TechCrunch

OCTOBER 7, 2021

“Most of the technical content published misses the mark with developers. I think we can all do a better job,” author and developer marketing expert Adam DuVander says. DuVander was recommended to us by Karl Hughes, the CEO of Draft.dev, which specializes in content production for developer-focused companies.

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Weak Development Team Software Development Marketing Technical Advisors 231

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. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

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. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

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.

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Open Source Data Engineering Strategic Planning Analytics 213

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. ”

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Artificial Inteligence Machine Learning Open Source Data Engineering 249

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.

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Open Source Metrics Business Intelligence Enterprise 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. 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

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

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Generative AI ChatGPT Machine Learning Artificial Inteligence 357

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

CIO

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

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Big Data Analytics Data eLearning 313

CIO

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

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Artificial Inteligence Data Machine Learning Azure 313

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 337

Analytics Data Analysis Business Analytics 337

Cloudera

SEPTEMBER 13, 2023

Once I got to work with all the amazing open-source Apache tools I was hooked. The grass isn’t always greener While the opportunity was exciting, I realized that I missed the old team, the open-source environment, innovative projects, and Cloudera overall. I found Apache NiFi especially interesting.

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Innovation Open Source Technology Data Engineering 86

CIO

JULY 14, 2023

It’s already showing up in the top 20 shadow IT SaaS apps tracked by Productiv for business users and developers alike. But many organizations are limiting use of public tools while they set policies to source and use generative AI models. CIOs want to take advantage of this but on their terms—and their own data.

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Generative AI Artificial Inteligence Open Source ChatGPT 246

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!

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Open Source Database Administration Survey AWS 52

CIO

JULY 10, 2023

What foundation frameworks should we develop to make our product teams more productive and gain on our competitors?” His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. Often, we want to share data between each other,” he says.

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Infrastructure Artificial Inteligence Data Generative AI 246

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.

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Artificial Inteligence Machine Learning Marketing Data Engineering 249

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.

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Open Source Cloud Google Cloud Azure 144

TechCrunch

FEBRUARY 2, 2022

“We still see segments quite a bit in our competitive deals, but we have an extremely high win rate whenever the buyer persona is developers,” he said. We are thrilled to lead this round and join Souymadeb and his team as they build an amazing customer data platform and company.”. Image Credits: RudderStack.

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Data Machine Learning Artificial Inteligence Architecture 204

TechCrunch

AUGUST 8, 2022

Equalum can collect, transform, and synchronize data, moving data in real time or in batches from devices and apps to AI systems, data lakes and data warehouses. Prior to co-founding Equalum, Livneh was a full stack developer in the U.S. Systems, an IT consulting firm focused on data analytics.

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Company Data Google Cloud Cloud 191

TechCrunch

MAY 10, 2022

But Piero Molino, the co-founder of AI development platform Predibase , says that inadequate tooling often exacerbates them. As a result, most machine learning tasks in an organization are bottlenecked on an oversubscribed centralized data science team,” Molino told TechCrunch via email. healthcare company.”

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Artificial Inteligence Machine Learning Off-The-Shelf Training 235

TechCrunch

JANUARY 10, 2023

But it’s not deterring Metaplane, a data observability startup founded by MIT graduate Kevin Hu (CEO), former HubSpot engineer Peter Casinelli and ex-Appcues developer Guru Mahendran in 2020. “Every day, executives are making decisions based on data that is incorrect. ” Image Credits: Metaplane.

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Data Software Review Technical Review Systems Review 241

Cloudera

FEBRUARY 15, 2023

Snatching victory from the jaws of defeat Amogh and his fellow hackathon team members felt the rush of victory after winning Cloudera’s 2022 global hackathon in the product development category. Each team had 48 hours straight to develop their idea for demonstration to the contest judges. One way he does this is through blog writing.

Software Engineering 85

Software Engineering Software Review Engineering Software 85

CIO

JANUARY 17, 2023

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

Data Engineering 307

Data Engineering Engineering Data CTO Coach 307

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

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Tools Data Engineering Analytics Testing 77

Xebia

MAY 16, 2023

Data Engineers were tempted by the pressure of the moment to give up on testing all together. There was no need for generating your own data; just take a percentage of production data. In many cases, these tasks ended up on the shoulders of the Data Engineers themselves. Overly restrictive governance.

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Testing How To Data Engineering Engineering 130

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

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Big Data Data Development Business Intelligence 52

Apiumhub

NOVEMBER 20, 2023

Consequently, we’ve curated a list of speakers we are eager to feature in our upcoming events and meetups, aiming to enhance awareness and catalyze a positive influence within the software development industry. Notably, Andrea is the founder of Cloudgen Verona, a vibrant.NET community-based in Verona.

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Fractional CTO Software CTO Sustainability 81

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. Additional IO Observability in Postgres with pg stat io , by Melanie Plageman on the Postgres Open Source team at Microsoft.

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Azure Open Source Virtualization Software Engineering 84

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.

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Open Source Big Data Machine Learning Artificial Inteligence 117

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

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System Machine Learning Artificial Inteligence Training 90

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.

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Strategy Technical Review Data Artificial Inteligence 52

Cloudera

MAY 13, 2021

Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements. Each stream processing engine comes with its own set of functional aspects.

Engineering 102

Engineering Comparison Open Source Scalability 102

O'Reilly Media - Ideas

JULY 16, 2020

Pseudogen — [open source] tool to automatically generate pseudo-code from source code. Implements Learning to Generate Pseudo-code from Source Code using Statistical Machine Translation and is written up in Pseudogen: A Tool to Automatically Generate Pseudo-code from Source Code. Open source.

Software Review 54

Software Review Open Source Data Engineering Games 54

Exadel

FEBRUARY 20, 2023

Generally, Sagemaker is a platform for full-cycle ML development. It simplifies and standardizes ML model development and makes the process more reproducible and reliable. Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams.

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Artificial Inteligence Cloud Machine Learning Azure 52

TIBCO - Connected Intelligence

APRIL 8, 2020

Below are the top six skills, consistent across the industry, that you need to focus on in order to develop your inner data science superhero. Captain Obvious: Develop Python Skills. Almost every data science project could be improved with Python scripting. Agent Collaboration: Develop People Skills.

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Data Open Source Data Engineering Analytics 49

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

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