Rockset

JULY 28, 2022

As capable as it is, there are still instances where MongoDB alone can't satisfy all of the requirements for an application, so getting a copy of the data into another platform via a change data capture (CDC) solution is required. Debezium It is also possible to capture MongoDB change data capture events using Debezium.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Data Engineering Weekly

APRIL 21, 2024

link] RevenueCat: How we solved RevenueCat’s biggest challenges on data ingestion into Snowflake A common design feature of modern data lakes and warehouses is that Inserts and deletes are fast, but the cost of scattered updates grows linearly with the table size.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Christophe Blefari

FEBRUARY 24, 2023

When it comes to data storage, the real-time ecosystem has also changed a lot in the last few years and a lot of tooling went out to simplify the burden of managing Kafka clusters, Materialize—a real-time platform—detailed their architecture. Is it Kafka? Data Economy 💰 Qbeast raises €2.5m

Kafka 130

Kafka Data Lake Data Storage Data 130

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Christophe Blefari

JANUARY 20, 2024

In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), Main technologies around stream are bus messages like Kafka and processing framework like Flink or Spark on top of the bus. Understand Change Data Capture — CDC. You'll be also asked to put in place a data infrastructure.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

DECEMBER 4, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Monte Carlo

DECEMBER 4, 2023

Loading ChatGPT ETL prompts can help write scripts to load data into different databases, data lakes, or data warehouses. I'd like to import this data into my MySQL database into a table called products_table. Provide guidance and best practices on specific ETL tools Say you’re new to Apache Kafka.

PostgreSQL 52

PostgreSQL Data Lake ETL Tools MySQL 52

Data Engineering Weekly

FEBRUARY 4, 2024

The solution centered around Notebook opens a Flink Session for the Kafka stream and continues the exploration. It opens some old memory; try to solve this problem first with Presto-Kafka connector and then using OLAP engines like Druid & Apache Pinot.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Rockset

MARCH 5, 2020

Apache Kafka has seen broad adoption as the streaming platform of choice for building applications that react to streams of data in real time. In many organizations, Kafka is the foundational platform for real-time event analytics, acting as a central location for collecting event data and making it available in real time.

Kafka 40

Kafka Data Warehouse Data Lake Relational Database 40

Cloudera

MARCH 5, 2024

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity. Rolling upgrades are now supported for HDFS, Hive, HBase, Kudu, Kafka, Ranger, YARN, and Ranger KMS.

Data Lake 89

Data Lake Data Storage Government Kafka 89

Data Engineering Podcast

MAY 8, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Email hosts@dataengineeringpodcast.com ) with your story.

Database 100

Database Data Lake BI Business Intelligence 100

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. Some company also call it a lakehouse or a data lake, but the word shift is enough interesting to notice.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

Snowflake

SEPTEMBER 14, 2023

Unbound by the limitations of a legacy on-premises solution, its multi-cluster shared data architecture separates compute from storage, allowing data teams to easily scale up and down based on their needs. With Snowflake’s Kafka connector, the technology team can ingest tokenized data as JSON into tables as VARIANT.

Data Architecture 98

Data Architecture Architecture Hadoop Data Warehouse 98

Data Engineering Weekly

JUNE 25, 2023

link] Ziheng Wang: Open Vector Data Lakes We’ve seen the rise of vector databases in the market. The cost, vendor locking, and the properties of the data storage engine are frequent points of discussion in the vector database space. is chatbots are the right interface for this workflow?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Big Data Tools

MAY 19, 2022

Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. RocketMQ Streams 1.0.1

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. RocketMQ Streams 1.0.1

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Data Engineering Weekly

MARCH 24, 2024

The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems. As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

ProjectPro

DECEMBER 7, 2021

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

SEPTEMBER 25, 2022

Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake. Mention the podcast to get a free "In Data We Trust World Tour" t-shirt.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 28, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka.

Kafka 40

Kafka Database Process SQL 40

Rockset

JUNE 2, 2020

If you’re short on time, fear not- here are our top 10 MongoDB sessions to watch out for: 10 Join the Data Movement: MongoDB and Apache Kafka One of the go-to picks for companies that need a streaming platform is Apache Kafka. Apache Kafka allows you to publish and subscribe, store, and process streams of records.

MongoDB 52

MongoDB Data Lake Kafka NoSQL 52

Data Engineering Podcast

OCTOBER 5, 2020

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy.

Data Integration 100

Data Integration Kafka Data Lake Machine Learning 100

Data Engineering Podcast

SEPTEMBER 11, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Scribd Technology

APRIL 27, 2022

In addition to the presentations listed below, a number of Scribd engineers who are responsible for data and ML platform, machine learning systems, and more, will be in attendance if you want to meet up and learn more about how Scribd uses data and ML to change the way the world reads!

Kafka 40

Kafka Data Lake Machine Learning Data 40

ProjectPro

JANUARY 24, 2023

You can leverage AWS Glue to discover, transform, and prepare your data for analytics. In addition to databases running on AWS, Glue can automatically find structured and semi-structured data kept in your data lake on Amazon S3, data warehouse on Amazon Redshift, and other storage locations.

AWS 52

AWS Data Lake ETL Tools Scala 52

Knowledge Hut

NOVEMBER 2, 2023

Azure Data Ingestion Pipeline Create an Azure Data Factory data ingestion pipeline to extract data from a source (e.g., Azure SQL Database, Azure Data Lake Storage). Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Data Engineering Podcast

AUGUST 6, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Snowflake

AUGUST 16, 2023

Snowpipe Streaming enables low-latency streaming data pipelines to support writing data rows directly into Snowflake from business applications, IoT devices or event sources such as Apache Kafka, including topics coming from managed services such as Confluent Cloud or Amazon MSK. Learn more here. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Knowledge Hut

JUNE 26, 2023

If you are struggling with Data Engineering projects for beginners, then Data Engineer Bootcamp is for you. Some simple beginner Data Engineer projects that might help you go forward professionally are provided below. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

NOVEMBER 17, 2023

To provide end users with a variety of ready-made models, Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs. Big Data Technologies : Familiarity with Big Data tools and technologies like Hadoop, MongoDB, and Kafka is important, especially when dealing with large volumes of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Data Engineering Podcast

NOVEMBER 10, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

Metadata 100

Metadata Data Warehouse Data Lake BI 100

DataKitchen

AUGUST 19, 2021

Figure 3 shows an example processing architecture with data flowing in from internal and external sources. Each data source is updated on its own schedule, for example, daily, weekly or monthly. The data scientists and analysts have what they need to build analytics for the user. The new Recipes run, and BOOM! Conclusion.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

Data Engineering Podcast

JANUARY 13, 2019

Links TimescaleDB Original Appearance on the Data Engineering Podcast 1.0 Links TimescaleDB Original Appearance on the Data Engineering Podcast 1.0

Database 100

Database PostgreSQL SQL MongoDB 100