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.

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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

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Xebia

NOVEMBER 21, 2024

dbt (data build tool) has seen increasing use in recent years as a tool to transform data in data warehouses. of the repository, while other times this is in an external tool like Confluence or Notion. But what about dbt? Sometimes this is in the README.md

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TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. “Users didn’t know how to organize their tools and systems to produce reliable data products.”

Tools 214

Tools Data Weak Development Team Big Data 214

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. CEO Tatiana Krupenya says that it’s an administrative tool that allows anyone to access data from a variety of sources.

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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.

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Open Source Tools Data Engineering Storage 72

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]. Cloud providers have answered the market need for better tooling in the Machine Learning space.

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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

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.

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TechCrunch

AUGUST 4, 2022

While at Metamarkets, the company built a database, based on the open source Apache Druid project. Rill launched in 2020 to build what the founders envisioned as a faster and better BI dashboarding tool, based on what they had learned at Snap.

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TechCrunch

APRIL 13, 2021

The company is able to do this because its core architecture is somewhat different from other data pipeline and integration services that, at first glance, seem to offer a similar solution. Because of this, users can use the service to connect different tools to their data warehouse but also build real-time tools on top of these data streams.

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CIO

APRIL 22, 2022

Data analytics describes the current state of reality, whereas data science uses that data to predict and/or understand the future. The benefits of data science. The business value of data science depends on organizational needs. Data science tools.

Data 210

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TechCrunch

MARCH 22, 2021

The service, which was founded in 2020, integrates with over 100 data sources , covering all the standard B2B SaaS tools from Airtable to Shopify and Zendesk, as well as database services like Google’s BigQuery. “We’re taking the best of breed open-source software. y42 founder and CEO Hung Dang.

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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. This is a difficult transition for enterprises.

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Artificial Inteligence Machine Learning Marketing Data Engineering 249

Cloudera

DECEMBER 4, 2024

Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams. Cloudera DataFlow 2.9 Cloudera DataFlow 2.9

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Metrics Generative AI Open Source Data Engineering 93

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.

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Data Engineering Engineering Data Generative AI 81

TechCrunch

JANUARY 10, 2023

The need for data observability, or the ability to understand, diagnose and orchestrate data health across various IT tools, continues to grow as organizations adopt more apps and services. After going through Y Combinator, and with the pandemic hitting, Metaplane pivoted but continued to build data analytics-focused tools.

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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.”

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TechCrunch

NOVEMBER 2, 2022

.” Built on top of data warehousing service Snowflake and Google’s BigQuery engine, Y42 ‘s new fully managed service aims to provide businesses with more of the tools to make their data stack easily accessible for more users while also providing additional collaboration tools and improved data governance services.

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CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics tools.

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Analytics Data Analysis Business Analytics 203

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

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.

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O'Reilly Media - Ideas

JANUARY 14, 2025

Ever since the computer industry got started in the 1950s, software developers have built tools to help them write software. AI is just another tool, another link added to the end of that chain. Software developers are excited by tools like GitHub Copilot, Cursor, and other coding assistants that make them more productive.

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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.

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TechCrunch

AUGUST 8, 2022

Systems, an IT consulting firm focused on data analytics. “Over the years, Livneh saw that many organizations were struggling to manage their data integration needs. Equalum manages data pipelines, leveraging open source packages, including Apache Spark and Kafka to stream and batch data processes.

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Altexsoft

AUGUST 25, 2021

Specifics of data used in NLP. Tools you can use to build NLP models. Translation tools such as Google Translate rely on NLP not to just replace words in one language with words of another, but to provide contextual meaning and capture the tone and intent of the original text. NLP tools overview and comparison.

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Tools Artificial Inteligence Technical Review Systems Review 139

O'Reilly Media - Ideas

AUGUST 18, 2020

This article, which examines this shift in more depth, is an opinionated result of countless conversations with data scientists about their needs in modern data science workflows. The Two Cultures of Data Tooling. This is an open question, but we’re putting our money on best-of-breed products.

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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).

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Open Source Analytics Software Review Metrics 66

TechCrunch

MAY 10, 2022

But Piero Molino, the co-founder of AI development platform Predibase , says that inadequate tooling often exacerbates them. We want to drastically reduce that [by bringing] a low-code but high-ceiling machine learning tool to organizations” Molino continued. These are ultimately organizational challenges. healthcare company.”

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Artificial Inteligence Machine Learning Off-The-Shelf Training 235

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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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.

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TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. Outside content, there’s events (in-person and virtual), advertising, sponsorships, open source and tools. Netlify recognized that problem and built filtered galleries to help developers choose the right tools.

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Weak Development Team Software Development Marketing Technical Advisors 231

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.

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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

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. In this post, I’ll describe some of the core technologies and tools companies are beginning to evaluate and build.

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Big Data Technology Tools Cloud 108

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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O'Reilly Media - Data

JULY 18, 2018

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May.

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