes development of new hooks a difficult task for those not already familiar with pre-commit’s inner workings. dbt-bouncer and dbt Cloud dbt-bouncer is a python package and, as such, cannot be run from the dbt Cloud IDE.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

Xebia

FEBRUARY 28, 2025

The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2]. So do they to major Cloud Providers. Dev ML teams work agile and experiment rapidly using PoC’s.

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

TechCrunch

OCTOBER 12, 2021

Airbyte , the well-funded open source data integration startup, always made it easy for data teams to set up their ELT (extract, load and transform) pipelines, but until now, that meant self-hosting and managing the service, with all the complications that come with that. Image Credits: Airbyte.

Open Source 212

Open Source Virtualization Data Engineering Enterprise 212

TechCrunch

APRIL 11, 2023

When DBeaver creator Serge Rider began building an open source database admin tool in 2013, he probably had no idea that 10 years later, it would boast more than 8 million users. So actually anyone who needs to work with data can use DBeaver,” she told TechCrunch.

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Open Source Database Administration Artificial Inteligence Machine Learning 203

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

TechCrunch

AUGUST 4, 2022

While at Metamarkets, the company built a database, based on the open source Apache Druid project. Most BI tools are thin applications with no data engine of their own, and only as fast as the database they sit atop. The company also recently released a second product called Rill Developer, which is open source.

Open Source 246

Open Source Metrics Enterprise Business Intelligence 246

TechCrunch

APRIL 12, 2022

Union.ai , a startup emerging from stealth with a commercial version of the open source AI orchestration platform Flyte, today announced that it raised $10 million in a round contributed by NEA and “select” angel investors. Union Cloud — and Flyte — define workflows as multiple tasks. Cloud advantage.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Cloud 202

TechCrunch

JUNE 2, 2021

Iterative , an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. He noted that the industry has changed quite a bit since then. ”

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

O'Reilly Media - Data

AUGUST 24, 2018

Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018. Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem. Why contribute to open source?

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Open Source Journal Artificial Inteligence Machine Learning 164

TechCrunch

MARCH 22, 2021

Like similar startups, y42 extends the idea data warehouse, which was traditionally used for analytics, and helps businesses operationalize this data. At the core of the service is a lot of open source and the company, for example, contributes to GitLabs’ Meltano platform for building data pipelines.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

TechCrunch

MARCH 23, 2022

At that time, the scrappy data analytics company had scooped up $3.5 million in funding to develop its tool for what happens after you’ve collected a bunch of data, namely assembling and organizing it so the data can be analyzed. Data collection isn’t the problem: It’s what companies are doing with it.

Open Source 213

Open Source Data Engineering Strategic Planning Analytics 213

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Feast instead reuses existing cloud or on-premises hardware, spinning up new resources when needed.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

Perficient

FEBRUARY 13, 2025

Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Machine Learning Artificial Inteligence 64

TechCrunch

NOVEMBER 2, 2022

When Berlin-based Y42 launched in 2020 , its focus was mostly on orchestrating data pipelines for business intelligence. That mission has expanded quite a bit over the course of the last couple of years and today, Y42 announced the launch of what it calls its “Modern DataOps Cloud.” Image Credits: Y42.

Data 203

Data Business Intelligence Open Source Government 203

TechCrunch

AUGUST 8, 2022

The pandemic prompted countless companies to migrate to the cloud. By 2025, driven partly by the need for digital services, 85% of enterprises will have a cloud-first principle, according to Gartner. Equalum manages data pipelines, leveraging open source packages, including Apache Spark and Kafka to stream and batch data processes.

Company 191

Company Data Cloud Google Cloud 191

Dzone - DevOps

NOVEMBER 7, 2023

Databricks is a cloud-based platform designed to simplify the process of building data engineering pipelines and developing machine learning models.

Data Engineering 80

Data Engineering Engineering Artificial Inteligence Machine Learning 80

Xebia

MAY 16, 2023

TL;DR : Kedro is an open-source data pipeline framework that simplifies writing code that works on multiple cloud platforms. Its modular design centralizes configurations, making the code less error-prone and enabling it to run locally and on the cloud. That’s where Kedro takes place.

