DataKitchen

NOVEMBER 5, 2024

This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs. By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Striim

MARCH 21, 2025

Striim customers often utilize a single streaming source for delivery into Kafka, Cloud Data Warehouses, and cloud storage, simultaneously and in real-time. Building streaming data pipelines shouldnt require custom coding Building data pipelines and working with streaming data should not require custom coding.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

DataKitchen

DECEMBER 9, 2024

They opted for Snowflake, a cloud-native data platform ideal for SQL-based analysis. The team landed the data in a Data Lake implemented with cloud storage buckets and then loaded into Snowflake, enabling fast access and smooth integrations with analytical tools.

Pharmaceutical 65

Pharmaceutical Data Lake Cloud Storage Project 65

Cloudera

DECEMBER 21, 2021

In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines. We wanted to develop a service tailored to the data engineering practitioner built on top of a true enterprise hybrid data service platform.

Data Engineer 118

Data Engineer Data Engineering Engineering Data Pipeline 118

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

MARCH 31, 2021

The combination of these capabilities will allow customers to easily migrate existing data pipelines to GCP or quickly set up new ones that can ingest from a number of existing or new data sources. Google Cloud Storage buckets – in the same subregion as your subnets .

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Monte Carlo

JULY 19, 2023

Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Let’s dive into it. The content, not the bean dip.

Building 96

Building Business Intelligence Cloud Storage BI 96

Towards Data Science

NOVEMBER 4, 2023

I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? Are your data pipelines efficient? and parallel data processing. What is it? ML model training using Airflow.

Data Engineer 98

Data Engineer Data Engineering Engineering BI 98

Cloudera

JUNE 5, 2023

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. The contest challenged developers to build data pipelines that represent their business use cases using Cloudera DataFlow. On the verge of the release of NiFi 2.0, Congratulations Vince!

Google Cloud 77

Google Cloud Cloud Storage Data Lake Data Pipeline 77

Towards Data Science

JULY 21, 2023

Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Let’s dive into it. The content, not the bean dip.

Building 98

Building Business Intelligence BI Cloud Storage 98

Edureka

APRIL 22, 2025

Additionally, it offers genuine multi-cloud flexibility by integrating easily with AWS, Azure, and GCP. JSON, Avro, Parquet, and other structured and semi-structured data types are supported by the natively optimized proprietary format used by the cloud storage layer.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Data Engineering Weekly

AUGUST 11, 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. Walmart wrote about how it saved millions of dollars with unified configuration-driven data pipelines. link] All rights reserved ProtoGrowth Inc, India.

Data Engineer 57

Data Engineer Data Engineering Google Cloud Engineering 57

WeCloudData

OCTOBER 19, 2021

The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard. The client intends to build on and improve this data pipeline by moving towards a more serverless architecture and adding DevOps tools & workflows.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard. The client intends to build on and improve this data pipeline by moving towards a more serverless architecture and adding DevOps tools & workflows.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Knowledge Hut

JUNE 26, 2023

From exploratory data analysis (EDA) and data cleansing to data modeling and visualization, the greatest data engineering projects demonstrate the whole data process from start to finish. Data pipeline best practices should be shown in these initiatives. Source Code: Yelp Review Analysis 2.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Data Engineering Weekly

DECEMBER 3, 2023

[link] Netflix: Streamlining Membership Data Engineering at Netflix with Psyberg A seamless lookback, aka reconciliation pipeline support, is a must-have for your data infrastructure to support data pipelines. Netflix writes about its membership data pipeline and how it supports the lookback approach.

Data Engineer 70

Data Engineer Data Engineering Engineering Bytes 70

ProjectPro

FEBRUARY 6, 2023

You will download the Yelp dataset in JSON format for this project, connect it to the Cloud SDK by connecting to the Cloud storage, which is then connected to the Cloud Composer, and publish the Yelp dataset JSON stream to a PubSub topic. For this project, you will require the COVID-19 Cases.csv dataset from data.world.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Ascend.io

JUNE 22, 2023

Data-driven organizations are increasingly looking for ways to enable both centralized and distributed teams to build, share and collaborate on analytical data products. Ascend is thrilled to announce the availability of our newest feature: the ability to deliver data directly to the MotherDuck analytics platform!

NoSQL 52

NoSQL MySQL Google Cloud Data Pipeline 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? They are flexible, secure, and provide exceptional performance.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Edureka

APRIL 14, 2025

Integration with Azure and Data Sources Fabric is deeply integrated with Azure tools such as Synapse, Data Factory, and OneLake. This allows seamless data movement and end-to-end workflows within the same environment. Its flexibility suits advanced users creating end-to-end data solutions.

