Confluent

MAY 23, 2019

Tim is a teacher, author and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to distributed systems, and is the author of “Gradle Beyond the Basics.” and all over the world.

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Kafka Cloud Database Programming 109

The Pragmatic Engineer

MARCH 19, 2024

When we looked at GitHub Copilot alternatives , all were launched at least a year after GitHub Copilot’s 2021 launch except Tabnine, launched in 2019. In an amusing twist, a few years ago, demand for COBOL developers reportedly soared as there are still critical banking and insurance systems using this now-ancient language.

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Software Engineer Software Engineering Programming Language Media 323

The Pragmatic Engineer

MAY 11, 2023

Datadog is a leading observability tooling provider which went public in 2019, with a current market cap of $28B. A quick summary of these technologies: Prometheus : a time series database. A very popular open-source solution for systems and services monitoring. To get full newsletters twice a week, subscribe here.

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AWS Software Engineering Software Engineer Google Cloud 339

Cloudera

MARCH 13, 2019

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. Data Scientist Nominees : Babylon Health – Utilizing HDP and HDF for analytics on diagnostics, usage of e-health apps, with feedback into their AI platform to create a decision support system for doctors.

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Data Architect Banking Deep Learning Utilities 69

Engineering at Meta

FEBRUARY 4, 2025

Here we explore initial system designs we considered, an overview of the current architecture, and some important principles Meta takes into account in making data accessible and easy to understand. 2019: Users can view their activity off Meta-technologies and clear their history. What are data logs?

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Accessible Accessibility Raw Data Data Warehouse 89

Confluent

OCTOBER 1, 2019

If you looked at the Kafka Summits I’ve been a part of as a sequence of immutable events (and they are, unless you know something about time I don’t), it would look like this: New York City 2017, San Francisco 2017, London 2018, San Francisco 2018, New York City 2019, London 2019, San Francisco 2019. Yes, you read that right.

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Kafka Database Cloud Systems 14

Confluent

SEPTEMBER 23, 2019

Conferences are one of the best places to chat with, interact with—dare I even say network with people using the same technologies you are. Kafka Summit San Francisco 2019 is located at the Hilton San Francisco Union Square. His particular interests are analytics, systems architecture, performance testing, and optimization.

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Confluent

FEBRUARY 20, 2019

As you may know, we have adopted a happy medium: three Summits in 2019. Anyway, let me remind you of the dates and places: Kafka Summit New York – April 2, 2019. Kafka Summit London – May 13-14, 2019. March 28, 2019, at 2:00 p.m. I still think that’s a lot. Kafka Summit San Francisco – Sept. San Francisco CFP is open.

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Kafka Programming Architecture Technology 66

Confluent

OCTOBER 9, 2019

How Kroger Embraced a “Schema-First” Philosophy in Building Real-Time Data Pipelines by Rob Hoeting, Rob Hammonds, and Lauren McDonald of Systems Evolution. Tim Berglund is a teacher, author and technology leader with Confluent, where he serves as the senior director of developer experience. Photo Credit: Derek C.

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Kafka Software Engineering Software Engineer Data Pipeline 17

Confluent

SEPTEMBER 30, 2019

On the agenda for day two: a keynote from Confluent CEO Jay Kreps, a Q&A with Lyft, more sessions and, I am told, more on-demand donuts… Tim Berglund is a teacher, author and technology leader with Confluent, where he serves as the senior director of developer experience. and all over the world.

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Kafka Architecture Cloud Designing 17

Data Engineering Podcast

DECEMBER 26, 2021

Zhamak Dehghani introduced the concepts behind this architectural patterns in 2019, and since then it has been gaining popularity with many companies adopting some version of it in their systems. How has your view of the principles of the data mesh changed since our conversation in July of 2019?

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BI Data Warehouse Data Engineer Data Engineering 130

Jesse Anderson

JANUARY 9, 2023

Now, we’re seeing the market’s reaction to the technologies. In 2019, Alibaba bought Ververica. While the technology sector has had a tough time, that started in May 2022. This comparison seems like a clear point that Flink will be the system of choice. They were both in the same area with many of the same technologies.

