Acceldata

SEPTEMBER 8, 2023

Learn about the new data reliability, data monitoring/alerts, and compute capabilities in Acceldata Data Observability Cloud 2.9.0.

Cloud 52

Cloud Data 52

Acceldata

MARCH 16, 2023

Snowflake users can focus on data reliability to ensure data quality across their Snowflake environment.

Data 59

Data 59

Monte Carlo

FEBRUARY 16, 2023

Software applications achieve an enviable degree of reliability, and for some of the highest performing organizations, downtimes consist of a handful of minutes. Many of these structures have been adopted and adapted by data engineering teams in their eternal quest to build more reliable data systems.

Engineering 52

Engineering Data Pipeline Datasets Google Cloud 52

Acceldata

FEBRUARY 16, 2023

Critical to that effort is ensuring the reliability of data, and managing data pipelines, and these two thought leaders explain the necessary steps required of data teams.

Data Pipeline 52

Data Pipeline Data Management 52

Acceldata

MARCH 8, 2023

Learn how enterprise data teams prioritize data reliability as the foundation for achieving scale and optimizing operational performance.

Data 52

Data 52

Acceldata

DECEMBER 14, 2022

To effectively productize data, organizations need to first ensure that their data delivery, availability, and quality is reliable. Learn more here about data reliability.

Building 52

Building Data 52

Monte Carlo

JUNE 27, 2023

What about a spike in data volume for an important financial model that went unnoticed for weeks – eventually costing your company millions of dollars – because there wasn’t a noticeable change in your KPIs? The good news?

Data 52

Data Cloud Building Management 52

Monte Carlo

AUGUST 17, 2022

Over the years, I’ve helped companies of all sizes build and maintain data systems—from my days as a data engineer at Facebook to my current role as an end-to-end data solutions consultant. As a YouTuber and blogger , I’ve connected with data engineers from all over the world. The stakes also get higher.

Systems 52

Systems Building Data Data Engineering 52

Monte Carlo

MARCH 16, 2023

Fintech consumer lending marketplace Best Egg has built its products—including personal loans, debt consolidation, credit cards, and a financial health platform—on a foundation of data. Employee number three at Best Egg was Randy Addis, now Head of Data and Business Intelligence.

Software Engineer 52

Software Engineer Software Engineering Data Governance Government 52

Monte Carlo

MAY 23, 2022

What they all have in common is a dedication to providing the highest quality data to their internal and external customers. We’re honored to work with the following data teams and many others who are forging a path to data reliability and raising the bar for what it means to be data-driven.

Media 52

Media Entertainment Food Data 52

Acceldata

FEBRUARY 21, 2023

Learn how to scale data reliability for your enterprise.

Data 52

Data 52

Acceldata

JANUARY 3, 2023

We released the latest version of Acceldata Data Observability Cloud (ADOC). is now generally available, and it provides enhancements to compute, data reliability, data pipeline management and orchestration, and introduces new monitoring and alerting capabilities. Version 2.4.1

Cloud 52

Cloud Data Pipeline Data Management 52

Monte Carlo

JUNE 12, 2023

We’ve seen it time and time again — change is the only constant for data teams. New customers hungry for data. And, occasionally, an entirely new data platform to meet evolving business needs. All while ensuring data reliability from end-to-end. New sources to ingest. New team structures to support them.

Kafka 52

Kafka Algorithm Data Pipeline High Quality Data 52

Acceldata

AUGUST 8, 2023

Learn how to balance the critical elements of data throughput and data reliability in Kafka with the help of ZFS.

Kafka 40

Kafka Data 40

KDnuggets

NOVEMBER 4, 2021

Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale. In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning.

Machine Learning 90

Machine Learning Data Collection Data Project 90

Acceldata

FEBRUARY 10, 2023

Data reliability is a critical element to creating an optimal data environment for your mission-critical data.

Data 52

Data 52

Monte Carlo

MARCH 16, 2023

Fintech consumer lending marketplace Best Egg has built its products—including personal loans, debt consolidation, credit cards, and a financial health platform—on a foundation of data. Employee number three at Best Egg was Randy Addis, now Head of Data and Business Intelligence.

Software Engineer 40

Software Engineer Software Engineering Data Governance Government 40

Acceldata

FEBRUARY 12, 2023

Learn what should be part of modern enterprise data reliability SLA.

Data 52

Data 52

Monte Carlo

AUGUST 17, 2021

It would be an understatement to say your company is bullish on data. And your entire data engineering team is all in on this “data as code” movement. The flip side of this data-driven coin: your stakeholders (CEO and CTO included) ping you nearly every other hour to ask you: “is my data up-to-date?”

