Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. The remaining tech (stages 3, 4, 7 and 8) are all AWS technologies. What's Next I'll be documenting how I build this setup in the AWS console (with screenshots).

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

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 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Cloudyard

APRIL 22, 2025

Read Time: 2 Minute, 34 Second Introduction In modern data pipelines, especially in cloud data platforms like Snowflake, data ingestion from external systems such as AWS S3 is common.

Data Validation 52

Data Validation Data Ingestion Data Pipeline AWS 52

Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Cloudyard

DECEMBER 18, 2024

Handling feed files in data pipelines is a critical task for many organizations. These files, often stored in stages such as Amazon S3 or Snowflake internal stages, are the backbone of data ingestion workflows. Without a proper archival strategy, these files can clutter staging areas, leading to operational challenges.

Retail 52

Retail Data Ingestion AWS Data Pipeline 52

Snowflake

JUNE 13, 2024

But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Like any first step, data ingestion is a critical foundational block. Ingestion with Snowflake should feel like a breeze.

Data Ingestion 115

Data Ingestion MySQL PostgreSQL Data Pipeline 115

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. This mode is particularly useful for audit trails or scenarios where preserving the historical sequence of data changes is important.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

Data Engineering Weekly

APRIL 20, 2025

With AWS rapidly slicing the cost of S3 Express, the blog makes a solid argument that disk-based Kafka is 3.7X The popularity also exposes its Achilles heel, the replication and network bottlenecks. expensive than diskless Kafka out of S3 Express One. Apache Hudi, for example, introduces an indexing technique to Lakehouse.

Data Engineering 68

Data Engineering Data Engineer Engineering Kafka 68

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion? Decision making would be slower and less accurate.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

Data Engineering Podcast

NOVEMBER 20, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP. Support Data Engineering Podcast

Data Lake 130

Data Lake Data Ingestion MongoDB MySQL 130

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. To achieve this goal, pursuing Data Engineer certification can be highly beneficial.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

Edureka

APRIL 9, 2025

Companies with expertise in Microsoft Fabric are in high demand, including Microsoft, Accenture, AWS, and Deloitte Are you prepared to influence the data-driven future? Programming Languages: Hands-on experience with SQL, Kusto Query Language (KQL), and Data Analysis Expressions ( DAX ).

Engineering 40

Engineering Data Ingestion Data Lake Programming Language 40

Ascend.io

DECEMBER 19, 2022

Thank you to the hundreds of AWS re:Invent attendees who stopped by our booth! We hope the real-time demonstrations of Ascend automating data pipelines were a real treat—a long with the special edition T-Shirt designed specifically for the show (picture of our founder and CEO rocking the t-shirt below).

Data Ingestion 52

Data Ingestion Data Pipeline Metadata AWS 52

Snowflake

FEBRUARY 13, 2024

Snowflake Horizon Snowflake enhances network security – general availability on AWS and Azure Snowflake enhances network security for customers with network rules, schema-level objects that group network identifiers into logical units. support in Snowpark – general availability Get support for Python 3.11 Learn more here.

Data Ingestion 111

Data Ingestion AWS Python Metadata 111

Edureka

AUGUST 23, 2024

The accuracy of decisions improves dramatically once you can use live data in real-time. The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. Amazon AWS Kinesis makes it possible to process and analyze data from multiple sources in real-time.

AWS 52

AWS Kafka Amazon Web Services Medical 52

Edureka

JULY 16, 2024

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. Amazon SageMaker, an AWS-managed AI service, is created to support enterprises on this journey and make it efficient and easy. Table of Content What is Amazon SageMaker?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Data Engineering Podcast

JUNE 19, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Metadata 130

Metadata MongoDB MySQL Scala 130

Christophe Blefari

MARCH 4, 2023

Data ingestion pipeline with Operation Management — At Netflix they annotate video which can lead to thousand of annotation but they need to manage the annotation lifecycle each time the annotation algorithm runs. AWS lambdas are still on Python 3.9 — Corey rant about AWS lambdas that are still using Python 3.9

Machine Learning 130

Machine Learning AWS Data Data Lake 130

Snowflake

MARCH 14, 2024

SNP Group is tackling this challenge head-on, leveraging the Snowflake Native App Framework (generally available on AWS and Azure, private preview on GCP) to create its SNP Glue Connector for SAP. Customers can process changed data once or twice a day — or at whatever cadence they prefer — to the main table.