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Kafka Technology Coding SQL 147

ProjectPro

JUNE 6, 2025

In fact, as per a report by Dice Insights in 2019, companies are hungry for data engineers as the job role ranked at the top of the list of trending jobs. Data engineers are responsible for creating pipelines enabling data flow from various sources to data storage and processing systems.

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Data Engineer Data Engineering Engineering Hadoop 49

The Pragmatic Engineer

MAY 1, 2024

When we looked at GitHub Copilot alternatives , all were launched at least a year after GitHub Copilot’s 2021 launch except Tabnine, launched in 2019. In an amusing twist, a few years ago, demand for COBOL developers reportedly soared as there are still critical banking and insurance systems using this now-ancient language.

Software Engineer 239

Software Engineer Software Engineering Programming Language Media 239

Cloudera

MAY 27, 2021

An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it. Right now, someone somewhere is writing the next fake news story or editing a deepfake video.

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Algorithm Media Consulting Machine Learning 119

ProjectPro

JUNE 6, 2025

Additionally, the website reported that the number of job positions was almost similar in 2019 and 2020. Access various data resources with the help of tools like SQL and Big Data technologies for building efficient ETL data pipelines. The role of a data engineer is to use tools for interacting with the database management systems.

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Data Engineer Data Engineering Engineering Amazon Web Services 58

Edureka

FEBRUARY 12, 2025

Software Engineers, on the other hand, specialize in building and developing comprehensive systems, with an emphasis on architectural and engineering concepts. Full Stack Developers have experience with a wide range of programming languages and technologies, as well as the complete stack. This is the”depth” of their skill.

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Software Engineer Software Engineering Education Computer Science 52

ProjectPro

JUNE 6, 2025

DataOps DevOps Databases, data warehouses, schemas, tables, views, and integration logs from other important systems make up the DataOps ecosystem. However, both serve their target audiences by lowering data debt, developing data products, minimizing the time it takes to build a system, or offering continuous delivery.

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Data Engineer Data Engineering Engineering Data Pipeline 40

Cloudera

AUGUST 12, 2021

A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing. A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. Risk Management.

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Manufacturing Insurance Consulting Education 111

Lyft Engineering

JUNE 8, 2023

We’re looking for driven engineers to fortify our European operations and solve some of the hardest problems in building large distributed systems to support rideshare, mapping, and more. Lyft was founded in 2012 and went public in 2019, with the mission to improve people’s lives with the world’s best transportation.

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Transportation Algorithm Machine Learning Engineering 111

Snowflake

SEPTEMBER 21, 2023

The marketing technology landscape has exploded in the last decade. 360-degree customer view broken into 120 data silos As of 2019, the average enterprise used 120 marketing applications. 360-degree customer view broken into 120 data silos As of 2019, the average enterprise used 120 marketing applications.

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Google Cloud Unstructured Data Technology Data 114

ProjectPro

JUNE 6, 2025

Leveraging machine learning and deep learning , these agents can process data, interact with systems, and adapt to changing conditions, thus enabling sophisticated automation and problem-solving capabilities. Here is an exciting post on AI Agents by Arpit Choudhury , Product and Technology Evangelist at Aampe and Founder of Databeats.

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Engineering at Meta

DECEMBER 6, 2023

This is the most significant milestone yet for this project, which began in earnest after Mark Zuckerberg outlined his vision for it in 2019. End-to-end encryption isn’t about the technology at its core. Some of these just had to be rebuilt from scratch, while others required deploying new applied privacy technology.

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Building Consulting Designing Accessible 145

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. million), among others.

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Building Government Transportation Data Governance 109

ProjectPro

JUNE 6, 2025

According to a study featured in the MIT Technology Review, a single large neural network boasting over 200 million parameters, when trained on a Cloud TPU (Tensor Processing Unit), can produce carbon dioxide emissions equivalent to that of approximately six cars throughout their entire lifetimes. Why use Transfer Learning?

