TechCrunch

JUNE 22, 2022

CloudQuery CEO and co-founder Yevgeny Pats helped launch the startup because he needed a tool to give him visibility into his cloud infrastructure resources, and he couldn’t find one on the open market. He built his own SQL-based tool to help understand exactly what resources he was using, based on data engineering best practices.

Infrastructure 206

Infrastructure Cloud Open Source Data Engineering 206

CIO

DECEMBER 19, 2024

This involves grounding a commercially available or open-source LLM with your own data. Organizations are finding they have outdated data or incomplete data sets. Companies tend to invest heavily in the data plane where data is stored, organized and managed.

Artificial Inteligence 146

Artificial Inteligence Research Artificial Intelligence Enterprise 146

CIO

DECEMBER 20, 2024

Data streaming is data flowing continuously from a source to a destination for processing and analysis in real-time or near real-time. A container orchestration system, such as open-source Kubernetes, is often used to automate software deployment, scaling, and management. Container orchestration.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

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

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.

Open Source 203

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

CIO

NOVEMBER 19, 2024

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. Imagine that you’re a data engineer. You build your model, but the history and context of the data you used are lost, so there is no way to trace your model back to the source.

Artificial Inteligence 174

Artificial Inteligence Data Engineering Storage 174

DevOps.com

FEBRUARY 2, 2021

The post Varada Open-Sources Its Workload Analyzer to Help Data Teams Optimize Data Lake Queries appeared first on DevOps.com.

Open Source 87

Open Source Data Big Data Data Engineering 87

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]. Data Scientists, Machine Learning Engineers, Data Engineers and such need to work together.

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

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

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.

Open Source 212

Open Source Virtualization Data Engineering Enterprise 212

InfoWorld

MARCH 8, 2024

LinkedIn has decided to open source its data management tool, OpenHouse, which it says can help data engineers and related data infrastructure teams in an enterprise to reduce their product engineering effort and decrease the time required to deploy products or applications.

Open Source 72

Open Source Tools Data Engineering Storage 72

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

Xebia

NOVEMBER 21, 2024

In recent months Picnic open-sourced dbt-score , a python package that uses the manifest.json to assign a score to individual models and sources. Our analytics engineer consultants are here to help – just contact us and we’ll get back to you soon.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. Netflix is not the only place where data engineers are solving challenging problems with creative solutions.

Data Engineering 81

Data Engineering Engineering Data Generative AI 81

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 71

Data Engineering Engineering Data Software Engineering 71

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. We need to bridge both these worlds in a structured and repeatable way.”

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

APRIL 22, 2022

Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data scientists are the core of most data science teams, but moving from data to analysis to production value requires a range of skills and roles. Data science tools.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

CIO

SEPTEMBER 19, 2024

Goldcast, a software developer focused on video marketing, has experimented with a dozen open-source AI models to assist with various tasks, says Lauren Creedon, head of product at the company. The company isn’t building its own discrete AI models but is instead harnessing the power of these open-source AIs.

CTO Coach 207

CTO Coach Artificial Inteligence Fractional CTO Open Source 207

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

FEBRUARY 23, 2022

Portland, Oregon-based startup thatDot , which focuses on streaming event processing, today announced the launch of Quine , a new MIT-licensed open source project for data engineers that combines event streaming with graph data to create what the company calls a “streaming graph.”

Engineering 190

Engineering Open Source Big Data Fintech 190

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. Systems use features to make their predictions. “We are still in the early innings of MLOps.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

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

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. It offers a collaborative workspace that enables users to work with data effortlessly, process it at scale, and derive insights rapidly using machine learning and advanced analytics.

Data Engineering 80

Data Engineering Engineering Artificial Inteligence Machine Learning 80

Cloudera

DECEMBER 4, 2024

This release underscores Cloudera’s unwavering commitment to Apache NiFi and its vibrant open-source community. and its potential to revolutionize data flow management. empowers data engineers to build and deploy data pipelines faster, accelerating time-to-value for the business. Cloudera DataFlow 2.9

Metrics 93

Metrics Generative AI Open Source Data Engineering 93

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 Artificial Inteligence Machine Learning 64

TechCrunch

MARCH 21, 2023

Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance.

Data 202

Data Data Engineering Training Engineering 202

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 66

Open Source Analytics Software Review Metrics 66

TechCrunch

NOVEMBER 2, 2022

He argues that Y42’s new DataOps Cloud will allow organizations to more easily create and run production-ready pipelines and consume the data that comes through them. Like before, Y42 fully manages the data stack, using open source tools like Airbyte to integrate the different services and dbt Core for transformations.

Data 203

Data Business Intelligence Open Source Government 203

TechCrunch

FEBRUARY 2, 2022

“What makes RudderStack unique is its end-to-end data pipelines for customer data optimized for data warehouses,” said Praveen Akkiraju, Managing Director at Insight Partners, who will join the company’s board. RudderStack raises $5M seed round for its open-source Segment competitor.

Data 204

Data Artificial Inteligence Machine Learning Architecture 204

Battery Ventures

OCTOBER 7, 2020

The research pinpointed some of the mega-trends—including cloud computing and the rise of open-source technology—that are upending today’s huge enterprise-IT market as organizations across industries push to digitize their operations by modernizing their technology stacks.

Open Source 144

Open Source Cloud Google Cloud Azure 144

TechCrunch

JANUARY 10, 2023

Unlike most anomaly detection schemes that are built on Meta’s Prophet library, we have our own proprietary approach that we’ve proven to be more effective for this domain given that we can observe data very regularly and can make assumptions based on the type of data being monitored.” ” Image Credits: Metaplane.

Data 241

Data Software Review Technical Review Systems Review 241

CIO

SEPTEMBER 2, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

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.

Artificial Inteligence 145

Artificial Inteligence Machine Learning Data Data Engineering 145

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. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203