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

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

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 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 Data Lake Computer Science 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 Data Lake Machine Learning Computer Science 100

Striim

FEBRUARY 10, 2023

To facilitate the data integration process, it used Striim, which allowed it to: Import historical and real-time on-premise data from its Oracle and DB2 mainframe databases. Process the data in flight, including detecting and transforming mismatched timestamp fields. Request a demo today.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 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

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Monte Carlo

SEPTEMBER 8, 2021

Modern data teams have all the right solutions in place to ensure that data is ingested, stored, transformed, and loaded into their data warehouse, but what happens at “the last mile?” In other words, how can data analysts and engineers ensure that transformed, actionable data is actually available to access and use?

ETL Tools 52

ETL Tools Data Warehouse BI Data Pipeline 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

Monte Carlo

APRIL 20, 2023

Solutions with automated data lineage capabilities constantly update these graphs and illustrate them as nodes and edges, or in other words, the objects through which the data travels and the relationship between them. This is one of the most frequent data lineage use cases leveraged by Vox. Data lineage can help!

Data Warehouse 52

Data Warehouse BI Data Government 52

AltexSoft

OCTOBER 8, 2021

Data integration defines the process of collecting data from a number of disparate source systems and presenting it in a unified form within a centralized location like a data warehouse. So, why is data integration such a big deal? Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

SEPTEMBER 10, 2021

Data integration is the process of taking data from multiple disparate internal and external sources and putting it in a single location (e.g., data warehouse ) to achieve a unified view of collected data. So, why does anyone need to integrate data in the first place? Key types of data integration.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52