Monte Carlo

APRIL 16, 2022

The data warehouse is the foundation of the modern data stack, so it caught our attention when we saw Convoy head of data Chad Sanderson declare, “ the data warehouse is broken ” on LinkedIn. Treating data like an API. Immutable data warehouses have challenges too.

Data Warehouse 52

Data Warehouse Architecture Data Government 52

Monte Carlo

JANUARY 25, 2023

In this article, Chad Sanderson , Head of Product, Data Platform , at Convoy and creator of Data Quality Camp , introduces a new application of data contracts: in your data warehouse. In the last couple of posts , I’ve focused on implementing data contracts in production services.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

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 69

Data Warehouse Cloud Kafka Cloud Storage 69

Advancing Analytics: Data Engineering

JUNE 21, 2019

Hear me out – back in the on-premises days we had data loading processes that connect directly to our source system databases and perform huge data extract queries as the start of one long, monolithic data pipeline, resulting in our data warehouse. Data-Driven Processing What is the alternative?

Data Warehouse 52

Data Warehouse Business Intelligence Data Data Validation 52

Rockset

MARCH 5, 2020

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. In this e-commerce example, Fynd analyzes clickstream data in Kafka to understand what’s happening in the business over the last few minutes.

Kafka 40

Kafka Data Warehouse Data Lake Relational Database 40

Lyft Engineering

OCTOBER 3, 2023

In this post we will define data quality at a high-level and explore our motivation to achieve better data quality. We will then introduce our in-house product, Verity, and showcase how it serves as a central platform for ensuring data quality in our Hive Data Warehouse. What and Where is Data Quality?

Big Data 84

Big Data Metadata Data Warehouse Data 84

Knowledge Hut

APRIL 25, 2024

Data warehouses are traditional relational database management systems (RDBMS) that have been enhanced with architectural changes and added functionality to support big data analytics. The two most popular data warehouse systems are Teradata and Oracle Exadata. log files, clickstreams). bitmaps, compression).

Big Data 98

Big Data Technology NoSQL Hadoop 98

Data Engineering Weekly

MAY 16, 2023

Like the staging environment, Fronting Kafka receives all the events without validation. A streaming consumer, often implemented in stream processing frameworks like Flink or Spark, consumes the events from the fronting Kafka and runs through data contract validation. Event Routers typically don’t alter the payload.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Rockset

SEPTEMBER 15, 2020

However, one difference between a real-time database and a streaming logging system is that the database provides a query API that can perform random queries on the event stream. The data warehouse is then used to gather insights from their data. These data pipelines add to data latency.

Bytes 40

Bytes Database Data Warehouse Data Pipeline 40

Data Engineering Podcast

AUGUST 3, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Netflix Tech

MARCH 7, 2024

This project leverages Fast Data and horizontal scaling with Metaflow’s foreach construct to load large amounts of title information — approximately a billion pairs — stored in the Netflix Data Warehouse, so the pairs can be matched in parallel across many Metaflow tasks. ETL workflows), as well as downstream (e.g.

Systems 90

Systems Media Machine Learning Data Warehouse 90

Christophe Blefari

SEPTEMBER 25, 2023

A guide to the Snowflake results cache — Cache is a critical piece to every data warehouse either for reusing data between runs or between stages in the same run. Data Economy 💰 Cisco acquired Splunk for $28b in cash. Secoda is a data catalog tool with lineage and monitoring capabilities.

Data 130

Data Data Warehouse Data Storage Data Pipeline 130

Christophe Blefari

SEPTEMBER 25, 2023

A guide to the Snowflake results cache — Cache is a critical piece to every data warehouse either for reusing data between runs or between stages in the same run. Data Economy 💰 Cisco acquired Splunk for $28b in cash. Secoda is a data catalog tool with lineage and monitoring capabilities.

Data 130

Data Data Warehouse Data Storage Data Pipeline 130

Data Engineering Podcast

AUGUST 10, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

IT 130

IT Building Data Warehouse Python 130

Data Engineering Podcast

APRIL 26, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Hevo

AUGUST 17, 2023

Webhooks are a widely used mechanism for real-time event notifications and trigger-based actions. Receiving real-time data updates assists in efficient data processing and analysis for enhanced decision-making.

Data Warehouse 52

Data Warehouse Data Cloud Data Process 52

Snowflake

APRIL 9, 2024

Bypassing data ingestion pain points with data sharing Most marketing data stacks have data coming in from multiple sources, including sales engagement platforms like Outreach as well as advertising data, web and mobile event data, CRM systems, internal databases and more.

BI 74

BI Data Ingestion Data Aggregated Data 74

Data Engineering Podcast

FEBRUARY 20, 2022

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Data Engineering Podcast

FEBRUARY 9, 2020

Summary Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling strategy that provides them with flexibility and speed.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Start Data Engineering

FEBRUARY 7, 2021

Application table Dimension table Setup Joining fact and SCD2 tables high_spenders user_items Educating end users Conclusion Further reading Introduction If you are using a data warehouse, you would have heard of fact and dimension tables.

Data Warehouse 100

Data Warehouse Education IT Data 100

Data Engineering Podcast

FEBRUARY 15, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Building 100

Building Data Warehouse BI Data Pipeline 100

Workfall

JUNE 12, 2023

Moreover, it facilitates the implementation of microservices architectures and event-driven systems, automating reactions to data changes without manual intervention. It captures incremental changes from transactional databases or other sources, efficiently loading them into data warehouses or data lakes.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Data Engineering Podcast

MARCH 29, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Management 100

Management Data Warehouse BI Data 100

Data Engineering Podcast

MAY 10, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

PostgreSQL 100

PostgreSQL Data Warehouse Data Pipeline Kafka 100

Data Engineering Podcast

FEBRUARY 22, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Data Integration 100

Data Integration Data Warehouse Data Pipeline BI 100

Data Engineering Podcast

MAY 3, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Data Engineering Podcast

JULY 5, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Systems 100

Systems Management Data Warehouse Programming Language 100

Data Engineering Podcast

APRIL 12, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Data Pipeline BI Data 100

Data Engineering Podcast

JUNE 22, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Database 100

Database MySQL PostgreSQL Data Warehouse 100

Data Engineering Podcast

APRIL 5, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Cloud Academy

JUNE 7, 2022

External : Provided by external services and platforms that we use to collect data about events not strictly related to the Cloud Academy platform, like currency exchange rates. What’s next in the data transformation process? Business users can leverage this data to get reports and insights.

Cloud 52

Cloud Data Warehouse Raw Data Business Intelligence 52

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. In all the use cases we are trying to migrate a table named “events.”

Metadata 69

Metadata Data Warehouse Big Data Ecosystem Java 69

Data Engineering Podcast

MARCH 8, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

IT 100

IT Data Warehouse MongoDB Kafka 100

Data Engineering Podcast

MAY 20, 2021

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

Data Governance 100

Data Governance Government Data Warehouse Data Pipeline 100

Data Engineering Podcast

DECEMBER 4, 2022

Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Rockset

MARCH 10, 2022

To deliver real-time analytics, companies need a modern technology infrastructure that includes these three things: A real-time data source such as web clickstreams, IoT events produced by sensors, etc. A platform such as Apache Kafka/Confluent , Spark or Amazon Kinesis for publishing that stream of event data.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Data Engineering Podcast

MARCH 16, 2020

Are you spending too much time maintaining your data pipeline? Snowplow empowers your business with a real-time event data pipeline running in your own cloud account without the hassle of maintenance. Setting up and managing a data warehouse for your business analytics is a huge task.

Building 100

Building Data Warehouse NoSQL Data Lake 100