ProjectPro

JUNE 6, 2025

Data Ingestion Data Processing Data Splitting Model Training Model Evaluation Model Deployment Monitoring Model Performance Machine Learning Pipeline Tools Machine Learning Pipeline Deployment on Different Platforms FAQs What tools exist for managing data science and machine learning pipelines?

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

ProjectPro

JUNE 6, 2025

Data Lake Architecture- Core Foundations Data lake architecture is often built on scalable storage platforms like Hadoop Distributed File System (HDFS) or cloud services like Amazon S3, Azure Data Lake, or Google Cloud Storage. Tools like Apache Kafka or AWS Glue are typically used for seamless data ingestion.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Data Engineering Podcast

AUGUST 13, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. In fact, while only 3.5% That’s where our friends at Ascend.io

Metadata 100

Metadata MongoDB Scala MySQL 100

ProjectPro

JUNE 6, 2025

But none of them could truly address the core limitations, especially when it came to managing schema changes, handling continuous data ingestion, or supporting concurrent writes without locking. Metadata Layer 3. Data Layer What are the main use cases for Apache Iceberg? Workarounds became the norm. Iceberg Catalog 2.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

Snowflake

NOVEMBER 11, 2024

For organizations with lakehouse architectures, Snowflake has developed features that simplify the experience of building pipelines and securing data lakehouses with Apache Iceberg™, the leading open source table format. Support for auto-refresh and Iceberg metadata generation is coming soon to Delta Lake Direct.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Edureka

MAY 27, 2025

Data Governance Data Management Data Lineage Fabric allows users to track the origin and transformation path of any data asset by automatically tracking data movement across pipelines, transformations, and reports. Future-Ready Architecture Future-Ready Architecture Fabric is scalable, cloud-native, and AI-ready.

Architecture 52

Architecture BI Business Intelligence Data Lake 52

Cloudera

OCTOBER 11, 2021

Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Cloud Speed and Scale. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Engineering 95

Data Engineering Data Engineer Cloud Engineering 95

phData: Data Engineering

NOVEMBER 8, 2024

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

JANUARY 26, 2023

Accessing data from the manufacturing shop floor is one of the key topics of interest with the majority of cloud platform vendors due to the pace of Industry 4.0 Working with our partners, this architecture includes MQTT-based data ingestion into Snowflake. Industry 4.0, initiatives. and supply chain in the coming months.

Data Ingestion 52

Data Ingestion Manufacturing Unstructured Data Data 52

ProjectPro

JUNE 6, 2025

While this approach delivers immediate insights, it requires robust infrastructure capable of handling real-time data ingestion, retrieval, and processing without latency bottlenecks. It retrieves relevant data and embeddings from the database to generate context-aware responses tailored to user queries.

Architecture 52

Architecture Data Ingestion Google Cloud AWS 52

ProjectPro

JUNE 6, 2025

Data Catalog : Its integrated data catalog automatically discovers and catalogs metadata from various sources, making it easy to find and understand datasets. Google Cloud Dataflow Google Cloud Dataflow is a powerful and serverless data processing tool that seamlessly manages both stream and batch data processing.

Data Pipeline 49

Data Pipeline Google Cloud Kafka AWS 49

ProjectPro

JUNE 6, 2025

Want to put your cloud computing skills to the test? Dive into these innovative cloud computing projects for big data professionals and learn to master the cloud! Cloud computing has revolutionized how we store, process, and analyze big data, making it an essential skill for professionals in data science and big data.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Amazon Web Services, or AWS, remains among the Top cloud computing services platforms with a 34% market share as of 2022. million organizations that want to be data-driven choose AWS as their cloud services partner. With AWS cloud services, web applications may be deployed quickly without further coding or server infrastructure.

AWS 40

AWS Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

NiFi's user-friendly interface allows users to design complex data flows effortlessly, making it an excellent choice for data ingestion and routing tasks. Use Cases- NiFi is ideal for ingesting and routing data from various sources to data stores or processing engines.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

Data Engineering Podcast

NOVEMBER 20, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Lake 130

Data Lake MongoDB Data Ingestion Scala 130

ProjectPro

JUNE 6, 2025

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 49

Big Data Project Metadata Programming Language 49

Cloudera

DECEMBER 15, 2022

For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale. Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation.

