Architecture Data Ingestion Data Lake Data Preparation 
Knowledge Hut
SEPTEMBER 26, 2023
Born out of the minds behind Apache Spark, an open-source distributed computing framework, Databricks is designed to simplify and accelerate data processing, data engineering, machine learning, and collaborative analytics tasks. This flexibility allows organizations to ingest data from virtually anywhere.
Cloudera
OCTOBER 11, 2021
The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.
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Knowledge Hut
MARCH 28, 2024
Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB.
LinkedIn Engineering
DECEMBER 20, 2023
Instead, they stemmed from a series of repetitive yet critical steps: re-training on continuously expanding and recent data; learning from past mistakes (false positives and negatives); experimenting with different model architectures and hyperparameters; and fine-tuning our models.
Ascend.io
JANUARY 2, 2024
The sources of data can be incredibly diverse, ranging from data warehouses, relational databases, and web analytics to CRM platforms, social media tools, and IoT device sensors. Regardless of the source, data ingestion, which usually occurs in batches or as streams, is the critical first step in any data pipeline.
Cloudera
MARCH 31, 2021
With the addition of Google Cloud, we deliver on our vision of providing a hybrid and multi-cloud architecture to support our customer’s analytics needs regardless of deployment platform. . Data Preparation (Apache Spark and Apache Hive) .
AltexSoft
MARCH 30, 2023
It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data. The relatively new storage architecture powering Databricks is called a data lakehouse. Databricks lakehouse platform architecture.
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