Cloud 130

Cloud Data Azure Open Source 130

TechCrunch

APRIL 13, 2021

” It’s worth noting that Meroxa uses a lot of open-source tools but the company has also committed to open-sourcing everything in its data plane as well.

Data 248

Data Software Engineering Open Source Engineering 248

CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. 1 Inferencing on-premises with Dell Technologies can be 75% more cost-effective than public clouds, Enterprise Strategy Group, April 2024. Artificial Intelligence

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

Honeycomb

APRIL 23, 2025

Its not as hard as changing your cloud provider, but its not as easy as switching API endpoints. Is open source the future? I recently wrote the foreword to the upcoming OReilly book on Open Source Observability. If you want your ideas to go mainstream, you need open source. People need options.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

CIO

JUNE 7, 2022

Data analytics tools. Data analysts and others who work with analytics use a range of tools to aid them in their roles. Data analytics and data science are closely related. Data analytics is a component of data science, used to understand what an organization’s data looks like.

Analytics 203

Analytics Data Analysis Business Analytics 203

O'Reilly Media - Ideas

AUGUST 18, 2020

This is an open question, but we’re putting our money on best-of-breed products. We’ll share why in a moment, but first, we want to look at a historical perspective with what happened to data warehouses and data engineering platforms. Lessons Learned from Data Warehouse and Data Engineering Platforms.

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Artificial Inteligence Machine Learning Data Data Engineering 145

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. with Spark 3.0

Enterprise 93

Enterprise Cloud Data Artificial Inteligence 93

AWS Machine Learning - AI

MARCH 13, 2025

However, customer interaction data such as call center recordings, chat messages, and emails are highly unstructured and require advanced processing techniques in order to accurately and automatically extract insights. Sonnet, Anthropics Claude 3 Haiku, Mistral 7b/8x7b, Coheres Command R and R+, and Metas Llama 3.1

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Generative AI CTO Coach AWS Artificial Inteligence 113

TechCrunch

MAY 10, 2022

. “Typically, most companies are bottlenecked by data science resources, meaning product and analyst teams are blocked by a scarce and expensive resource. With Predibase, we’ve seen engineers and analysts build and operationalize models directly.” tech company, a large national bank and large U.S. healthcare company.”

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Artificial Inteligence Machine Learning Off-The-Shelf Training 235

CTOvision

JUNE 15, 2015

You know Spark, the free and open source complement to Apache Hadoop that gives enterprises better ability to field fast, unified applications that combine multiple workloads, including streaming over all your data. They also launched a plan to train over a million data scientists and data engineers on Spark.

Open Source 117

Open Source Artificial Inteligence Machine Learning Big Data 117

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding. She has extensive experience in data and analytics, application development, infrastructure engineering, and DevSecOps. Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

NOVEMBER 20, 2024

Aurora MySQL-Compatible is a fully managed, MySQL-compatible, relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. For example, q-aurora-mysql-source. Data Engineer at Amazon Ads.

Data 111

Data AWS Groups Knowledge Base 111

Cloudera

APRIL 1, 2024

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Cloud 105

Cloud Artificial Inteligence Generative AI Analytics 105

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. Google Cloud Free Program. As a new Google Cloud customer, you can get started with a 90-day free trial.

Google Cloud 97

Google Cloud Training Resources Cloud 97

CIO

JUNE 14, 2023

The exam tests knowledge of Cloudera Data Visualization, Cloudera Machine Learning, Cloudera Data Science Workbench, and Cloudera Data Warehouse, as well as SQL, Apache Nifi, Apache Hive, and other open source technologies. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 190

Big Data Analytics Data eLearning 190

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? As the inexorable drive to cloud continues, telecommunications service providers (CSPs) around the world – often laggards in adopting disruptive technologies – are embracing virtualization.

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Telecommunications Cloud Data Virtualization 97