BI 40

BI Business Intelligence Raw Data Retail 40

Ascend.io

MARCH 20, 2023

Start Your Pipeline with Pre-Loaded Data Sometimes, your data pipeline starts with data that is already located in a table in your data cloud. Maybe you’ve used another tool to load data, or the data is the result of an application running natively in that data cloud.

Management 52

Management AWS Cloud Storage Data Pipeline 52

Ascend.io

MARCH 20, 2023

Start Your Pipeline with Pre-Loaded Data Sometimes, your data pipeline starts with data that is already located in a table in your data cloud. Maybe you’ve used another tool to load data, or the data is the result of an application running natively in that data cloud.

Management 52

Management AWS Cloud Storage Data Pipeline 52

RandomTrees

SEPTEMBER 6, 2020

The architecture is three layered: Database Storage: Snowflake has a mechanism to reorganize the data into its internal optimized, compressed and columnar format and stores this optimized data in cloud storage. The data objects are accessible only through SQL query operations run using Snowflake.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Monte Carlo

JANUARY 27, 2024

Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Let’s dive into it. The content, not the bean dip.

Building 52

Building Business Intelligence Cloud Storage BI 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Ascend.io

JUNE 6, 2023

In this blog post, we delve deep into the factors that contribute to how Ascend runs in the cloud, focusing on the primary areas that contribute to costs in this context: storage, compute, networking, and retries. But if reading is not your thing, dive right into the fascinating details of how we master cloud costs in the video below.

Cloud 52

Cloud Data Pipeline Data Ingestion Cloud Storage 52

Towards Data Science

APRIL 26, 2023

Moreover, the data will need to leave the cloud env to go on our machine, which is not exactly secure and auditable. At the end of the cycle, we will have an analytics app that can be used to both visualize and query the data in real time with virtually no infra costs.

Engineering 96

Engineering Data Lake AWS BI 96

Knowledge Hut

MARCH 21, 2024

It offers a real-time database called Cloud Firestore and handles user authentication and management. It provides scalable and secure cloud storage, secure web hosting, and insights into user behavior. Factor AWS Firebase Company Amazon Google Type Cloud service provider App development platform Compute EC2, Lambda, etc.

AWS 52

AWS Cloud Storage NoSQL Cloud Computing 52

Ascend.io

AUGUST 31, 2023

In this article, we assess: The role of the data warehouse on one hand, and the data lake on the other; The features of ETL and ELT in these two architectures; The evolution to EtLT; The emerging role of data pipelines. Let’s take a closer look. Enterprises have an opportunity to undergo a metamorphosis.

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 52

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? machine learning and deep learning models; and business intelligence tools.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Edureka

JULY 3, 2024

ADF connects to various data sources, including on-premises systems, cloud services, and SaaS applications. It then gathers and relocates information to a centralized hub in the cloud using the Copy Activity within data pipelines. But data isn’t always in the perfect format for analysis, is it?

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Knowledge Hut

NOVEMBER 16, 2023

The AWS services cheat sheet will provide you with the basics of Amazon Web Service, like the type of cloud, services, tools, commands, etc. Opt for Cloud Computing Courses online to develop your knowledge of cloud storage, databases, networking, security, and analytics and launch a career in Cloud Computing.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

Monte Carlo

FEBRUARY 25, 2025

Data pipelines are messy. Data engineering design patterns are repeatable solutions that help you structure, optimize, and scale data processing, storage, and movement. They make data workflows more resilient and easier to manage when things inevitably go sideways. Thats why solid design patterns matter.

Designing 52

Designing Data Engineer Data Engineering Engineering 52

Ascend.io

FEBRUARY 23, 2024

If your core data systems are still running in a private data center or pushed to VMs in the cloud, you have some work to do. To take advantage of cloud-native services, some of your data must be replicated, copied, or otherwise made available to native cloud storage and databases.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 52

Ascend.io

MAY 18, 2023

The growing complexity drove a proliferation of software and data innovations, which in turn demanded highly trained data engineers to build code-based data pipelines that ensured data quality, consistency, and stability. So what is the modern data stack, and why is it so popular?

Data Warehouse 52

Data Warehouse Data Pipeline Data Lake Data Engineer 52

Towards Data Science

OCTOBER 9, 2024

Get started with Airbyte and Cloud Storage Coding the connectors yourself? Think very carefully Creating and maintaining a data platform is a hard challenge. Data connectors are an essential part of such a platform. Of course, how else are we going to get the data? Azure Kubernetes Services.

Coding 75

Coding Cloud Storage Data Data Ingestion 75