Netflix Tech

DECEMBER 14, 2018

data access semantics that guarantee repeatable data read behavior for client applications. System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., key value stores generally allow storing any data under a key).

Media 99

Media Database Metadata Data Schemas 99

DataKitchen

NOVEMBER 5, 2024

Bronze layers can also be the raw database tables. Next, data is processed in the Silver layer , which undergoes “just enough” cleaning and transformation to provide a unified, enterprise-wide view of core business entities. Data missing or incomplete at various stages is another critical quality issue in the Medallion architecture.

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Data Engineering Podcast

AUGUST 6, 2022

For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

MAY 29, 2022

Singlestore aims to cut down on the number of database engines that you need to run so that you can reduce the amount of copying that is required. By supporting fast, in-memory row-based queries and columnar on-disk representation, it lets your transactional and analytical workloads run in the same database. In fact, while only 3.5%

Database 100

Database Architecture Data Architecture PostgreSQL 100

Data Engineering Podcast

OCTOBER 23, 2022

Summary The database market has seen unprecedented activity in recent years, with new options addressing a variety of needs being introduced on a nearly constant basis. Despite that, there are a handful of databases that continue to be adopted due to their proven reliability and robust features. In fact, while only 3.5%

Database 100

Database MySQL Cloud MongoDB 100

Data Engineering Weekly

JANUARY 8, 2025

What if your data lake could do more than just store information—what if it could think like a database? As data lakehouses evolve, they transform how enterprises manage, store, and analyze their data. Vinoth also stressed the need for solutions that ensure longevity and adaptability.

Data Lake 62

Data Lake Datasets Retail Data Ingestion 62

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). COD is an operational database-as-a-service that brings ease of use and flexibility to Apache HBase. Integrated across the Enterprise Data Lifecycle . Cloudera DataFlow .

Database 83

Database Machine Learning Kafka Data Lake 83

Snowflake

MARCH 2, 2023

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

Kafka 137

Kafka Data Ingestion Data Pipeline Cloud Storage 137

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process. A typical data ingestion flow.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Confluent

FEBRUARY 16, 2023

description: With real-time data ingestion, streaming, and storage capabilities, Apache Kafka can be used as a database with ksqlDB.

Kafka 72

Kafka Database Data Ingestion Data 72

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

Snowflake

NOVEMBER 11, 2024

Unify transactional and analytical workloads in Snowflake for greater simplicity Many businesses must maintain two separate databases: one to handle transactional workloads and another for analytical workloads.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

Data Ingestion 188

Data Ingestion Data Cloud Cloud Computing 188

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. Striim’s integration with Snowpipe Streaming represents a significant advancement in real-time data ingestion into Snowflake.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

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

Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion?

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Data Science 52

Pinterest Engineering

APRIL 7, 2025

However, as we were migrating our widecolumn database , we saw significant performance degradation across many clusters, especially for our bulk-updated workloads. For these use cases, typically datasets are generated offline in batch jobs and get bulk uploaded from S3 to the database running on EC2.

AWS 57

AWS Bytes Database Data Ingestion 57

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

APRIL 9, 2025

KAWA combines analytics, automation and AI agents to help enterprises build data apps and AI workflows quickly and achieve their digital transformation goals. It connects structured and unstructured databases across sources and uses a no-code UI or Python for advanced and predictive analytics.

Pharmaceutical 98

Pharmaceutical Manufacturing Data Ingestion SQL 98

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Rockset

MAY 3, 2023

Rockset is a database used for real-time search and analytics on streaming data. In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. Why measure streaming data ingestion?

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

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

Data Engineering Podcast

NOVEMBER 20, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

Data Lake 130

Data Lake Data Ingestion MongoDB MySQL 130

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. One of its core products uses a single-tenant architecture, which means each client has its own database.

Digital Media 103

Digital Media Media Data Lake Data Warehouse 103

Rockset

OCTOBER 11, 2022

Elasticsearch was designed for log analytics where data is not frequently changing, posing additional challenges when dealing with transactional data. Rockset, on the other hand, is a cloud-native database, removing a lot of the tooling and overhead required to get data into the system.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Striim

APRIL 18, 2025

Many organizations struggle with: Inconsistent data formats : Different systems store data in varied structures, requiring extensive preprocessing before analysis. Siloed storage : Critical business data is often locked away in disconnected databases, preventing a unified view.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

Snowflake

OCTOBER 3, 2023

We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime.

Data Pipeline 111

Data Pipeline Management Data Ingestion Data 111

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. High-level overview of real-time data ingest with Cloudera DataFlow to Pinecone vector database.

Machine Learning 110

Machine Learning Data Ingestion Database Architecture 110

Striim

JANUARY 30, 2025

Systems must be capable of handling high-velocity data without bottlenecks. Addressing these challenges demands an end-to-end approach that integrates data ingestion, streaming analytics, AI governance, and security in a cohesive pipeline. As you can see, theres a lot to consider in adopting real-time AI.

Systems 52

Systems Management Hospitality Healthcare 52

Data Engineering Podcast

NOVEMBER 6, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

MongoDB 130

MongoDB MySQL Scala Machine Learning 130

Data Engineering Podcast

JUNE 12, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

phData: Data Engineering

NOVEMBER 8, 2024

Streaming and Real-Time Data Processing As organizations increasingly demand real-time data insights, Open Table Formats offer strong support for streaming data processing, allowing organizations to seamlessly merge real-time and batch data. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Conclusion.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Striim

SEPTEMBER 11, 2024

This critical step leverages data ingestion tools to interface with diverse data sources, both internal and external, using various protocols and formats. Furthermore, Striim also supports real-time data replication and real-time analytics, which are both crucial for your organization to maintain up-to-date insights.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

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 109

Kafka Data Ingestion Architecture Datasets 109

Rockset

MARCH 27, 2023

This is part two in Rockset’s Making Sense of Real-Time Analytics on Streaming Data series. In part 1 , we covered the technology landscape for real-time analytics on streaming data. In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks. With that, let’s dive in.

Database 52

Database Process Scala SQL 52

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. In fact, while only 3.5%

Metadata 130

Metadata MongoDB MySQL Scala 130