ProjectPro

JUNE 6, 2025

Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. Source Code: Designing a Hadoop Architecture Apache Kafka Apache Kafka is a distributed streaming open-source framework used for large-scale data integration, real-time data pipelines, and stream processing.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Cloudera

NOVEMBER 15, 2021

Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Related to the neglect of data quality, it has been observed that much of the efforts in AI have been model-centric, that is, mostly devoted to developing and improving models , given fixed data sets. Data annotation.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Data Engineering Weekly

AUGUST 25, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. Powerful deep learning models are becoming smarter, more accessible and cost-effective.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

ProjectPro

JUNE 6, 2025

The focus is on using the Two Tower Search Query Retrieval Model, a deep learning architecture designed for tasks like helping users search for items or suggesting products. In the ranking phase, a real-time machine learning model ranks this set of recommendations, generating the final list of suggestions personalized for each user.

Portfolio 40

Portfolio Data Science Project Media 40

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Apache Spark, Microsoft Azure, Amazon Web services, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 1, 2017

RecoverX is described as app-centric and can back up applications data whilst being capable of recovering it at various granularity levels to enhance storage efficiency. Cloudera is more inclined on becoming a product centric business with 23% of its revenue coming from services past year in comparison to 31% for Hortonworks.

Hadoop 52

Hadoop Pipeline-centric Database-centric Medical 52

DareData

JULY 29, 2020

Deep learning models are vulnerable against malicious adversarial examples. One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". What makes a good Data Pipeline? A simple example of a data pipeline, transforming raw data, and converting it into a dashboard.

Data Pipeline 52

Data Pipeline Healthcare Pipeline-centric Medical 52

ProjectPro

DECEMBER 16, 2021

The job of a Machine Learning Engineer is to maintain the software architecture, run data pipelines to ensure seamless flow in the production environment. Data Scientist - The Skillset Data Scientists and Machine Learning Engineers are expected to have a versatile skillset and a substantial overlap of skills.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

ProjectPro

JUNE 6, 2025

This allows the transformer model (a deep learning technique) to understand the context and relationships within sentences through an encoder. Explain the RAG pipeline and each component. When encountering a user request beyond my expertise in a virtual assistant scenario requires a user-centric approach.

Database-centric 40

Database-centric Datasets Architecture Metadata 40

Edureka

JULY 4, 2024

Through an intuitive drag-and-drop interface, users can create sophisticated data pipelines, perform complex transformations, and even implement AI models without writing a single line of code. It supports both traditional ML algorithms and deep learning frameworks, catering to a wide range of AI applications.

Data Lake 40

Data Lake Pipeline-centric Data Warehouse ETL Tools 40

Databand.ai

DECEMBER 20, 2022

He specializes in distributed systems and data processing at scale, regularly working on data pipelines and taking complex analyses authored by data scientists/analysts and keeping them running in production. He’s written hundreds of blogs and tought multiple courses on computer vision and deep learning.

Data Analytics 52

Data Analytics Google Cloud Data Mining Data Science 52

Knowledge Hut

MARCH 22, 2024

In my previous role as a junior DevOps engineer, I implemented a continuous integration and continuous delivery (CI/CD) pipeline that reduced deployment time by 50%, resulting in increased scalability and cost efficiency. I'm passionate about streamlining the software development lifecycle through automation and collaboration.

Recruitment 52

Recruitment Healthcare Pipeline-centric Hospitality 52

Databand.ai

DECEMBER 29, 2022

Seth champions exponential change by combining existing technologies and data science to create industrial scale processes including innovative automation, IT systems and analysis pipelines to support these. Follow Huy on LinkedIn 19) Jon Krohn Co-Founder and Chief Data Scientist at Nebula.io

Consulting 52

Consulting BI Data Governance Data Science 52

ProjectPro

JUNE 6, 2025

Data scientists, machine learning engineers, data engineers, and software engineers must put models into production. AWS MLOps is the process of managing and integrating machine learning pipeline s on AWS machine learning services. You can utilize the MLOps template pipelines that AWS has organized.

AWS 45

AWS Pipeline-centric Database-centric Machine Learning 45

Snowflake

MAY 1, 2025

DeepTempo picked up the challenge and created Tempo , a Snowflake Native App that uses deep learning-based detection to help customers identify security events and analyze both scope and severity with extreme accuracy. The result: an agile, efficient way to test new features and facilitate experimentation.

Pipeline-centric 97

Pipeline-centric Data Lake BI Deep Learning 97