TechCrunch

NOVEMBER 19, 2020

Data engineering is one of these new disciplines that has gone from buzzword to mission critical in just a few years. As data has exploded, so has their challenge of doing this key work, which is why a new set of tools has arrived to make data engineering easier, faster and better than ever.

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TechCrunch

OCTOBER 13, 2022

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. The New York-based startup announced today that it has raised $7.6

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Operating System Technical Review Analytics Systems Review 233

Cloudera

DECEMBER 2, 2024

By optimizing energy consumption, companies can significantly reduce the cost of their infrastructure. Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. In this way, FinOps and GreenOps go hand-in-hand.

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Sustainability AWS Analytics Infrastructure 89

Apiumhub

DECEMBER 9, 2024

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? Why Integrate Key Vault Secrets with Azure Synapse Analytics?

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Azure Analytics Storage Machine Learning 91

CIO

MARCH 13, 2025

Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. But not every company can say the same. Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

CIO

SEPTEMBER 12, 2022

Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. Data from that surfeit of applications was distributed in multiple repositories, mostly traditional databases. That’s how we measure success.”.

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Data Engineering Engineering Data Transportation 172

CIO

DECEMBER 10, 2024

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. In 2023 alone, Gartner found companies that deployed AI spent between $300,000 and $2.9

Artificial Inteligence 172

Artificial Inteligence Off-The-Shelf Insurance Analytics 172

CIO

MARCH 20, 2025

At a press conference held in Seoul on March 20, SAP CEO Christian Klein personally introduced the Korean market to SAPs AI-specific services, describing how SAPs AI vision can help Korean companies realize theirs. The products that Klein particularly emphasized at this roundtable were SAP Business Data Cloud and Joule.

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Data Artificial Inteligence Data Center Cloud 161

TechCrunch

MARCH 1, 2023

Too often over the last decade, line of business people have been forgotten when it comes to analytics. Even though these folks are the closest to what’s happening with customers, they tend to get left behind when it comes to tools, which are often geared for data scientists or at least people with a deep understanding of data.

Analytics 208

Analytics Data Engineering Data Engineering 208

CIO

DECEMBER 20, 2024

Data architecture principles According to David Mariani , founder and CTO of semantic layer platform AtScale, six principles form the foundation of modern data architecture: View data as a shared asset. Provide user interfaces for consuming data. Real-time analytics.

Architecture 182

Architecture Data Fractional CTO Technical Review 182

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. We have a tutorial and sessions to help companies learn how to comply with GDPR. Data platforms.

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Machine Learning Artificial Inteligence Company Case Study 236

CIO

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 205

Analytics Metrics Government Business Intelligence 205

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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Data Engineering Engineering Data Technical Review 130

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. What are the four types of data analytics?

Analytics 203

Analytics Data Analysis Business Analytics 203

Xebia

OCTOBER 18, 2024

DuckDB is an in-process analytical database designed for fast query execution, especially suited for analytics workloads. However, DuckDB doesn’t provide data governance support yet. Vice versa, for companies using Unity Catalog as their governance solution, DuckDB may not yet be a feasible option.

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Open Source AWS Government Technical Review 162

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Another sign of its growth is a big hire that the company is making. billion valuation.

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Analytics Data Big Data Business Intelligence 218

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

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Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

DECEMBER 4, 2024

The company pushes all its employees, even down to the most junior levels, to read up on emerging trends and experiment. And if they find things that are valuable, they should share them with the rest of the company. The new team needs data engineers and scientists, and will look outside the company to hire them.

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CIO

FEBRUARY 19, 2025

If 2023 was the year of experimentation with gen AI, 2024 was when companies zeroed in on use cases and started putting pilot projects into production. Only 14% say theyre losing money, and 66% of companies plan to increase their AI investments compared to 5% that plan to decrease it. And then there are guardrail considerations.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

CIO

APRIL 30, 2025

While many companies scrambled to adopt AI capabilities during the recent gen AI boom, United had already built the foundation necessary for effective implementation. Much of this work has been in organizing our data and building a secure platform for machine learning and other AI modeling.

