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 246

Software Engineering Data Engineering DevOps AWS 246

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 Business Intelligence Enterprise 246

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.

Big Data 313

Big Data Analytics Data eLearning 313

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.

Generative AI 357

Generative AI ChatGPT Artificial Inteligence Machine Learning 357

CIO

JULY 14, 2023

As a ‘taker,’ you consume generative AI through either an API, like ChatGPT, or through another application, like GitHub Copilot, for software acceleration when you do coding,” he says. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

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

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. The exam tests your knowledge of and ability to integrate machine learning into various tools and applications.

Artificial Inteligence 313

Artificial Inteligence Data Machine Learning Azure 313

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

CIO

JUNE 7, 2022

Prescriptive analytics is a type of advanced analytics that involves the application of testing and other techniques to recommend specific solutions that will deliver desired outcomes. Data analytics tools. Data analysts and others who work with analytics use a range of tools to aid them in their roles.

Analytics 337

Analytics Data Analysis Business Analytics 337

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!

Open Source 52

Open Source Database Administration Survey AWS 52

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

FEBRUARY 2, 2022

With the explosion of data warehouses and advances in machine learning, companies want to build increasingly complex applications that can make use of this data. We are thrilled to lead this round and join Souymadeb and his team as they build an amazing customer data platform and company.”.

Data 204

Data Artificial Inteligence Machine Learning Architecture 204

Cloudera

JANUARY 20, 2021

In this last installment, we’ll discuss a demo application that uses PySpark.ML to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Afterwards, this model is then scored and served through a simple Web Application. Serving The Model

Artificial Inteligence 116

Artificial Inteligence Machine Learning Applications Data 116

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.

Testing 130

Testing How To Data Engineering Engineering 130

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 311

Data Engineering Engineering Data CTO Coach 311

TechCrunch

NOVEMBER 28, 2022

V7 is also starting to see activity with tech and tech-savvy companies looking at how to apply its tech in a wide variety of other applications, including companies building engines to create images out of natural language commands and industrial applications. Image Credits: V7 Labs (opens in a new window).

Training 240

Training Data Technical Review Artificial Inteligence 240

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

CIO

JULY 10, 2023

His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. The company was born as a series of print buying guides in 1966 and began making its data available via CD-ROM in the 1990s.

Infrastructure 246

Infrastructure Artificial Inteligence Data Generative AI 246

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.

Tools 79

Tools Data Engineering Analytics Testing 79

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

Altexsoft

JUNE 11, 2021

Process mining applications. In the 2020 application database , there are 551 case studies from 27 countries around the world, proving the spread of process mining adoption and growth of interest in these techniques. Here, we’ll go over several application cases to demonstrate the value and effectiveness of process mining.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

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.

System 90

System Artificial Inteligence Machine Learning Training 90

Xebia

FEBRUARY 25, 2024

In this blog post, we’ll try to demystify MLOps and take you through the process of going from a notebook to your very own industry-grade ML application. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. So how does it fit in the process?

Applications 130

Applications Technical Review Software Review Azure 130

The Citus Data

MARCH 31, 2023

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand Checkpoint and WAL configs , by Samay Sharma on the Postgres open source team at Microsoft.

Azure 84

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.

Open Source 117

Open Source Big Data Artificial Inteligence Machine Learning 117

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 95

Enterprise Cloud Data Artificial Inteligence 95

Apiumhub

NOVEMBER 20, 2023

Green Software Speakers Adam Jordan – Distinguished Software Engineer at Shell Dedicated software engineer, computer scientist, data scientist, and application security specialist with over two decades of experience delivering software solutions spanning diverse business sectors.

Fractional CTO 81

Fractional CTO Software CTO Sustainability 81

O'Reilly Media - Ideas

JANUARY 8, 2019

The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

Trends 90

Trends Data Artificial Inteligence Machine Learning 90

Tenable

JANUARY 11, 2022

Please note that Microsoft included patches for two CVEs in open source libraries. Open Source Software. Windows Application Model. Windows Task Flow Data Engine. Windows Tile Data Repository. This month’s update includes patches for: NET Framework. Microsoft Dynamics. Microsoft Office Word.

Windows 105

Windows Internet Open Source Storage 105

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. How do we manage any sensitive data that we acquire?

Data 174

Data Weak Development Team Software Review Culture 174

Exadel

FEBRUARY 20, 2023

Vertex AI leverages a combination of data engineering, data science, and ML engineering workflows with a rich set of tools for collaborative teams. Azure Machine Learning lets you accelerate and manage ML-based projects. You can use the service to train algorithms, deploy models, and manage MLOps.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Cloudera

FEBRUARY 25, 2021

While there are many factors that can contribute to this inefficiency, one of the most prevalent hurdles to overcome has to do with simply getting projects off the ground and selecting the right approaches, algorithms, and applications that will lead to fast results and trustworthy decision making. .

Artificial Inteligence 85

Artificial Inteligence Machine Learning Telecommunications Enterprise 85

Netflix Tech

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

DataRobot

MAY 11, 2021

When it comes to the latter, our customers have made it clear that they want the ability to not only use their own code with DataRobot but also have a fantastic notebook experience to crack open and take advantage of the power of everything DataRobot brings to the table within our platform.

Cloud 98

Cloud Sport Open Source Artificial Inteligence 98

Cloudera

JULY 27, 2021

Data has become the critical fuel that drives growth and automation, the twin guide points for an industry stretching for new revenue sources and cost reduction, all the while maintaining governance on precious customer data. Edge analytics by definition require in-network deployment.

Telecommunications 64

Telecommunications Data Architecture Big Data 64

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. When Should I Use Progress Kinvey?

AWS 52

AWS DevOps Disaster Recovery Serverless 52