Cloud 80

Cloud Metadata Data Warehouse Google Cloud 80

Teradata

MAY 30, 2025

`customer_demographics.sql`: Model for transforming customer demographic data. schema.yml`: YAML file defining metadata, tests, and descriptions for the models in this directory. sources: Contains source configuration files for the raw data sources. stg_customers.sql`: Staging model for transforming raw customer data.

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

ProjectPro

JUNE 6, 2025

Cloud computing is the future, given that the data being produced and processed is increasing exponentially. As per the March 2022 report by statista.com, the volume for global data creation is likely to grow to more than 180 zettabytes over the next five years, whereas it was 64.2 zettabytes in 2020.

AWS 67

AWS SQL Big Data Raw Data 67

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion 52

Data Ingestion Data Engineer Data Engineering Engineering 52

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. Also, the associated business metadata for omics, which make it findable for later use, are dynamic and complex and need to be captured separately.

Metadata 114

Metadata Healthcare Medical Data Storage 114

ProjectPro

JUNE 6, 2025

We can store the data and metadata in a checkpointing directory. If there’s a failure, the spark may retrieve this data and resume where it left off. In Spark, checkpointing may be used for the following data categories- Metadata checkpointing: Metadata rmeans information about information.

Hadoop 68

Hadoop Metadata Java Datasets 68

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

ProjectPro

JUNE 6, 2025

Table of Contents What are Data Engineering Tools? Top 10+ Tools For Data Engineers Worth Exploring in 2025 Cloud-Based Data Engineering Tools Data Engineering Tools in AWS Data Engineering Tools in Azure FAQs on Data Engineering Tools What are Data Engineering Tools?

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Let's consider an example of a data processing pipeline that involves ingesting data from various sources, cleaning it, and then performing analysis. The workflow can be broken down into individual tasks such as data ingestion, data cleaning, data transformation, and data analysis.

Data Pipeline 63

Data Pipeline PostgreSQL Python Database 63

ProjectPro

JUNE 6, 2025

Here is a list of some of the best data warehouse tools available to help organizations harness the power of their data: Amazon Redshift Amazon Redshift is a fully managed data warehousing service provided by Amazon Web Services (AWS) - a leading cloud computing platform. Practice makes a man perfect!

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Snowflake

JUNE 4, 2024

Supporting open storage architectures The AI Data Cloud is a single platform for processing and collaborating on data in a variety of formats, structures and storage locations, including data stored in open file and table formats. Getting data ingested now only takes a few clicks, and the data is encrypted.

Government 112

Government Data Ingestion Data PostgreSQL 112

Cloudera

AUGUST 17, 2022

What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Cloud Storage 116

Cloud Storage Cloud Computing Government Business Analyst 116

Cloudera

SEPTEMBER 9, 2022

Cloudera has been supporting data lakehouse use cases for many years now, using open source engines on open data and table formats, allowing for easy use of data engineering, data science, data warehousing, and machine learning on the same data, on premises, or in any cloud.

Architecture 102

Architecture Metadata Machine Learning Unstructured Data 102

Snowflake

FEBRUARY 13, 2024

Snowpark Updates Model management with the Snowpark Model Registry – public preview Snowpark Model Registry is an integrated solution to register, manage and use models and their metadata natively in Snowflake. Learn more here. This enables secure, simple, and isolated connectivity to internal stages. Learn more here.

Data Ingestion 111

Data Ingestion AWS Python Metadata 111

Cloudyard

MARCH 4, 2023

Read Time: 5 Minute, 16 Second As we know Snowflake has introduced latest badge “Data Cloud Deployment Framework” which helps to understand knowledge in designing, deploying, and managing the Snowflake landscape. Respective Cloud would consume/Store the data in bucket or containers.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

ProjectPro

JUNE 6, 2025

Skills of a Data Engineer Apart from the existing skills of an ETL developer, one must acquire the following additional skills to become a data engineer. Cloud Computing Every business will eventually need to move its data-related activities to the cloud. How to Transition from ETL Developer to Data Engineer?

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

Netflix Tech

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Therefore, the ingestion approach for data lineage is designed to work with many disparate data sources. push or pull.

Building 93

Building Metadata Transportation Data Ingestion 93

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. Understand Change Data Capture — CDC.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Data Engineering Podcast

JUNE 5, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Go to dataengineeringpodcast.com/atlan today to learn more about how you can take advantage of active metadata and escape the chaos.

Data Security 100

Data Security Metadata MongoDB Scala 100

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects.

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Metadata 101