LinkedIn Engineering

JULY 19, 2023

Co-Authors: Sumedh Sakdeo , Lei Sun , Sushant Raikar , Stanislav Pak , and Abhishek Nath Introduction At LinkedIn, we build and operate an open source data lakehouse deployment to power Analytics and Machine Learning workloads. Metastore Catalog: Spark,Trino, andFlink engines are a special flavor of REST clients.

Big Data 78

Big Data Data Management Management Metadata 78

Cloudera

SEPTEMBER 28, 2020

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. Data Science and machine learning workloads using CDSW. Hive, Ranger, Atlas, Spark.

Cloud 130

Cloud Kafka Professional Services Metadata 130

ProjectPro

JANUARY 19, 2022

Explore this page further and learn everything about data engineers to find the answer. Furthermore, we will also lay out a learning path on how to become a data engineer that will help one explore this exciting domain. Good knowledge of various machine learning and deep learning algorithms will be a bonus.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JANUARY 19, 2024

Exploring data science, I focus on key topics like statistical analysis, machine learning, data visualization, and programming in my course syllabus. Understanding the essential components of a data science syllabus is crucial as I navigate my path to becoming a proficient data scientist. Must learn Data Science Course Topics 1.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

phData: Data Engineering

JANUARY 3, 2022

Roadmapping The Data Strategy Journey How Do Software Engineering Principles Solve This? Now part of the Apache Foundation, it originally was developed by CollabNet, Inc. Deequ is an extension of Apache Spark that allows you to write unit tests against your data. Table of Contents How Impactful is Your Data?

IT 52

IT AWS Software Engineer Software Engineering 52