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.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

CIO

SEPTEMBER 2, 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 148

Software Engineering Data Engineering DevOps AWS 148

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 148

Software Engineering Data Engineering DevOps AWS 148

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 Machine Learning Artificial Inteligence 117

John Snow Labs

SEPTEMBER 26, 2024

This makes it hard to combine them together, especially with growing data volumes. Unfortunately, unharmonized data is not fit for use in customer analytics, risk and compliance and data engineers and scientists end up building some sort of rule or heuristic based system to manage it.

Scalability 52

Scalability Open Source Data Engineering Compliance 52

TechCrunch

OCTOBER 7, 2021

If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. EveryDeveloper focuses on content, which I believe is the most scalable way to reach developers. Outside content, there’s events (in-person and virtual), advertising, sponsorships, open source and tools.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management.

Government 122

Government Artificial Inteligence Data Machine Learning 122

CIO

JULY 29, 2022

For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 147

Groups Security Development Programming 147

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 74

Infrastructure Scalability Cloud Data 74

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 108

Architecture Innovation Data Open Source 108

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. When evaluating a stream processing engine, consider its processing abstraction capabilities.

Engineering 104

Engineering Comparison Open Source Scalability 104

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Users that have their own self-managed Airflow instances, can also use CDP operators.

Data 116

Data Open Source Analytics Government 116

Xebia

NOVEMBER 21, 2024

But when the size of a dbt project grows, and the number of developers increases, then an automated approach is often the only scalable way forward. In recent months Picnic open-sourced dbt-score , a python package that uses the manifest.json to assign a score to individual models and sources.

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

Cloudera

MARCH 23, 2022

Through Cloudera’s contributions, we have extended support for Hive and Impala, delivering on the vision of a data architecture for multi-function analytics from large scale data engineering (DE) workloads and stream processing (DF) to fast BI and querying (within DW) and machine learning (ML). . 2: Open formats.

Data 97

Data Open Source Storage Machine Learning 97

Cloudera

DECEMBER 9, 2024

Solution Patterns from Clouderas Professional Services provide a blueprint for scaling AI by encompassing all aspects of the AI lifecycle, from data engineering and model deployment to real-time inference and monitoring. This flexibility allows you to select the best models for your specific use cases.

Knowledge Base 65

Knowledge Base Artificial Inteligence Scalability Data Engineering 65

CIO

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Focus on scalability. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications.

Data 97

Data Scalability Storage Big Data 97

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Take a test drive of Airflow in Cloudera Data Engineering yourself today to learn about its benefits and how it could help you streamline complex data workflows.

Off-The-Shelf 105

Off-The-Shelf Data Engineering Virtualization Cloud 105

Cloudera

JANUARY 20, 2021

After an employee confirms that the transaction is, in fact, fraudulent, that employee can let the system know that the model made a correct prediction which then can be used as additional training data to improve the underlying model. . As a result, I decided to use an open-source Occupancy Detection Data Set to build this application.

Machine Learning 116

Machine Learning Artificial Inteligence Applications Data 116

AWS Machine Learning - AI

NOVEMBER 15, 2024

Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding. The Principal AI Enablement team, which was building the generative AI experience, consulted with governance and security teams to make sure security and data privacy standards were met.

Generative AI 120

Generative AI AWS Groups Artificial Inteligence 120

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.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Cloudera

FEBRUARY 22, 2022

This unprecedented level of big data workloads hasn’t come without its fair share of challenges. The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets.

Data 114

Data Analytics Travel Disaster Recovery 114

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Read why the future of data lakehouses is open.

Data 94

Data Analytics Machine Learning Artificial Inteligence 94

Netflix Tech

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 15

AWS Open Source Linux Engineering Management 15

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Use cases: small projects, specific source and target locations not supported by other solutions. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. Use cases: moving data from on-premises to cloud or between cloud environments.

Software Review 69

Software Review Software Data Technical Review 69

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow. Download the reports to see the detailed scores .

Report 96

Report Cloud Technical Advisors Analytics 96

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

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Businesses are also looking to move to a scale-out storage model that provides dense storages along with reliability, scalability, and performance.

Data 104

Data Storage Architecture Big Data 104

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 95

System Artificial Inteligence Machine Learning Training 95

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 102

Strategy Data Technical Review Weak Development Team 102

Altexsoft

MARCH 18, 2021

The approach is possible thanks to the modern technologies that allow for storing and processing huge volumes of data in any format. This includes Apache Hadoop , an open-source software that was initially created to continuously ingest data from different sources, no matter its type. The future of ETL and ELT.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Plus the name sounded cool for an open-source project.”.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

SEPTEMBER 20, 2019

As the article is big enough, we suggest you to navigate using this outline, if needed: What is data visualization: how it works, types of data to visualize, visualization formats. Tools for data visualization: paid, free, and open-source instruments. Data visualization pitfalls: issues and challenges to consider.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Erik Bernhardsson

JUNE 7, 2014

Blog, talk at meetups, open source stuff , go to conferences. I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. Or alternatively – something they know of, but doesn’t necessarily associate with cutting edge tech?

Recruiting 102

Recruiting Weak Development Team Data Software Review 102

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. The platform offers advanced capabilities for data warehousing (DW), data engineering (DE), and machine learning (ML), with built-in data protection, security, and governance.

Cloud 67

Cloud Data Load Balancer Storage 67