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Deep Learning Project Datasets Machine Learning 52

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. So to improve the speed of data analysis, the IRS worked with the combined technology integrating Cloudera Data Platform (CDP) and NVIDIA’s RAPIDS Accelerator for Apache Spark 3.0.

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Transportation Telecommunication Banking Data Lake 111

Cloudera

FEBRUARY 8, 2021

billion in 2019, and is projected to reach $225.16 As advanced use cases, like advanced driver assistance systems featuring lane change departure detection, advanced vehicle diagnostics, or predictive maintenance move forward, the existing infrastructure of the connected car is being stressed. billion by 2027, registering a CAGR of 17.1%

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Manufacturing Machine Learning Electronics Data Ingestion 108

ProjectPro

JUNE 6, 2025

Using these features, Paul Viola and Michael Jones leveraged computer vision technology to create a simple object detection model. launched facial recognition technology on its iPhone X. It would be best to create this system as it is one of the most common computer vision projects for beginners. gray = cv2.cvtColor(img,

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Project Deep Learning Datasets Algorithm 66

ProjectPro

JUNE 6, 2025

In this blog, we'll explore why Pydantic has become a go-to tool for building agentic AI systems , explore its key features, and showcase how it simplifies the development of Generative AI applications. It’s ideal for tasks such as conversational agents and question-answering systems. Table of Contents What is Pydantic AI?

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Building Pipeline-centric Database-centric Data Validation 40

LinkedIn Engineering

OCTOBER 19, 2023

This technology has optimized cost-to-serve by 2x by unifying stream and batch processing through Apache Samza and Apache Spark runners, enabled real-time ML feature generation, reduced time-to-production for new pipelines from months to days, allowed for processing time-series events at over 3 million queries per second, and more.

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U-Next

FEBRUARY 26, 2023

The company has worked with over 2,000 customers across various industries, such as retail, financial services, healthcare, and technology. Average Salary per annum: INR 10 lakhs Number of Employees: 1361 Amazon Amazon is a multinational technology company based in Seattle, Washington. Average Salary per annum: INR 34.2

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Data Science Consulting Food Machine Learning 98

ProjectPro

JUNE 6, 2025

These AI system examples will have varying levels of difficulty as a beginner, intermediate, and advanced. Object Detection System Data Scientists who are just starting their careers can develop skills in the field of computer vision with this project. For example, suppose an image contains a picture of you working on a laptop.

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The Pragmatic Engineer

JULY 13, 2023

Until 2019, the company had only 8 locations, which limited their customer base. At first, the company blamed the pause of sales on a bug in their system, then confirmed that pausing sales was intentional. That small tweak had an outsized impact. Overnight, our shipping damages dropped by 70-80%.”

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Google Cloud Retail Manufacturing Software Engineer 178

Zalando Engineering

JUNE 23, 2021

Introduction In our previous post about Technology Choices at Zalando we spoke about a few problems with scaling technology selection in Tech companies. Now, we'd like to reflect on our lessons learned, which you can use when designing technology selection processes. Such individuals are also essential for continued innovation.

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ProjectPro

JUNE 6, 2025

AI even de-aged actors in The Irishman (2019) using one of the popular generative models- Generative Adversarial Networks (GANs). All these exciting breakthroughs fuel the hype around Generative AI technologies and applications. Step 10: Run the system with test queries. Meanwhile, OpenAI’s GPT-4 boasts 1.76

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Building Banking SQL Deep Learning 52

Confluent

MAY 14, 2019

A technology community is made up of people. These individuals have provided great value to the technology and the community, and we would like to recognize them for their exceptional contributions. The selection process for the 2020 class will end on August 15, 2019, after which you will begin to hear from us.

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Programming Kafka Education Coding 84

Towards Data Science

FEBRUARY 15, 2023

Data architecture is the set of practices, technologies, and services that meet the data demand of a given organization, both technical (speed, volume, frequency, availability) and non-technical (business rules, compliance with data legislation) needs. Let’s add the readings from 2019. Legend says, that this didn’t go well.

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