Data Engineering Podcast

JULY 10, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Tired of deploying bad data? Tired of deploying bad data?

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Podcast

APRIL 24, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Struggling with broken pipelines?

Data Warehouse 100

Data Warehouse Data Lake Data Pipeline BI 100

Data Engineering Podcast

JUNE 26, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Unstruk is the DataOps platform for your unstructured data.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Data Engineering Podcast

JUNE 12, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Unstruk is the DataOps platform for your unstructured data.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Podcast

JULY 3, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Tired of deploying bad data? Tired of deploying bad data?

Architecture 100

Architecture Metadata MongoDB MySQL 100

Monte Carlo

AUGUST 6, 2024

It often includes data marts (subsets of the data warehouse focused on specific business areas) and Online Analytical Processing cubes to support specific business functions. This layer is the primary interface for Business Intelligence tools that generate insights.

Data Warehouse 52

Data Warehouse Raw Data BI Machine Learning 52

Data Engineering Podcast

JUNE 5, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Data teams are increasingly under pressure to deliver.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

DECEMBER 21, 2020

Fortunately, there’s hope: in the same way that New Relic, DataDog, and other Application Performance Management solutions ensure reliable software and keep application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. The first 25 will receive a free, limited edition Monte Carlo hat!

Data Governance 130

Data Governance Government Data Lake Banking 130

Monte Carlo

APRIL 29, 2021

Simultaneously, Monte Carlo provides CDOs and other data stakeholders with a holistic view of their company’s data health and reliability across critical business use cases. We are delighted to partner with Monte Carlo for their data observability capabilities,” said Tarik Dwiek, Director of Technology Alliances at Snowflake.

Insurance 52

Insurance Business Intelligence Data Pipeline Cloud 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Monte Carlo

APRIL 4, 2023

Today, I’m excited to announce Monte Carlo’s new Fivetran integration , giving mutual customers the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation.

ETL Tools 52

ETL Tools Data Pipeline Business Intelligence Data Warehouse 52

Data Engineering Podcast

JANUARY 11, 2021

Fortunately, there’s hope: in the same way that New Relic, DataDog, and other Application Performance Management solutions ensure reliable software and keep application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. The first 25 will receive a free, limited edition Monte Carlo hat!

PostgreSQL 100

PostgreSQL Python Computer Science Data Lake 100

Data Engineering Podcast

JANUARY 4, 2021

Fortunately, there’s hope: in the same way that New Relic, DataDog, and other Application Performance Management solutions ensure reliable software and keep application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. The first 25 will receive a free, limited edition Monte Carlo hat!

Python 100

Python Machine Learning Computer Science Data Lake 100

Monte Carlo

JULY 15, 2024

In this post, we’ll dive into the world of data ownership, exploring how this new breed of professionals is shaping the future of business intelligence and why, in the coming years, the success of your data strategy may hinge on the effectiveness of your data owners. Table of Contents What is a Data Owner?

Pipeline-centric 52

Pipeline-centric Government Data Governance Retail 52

Monte Carlo

JANUARY 29, 2021

For Blinkist , a global book insights subscription service, broken data pipelines led to unreliable marketing spend, costly data fire drills, and loss of executive trust. When COVID-19 hit, they realized the growth of their company was being hindered by bad data. Talk to us! Request a free trial!

Business Intelligence 40

Business Intelligence Data Warehouse Data Pipeline Data 40

The Modern Data Company

JANUARY 31, 2023

This post highlights exactly how our founders taught us to think differently about data and why it matters. Here are the cornerstones of this new paradigm: Data ownership is a construct Data pipelines should be accessible to everyone Data products should adapt to the organization, not vice versa.

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Retail Healthcare Data Architecture Data Pipeline 98

Striim

FEBRUARY 10, 2023

Help customers visualize their data using a business intelligence tool. Inspyrus used Striim to seamlessly integrate customer data from various ERP and accounting systems into its Snowflake cloud data warehouse. Request a demo today.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Monte Carlo

JULY 13, 2021

Incident IQ gives data engineers and analysts a centralized, all-in-one solution for conducting incident management and root cause analysis on your data pipelines. Be sure to check out our Live Product Demo on July 15, 2021 at 12:00 p.m. Video courtesy of Monte Carlo. EST / 9:00 a.m. PST to learn more.

Food 40

Food Data Pipeline BI Business Intelligence 40

Monte Carlo

JULY 13, 2021

On average, companies lose over $15 million per year on bad data, with data engineers spending upwards of 40 percent – or 120 hours per week – of their time tackling broken data pipelines. Be sure to check out our Live Product Demo on July 15, 2021 at 12:00 p.m. EST / 9:00 a.m.

Management 40

Management Data Pipeline Retail BI 40

Striim

AUGUST 22, 2024

To achieve this, combine data from the sum of your sources. For this purpose, you can use ETL (extract, transform, and load) tools or build a custom data pipeline of your own and send the aggregated data to a target system, such as a data warehouse. Sign up for a demo today.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. But what does that mean for the roles of data engineers and data scientists going forward?

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 6, 2023

How should your business intelligence improve as a result of this migration? Set your budget While you’ll likely save on a data warehouse migration to cloud tooling, the migration process will create costs of its own. This can either be built manually or through data pipeline services like Fivetran.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

AltexSoft

OCTOBER 8, 2021

To make a more informed decision, enquire about demos and do your own in-depth research. Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and. The toolkit allows you to quickly build data pipelines , automate integration tasks, and monitor jobs. Here, we’ll be comparing such vendors as. Talend Open Studio.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

SEPTEMBER 10, 2021

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

The Modern Data Company

JANUARY 22, 2024

Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines. This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

The Modern Data Company

JANUARY 22, 2024

Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines. This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

AltexSoft

MARCH 30, 2023

What Databricks is used for Use cases for Databricks are as diverse and numerous as the types of data and the range of tools and operations it supports. Watch our video to learn more about one of the key Databricks applications — data engineering. All messages to and from the control plane are encrypted in transit.

Scala 64

Scala Data Lake BI Google Cloud 64

Monte Carlo

SEPTEMBER 8, 2021

Operations and analytics teams are increasingly leveraging this new approach to pipe transformed data from their cloud data warehouses into their CRMs (like Salesforce), marketing automation tools, advertising platforms, customer support and ticketing systems, and, of course, Slack. Image courtesy of Monte Carlo.

ETL Tools 52

ETL Tools Data Warehouse BI Data Pipeline 52

Monte Carlo

APRIL 20, 2023

Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority. This is one of the most frequent data lineage use cases leveraged by Vox.

Data Warehouse 52

Data Warehouse BI Data Government 52