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Airlines Strategy ChatGPT Software Review 123

TechCrunch

AUGUST 8, 2022

The pandemic prompted countless companies to migrate to the cloud. In a recent MuleSoft survey , 84% of organizations said that data and app integration challenges were hindering their digital transformations and, by extension, their adoption of cloud platforms. Systems, an IT consulting firm focused on data analytics.

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Company Data Cloud Google Cloud 191

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Get the latest insights by signing up for our newsletters. ]

Analytics 205

Analytics Data Technical Review Analysis 205

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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Data Engineering Engineering Data Artificial Inteligence 106

TechCrunch

OCTOBER 14, 2020

The Exchange regularly covers companies as they approach and crest the $100 million revenue mark. Today we’re digging into a company that is a little bit bigger than that. Namely Databricks , a data analytics company that was most recently valued at around $6.2 He’s also a co-founder.

Part-Time VPE 250

Part-Time VPE Analytics Machine Learning Artificial Inteligence 250

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

TechCrunch

SEPTEMBER 13, 2022

This is especially true for data, a universally necessary input for web3 companies, with crypto data firms like Messari reportedly fundraising amid a down market. Goldsky , a data infrastructure company for crypto startups, has raised $20 million in a seed round led by Felicis and Dragonfly Capital.

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Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. The same key tenants powering DE in the public clouds are now available in the data center. CDE on PVC Overview.

Data Engineering 113

Data Engineering Engineering Data Storage 113

TechCrunch

DECEMBER 16, 2020

During their time at Segment, Hightouch co-founders Tejas Manohar and Josh Curl witnessed the rise of data warehouses like Snowflake, Google’s BigQuery and Amazon Redshift — that’s where a lot of Segment data ends up, after all. Typically, though, this information is then only used for analytics purposes.

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Data Analytics B2C Big Data 251

TechCrunch

MARCH 22, 2021

Users can then transform and visualize this data, orchestrate their data pipelines and trigger automated workflows based on this data (think sending Slack notifications when revenue drops or emailing customers based on your own custom criteria). ” He then sold this company to a major publicly listed German company.

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Business Intelligence Software Review B2B Analytics 244

The Crazy Programmer

NOVEMBER 6, 2021

So you can also acquire such skills and get placed in renowned companies. A cloud architect has a profound understanding of storage, servers, analytics, and many more. Still, it is one of the most fertile fields for professionals and companies. Big Data Engineer. AI or Artificial Intelligence Engineer.

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Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

TechCrunch

OCTOBER 11, 2022

Life science businesses like big pharmaceutical companies have a singular set of needs when it comes to building applications. Their models and algorithms tend to be more sophisticated and data-intensive than most industries. So there will always be a license component and a service component.”.

Development 248

Development Pharmaceuticals Data Engineering Engineering 248

CIO

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.

Data 215

Data Machine Learning Artificial Inteligence Fractional CTO 215

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie 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. Kevin, what drew you to data engineering?

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Data Engineering Engineering Data Big Data 80

CIO

APRIL 2, 2025

Artificial intelligence (AI) has long since arrived in companies. Whether in process automation, data analysis or the development of new services AI holds enormous potential. But how does a company find out which AI applications really fit its own goals? Model and data analysis. Strategy development and consulting.

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Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 118

CIO

MARCH 18, 2025

Adobe said Agent Orchestrator leverages semantic understanding of enterprise data, content, and customer journeys to orchestrate AI agents that are purpose-built to deliver targeted and immersive experiences with built-in data governance and regulatory compliance. The multimodal agent supports text, voice, and image interactions.

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B2B B2C Guidelines Analysis 95

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. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

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Data Engineering Engineering Data Generative AI 83

TechCrunch

MARCH 23, 2022

Astronomer has grown quite a lot since we briefly profiled the company back in 2017. 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.

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Open Source Data Engineering Strategic Planning Analytics 213