Pickl AI

DECEMBER 9, 2024

Summary: This article provides a comprehensive guide on Big Data interview questions, covering beginner to advanced topics. This article helps aspiring candidates excel by covering the most frequently asked Big Data interview questions. YARN (Yet Another Resource Negotiator) manages resources and schedules jobs in a Hadoop cluster.

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

DagsHub

JANUARY 14, 2025

This article is an attempt to delve into how duplicate data can affect machine learning models, and how it impacts their accuracy and other performance metrics. We hope you find this article thought-provoking! If you're interested in learning more about image augmentation, you might want to check out this article.

Machine Learning 52

Machine Learning Machine Learning Clustering Algorithm 52

DagsHub

APRIL 7, 2024

Adopted from [link] In this article, we will first briefly explain what ML workflows and pipelines are. By the end of this article, you will be able to identify the key characteristics of each of the selected orchestration tools and pick the one that is best suited for your use case! Programming language: Airflow is very versatile.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Mlearning.ai

MAY 16, 2023

This article discusses five commonly used architectural design patterns in data engineering and their use cases. The events can be published to a message broker such as Apache Kafka or Google Cloud Pub/Sub. Map phase: The input data is divided into smaller chunks and distributed across multiple nodes in the cluster.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

NOVEMBER 4, 2024

This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Dataconomy

FEBRUARY 23, 2023

Some of these solutions include: Distributed computing: Distributed computing systems, such as Hadoop and Spark, can help distribute the processing of data across multiple nodes in a cluster. If you want to learn more about data engineers, check out article called: “ Data is the new gold and the industry demands goldsmiths.”

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

DagsHub

OCTOBER 23, 2024

This article will discuss managing unstructured data for AI and ML projects. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Kafka is highly scalable and ideal for high-throughput and low-latency data pipeline applications.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Pickl AI

JULY 20, 2023

Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. NLP techniques help extract insights, sentiment analysis, and topic modeling from text data.

Analytics 40

Analytics Analytics Big Data Big Data 40

The MLOps Blog

MARCH 15, 2023

Typical examples include: Airbyte Talend Apache Kafka Apache Beam Apache Nifi While getting control over the process is an ideal position an organization wants to be in, the time and effort needed to build such systems are immense and frequently exceeds the license fee of a commercial offering. It connects to many DBs.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

The MLOps Blog

AUGUST 11, 2023

Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., Other areas in ML pipelines: transfer learning, anomaly detection, vector similarity search, clustering, etc. I hope this article brought you much-needed clarity around the same. 1 Data Ingestion (e.g., pandas, NumPy) 3 Feature Engineering and Selection (e.g.,

ML 52

ML ML Machine Learning Machine Learning 52