Insurance 40

Insurance Retail Data Pipeline Portfolio 40

Monte Carlo

SEPTEMBER 16, 2020

We’re excited to share that Monte Carlo has raised $16M in funding to pioneer the Data Reliability category. Our Series A was led by Accel , with participation from GGV Capital , and enables us to pursue our mission of accelerating the world’s adoption of data by reducing Data Downtime.

Building 52

Building Data Data Pipeline Machine Learning 52

Monte Carlo

FEBRUARY 9, 2021

In 2021, data is your company’s most critical asset. As data pipelines become increasingly complex and companies ingest more and more data, it’s paramount that this data is reliable. In 2019, we founded Monte Carlo to help companies accelerate the adoption by data by eliminating data downtime.

Insurance 52

Insurance Data Pipeline Retail Finance 52

Monte Carlo

JULY 18, 2022

I’m excited to share that Monte Carlo, creator of the data observability category and a Powered by Snowflake company, is now a Snowflake Premier Partner! For example, we could show campaign performance across the top 20 zip codes and now advertisers can access data across all 30,000 zip codes in the US if they want it.

Machine Learning 52

Machine Learning Architecture Data Pipeline Data 52

Acceldata

AUGUST 2, 2023

Learn how to create the right strategy for your AI and LLM models by ensuring accurate, healthy data.

Data 52

Data 52

Monte Carlo

MAY 19, 2021

Monte Carlo today announced Berlin-based microlearning app Blinkist has selected Monte Carlo to achieve more reliable data through data observability. 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.

Data Pipeline 40

Data Pipeline Data Data Engineering Data Engineer 40

Acceldata

JANUARY 12, 2023

Data observability helps FinOps teams identify trends, patterns, and potential issues that may not be immediately apparent from looking at the data in isolation.

Data 52

Data 52

Analytics Vidhya

FEBRUARY 13, 2023

Introduction Every data scientist demands an efficient and reliable tool to process this big unstoppable data. Today we discuss one such tool called Delta Lake, which data enthusiasts use to make their data processing pipelines more efficient and reliable.

Data Process 235

Data Process Process Data Data Warehouse 235

RudderStack

MAY 11, 2021

A typical example of a Data-Intensive Application. RudderStack briefly tells CDI and its core & the infrastructure for seizing, processing, and routing events.

Building 40

Building Data Process IT 40

Monte Carlo

APRIL 1, 2024

And now, from the mind of Barr Moses, comes the historic next children’s literary classic: Mastering Data Quality And Your ABCs. After all, in the age of virtual reality, generative AI, and cyber trucks, why shouldn’t children also learn how to write their first dbt test or spin up their first data observability solution?

Data Pipeline 116

Data Pipeline Media Education Data 116

Monte Carlo

JUNE 15, 2021

Fortunately, there’s now a better way to track critical data quality OKRs and restore data trust with your end users: Service Level Indicators (SLIs) in Monte Carlo. ML-based detectors adapt to changes in your data to minimize false positive notifications, which makes them ill-suited for hard-coded SLAs.

SQL 40

SQL Coding Data Process 40

Monte Carlo

MAY 3, 2024

It’s 2024, and the data estate has changed. Data systems are more diverse. But even though the data landscape is evolving, many enterprise data organizations are still managing data quality the “old” way: with simple data quality monitoring. For JetBlue’s data engineering team, that’s Microsoft Teams.

High Quality Data 52

High Quality Data Data Architecture Media 52

databricks

MAY 3, 2024

Moving generative AI applications from the proof of concept stage into production requires control, reliability and data governance. Organizations are turning to open.

Data Governance 66

Data Governance Government Data 66

Monte Carlo

MARCH 28, 2024

While the DevOps methodology has been taking over the world of software development, data teams are just beginning to realize the benefits that a similar approach can bring to their world. It is a group of concepts that can be put into practice where there is data. Enter the nascent discipline of DataOps.

Data Pipeline 52

Data Pipeline Coding Machine Learning Data Warehouse 52

Monte Carlo

MARCH 25, 2024

When we launched the data observability category in 2020, we set out to solve a very real problem: data trust. In the preceding months, I met with hundreds of data leaders about what kept them up at night. What if there was a way to ensure that your data was trustworthy and reliable? The list goes on.

MySQL 64

MySQL Government Data Governance Kafka 64

Towards Data Science

JUNE 8, 2023

We examine which team structures are the best suited for efficiently improving data quality. Sure, data quality is everyones’ problem. Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain.

Data Governance 80

Data Governance Government Generalist Data Engineering 80

Towards Data Science

FEBRUARY 24, 2023

The Chaos Data-Engineering Manifesto Another lesson we can learn from software engineers: break stuff to make it more reliable. As a result, the 2020 election was the first I can remember where the on-call engineers weren’t on the edge of their seats, white-knuckling their keyboards…At least not for system reliability reasons.

Data Engineering 98

Data Engineering Data Engineer Engineering Software Engineer 98