IT 121

IT Data Ingestion Data AWS 121

Snowflake

OCTOBER 16, 2024

The company quickly realized maintaining 10 years’ worth of production data while enabling real-time data ingestion led to an unscalable situation that would have necessitated a data lake. That began with migrating those massive stores of data from SQL Server to Snowflake.

Digital Media 105

Digital Media Media Data Lake Data Warehouse 105

phData: Data Engineering

FEBRUARY 21, 2025

The Cloud represents an iteration beyond the on-prem data warehouse, where computing resources are delivered over the Internet and are managed by a third-party provider. Examples include: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Data integrations and pipelines can also impact latency.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

Data Engineering Podcast

JUNE 12, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Data Engineering Podcast

NOVEMBER 6, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

MongoDB 130

MongoDB MySQL Scala Machine Learning 130

Knowledge Hut

MARCH 19, 2024

AWS is the gold standard of Cloud Computing and has some reasons for it. It offers more than 170 AWS services to the developers so they can use them from anywhere when required. AWS Applications provide many services, from storage to serverless computing, and can be tailored to meet diverse business requirements. What is AWS?

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Snowflake

JUNE 6, 2024

Schedule data ingestion, processing, model training and insight generation to enhance efficiency and consistency in your data processes. Snowflake Notebooks is now available in Warehouse Runtime (PuPr) for all Snowflake accounts deployed across AWS, Azure and GCP.

SQL 115

SQL Python Machine Learning Data Workflow 115

Snowflake

SEPTEMBER 14, 2023

In 2019, the company embarked on a mission to modernize and simplify its data platform. Now, the team is on an ongoing mission to use Snowflake’s data platform to simplify the complexity of its tech stack. With Snowflake’s Kafka connector, the technology team can ingest tokenized data as JSON into tables as VARIANT.

Data Architecture 122

Data Architecture Architecture Hadoop Data Warehouse 122

Data Engineering Podcast

AUGUST 21, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Lambda Architecture 100

Lambda Architecture MongoDB MySQL Scala 100

Cloudera

MAY 19, 2021

For AWS this means at least P3 instances. Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files. Common problems at this stage can be related to GPU versions. P2 GPU instances are not supported.

Machine Learning 137

Machine Learning Data Science Datasets Raw Data 137

Cloudera

AUGUST 26, 2021

While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange. Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 113

Data Science Cloud Hadoop Metadata 113

Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka 106

Kafka Data Ingestion Architecture Datasets 106

Cloudera

FEBRUARY 10, 2022

After the launch of Cloudera DataFlow for the Public Cloud (CDF-PC) on AWS a few months ago, we are thrilled to announce that CDF-PC is now generally available on Microsoft Azure, allowing NiFi users on Azure to run their data flows in a cloud-native runtime. . Data Ingest for Microsoft Sentinel .

Cloud 116

Cloud Kafka AWS Data Ingestion 116

Data Engineering Podcast

OCTOBER 16, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Data Lake 100

Data Lake Food MongoDB MySQL 100

Data Engineering Podcast

OCTOBER 30, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP. Email hosts@dataengineeringpodcast.com ) with your story.

Engineering 100

Engineering MongoDB MySQL Scala 100

Snowflake

NOVEMBER 1, 2023

Securely manage and deploy full-stack applications with Snowpark Container Services Snowpark Container Services, public preview soon in select AWS regions, makes it easy for developers to deploy, manage and scale containerized workloads – all with Snowflake’s secure and fully managed infrastructure. Let’s dive in!

AWS 124

AWS Database Programming Language Data Science 124

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Towards Data Science

JANUARY 26, 2023

AWS, for example, offers services such as Amazon FSx and Amazon EFS for mirroring your data in a high-performance file system in the cloud. AI Store offers a kubernetes -based solution for a lightweight storage stack adjacent to the data consuming applications. client('s3') s3.upload_file('2GB.bin',

Cloud Storage 98

Cloud Storage Big Data Cloud AWS 98

Data Engineering Podcast

SEPTEMBER 11, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Data Pipeline 130

Data Pipeline Building MongoDB MySQL 130