Data Engineering Podcast

NOVEMBER 19, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Project 147

Project Data Lake High Quality Data SQL 147

Monte Carlo

OCTOBER 4, 2022

Now, roughly two years and 300 pages later, I’m thrilled to announce Data Quality Fundamentals is now available both online and in print. It’s our hope this book will prepare the next generation of data teams as they drive data product development and analytics strategy forward.

High Quality Data 52

High Quality Data Data Pipeline Media Data 52

Monte Carlo

FEBRUARY 27, 2024

Organizations need to connect LLMs with their proprietary data and business context to actually create value for their customers and employees. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability. Data engineers. Who can deliver?

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Edureka

SEPTEMBER 11, 2023

This thorough guide delves into the complex world of generative AI, exploring its technology, background, different subfields, practical uses, and ethical issues. These algorithms frequently employ methods like Bayesian inference, Markov Chains, and maximum likelihood estimation to create new data.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

AltexSoft

FEBRUARY 21, 2023

The key objective behind this task is to set the best booking prices to entice customers and ensure that hotels take full advantage of their business potential. This technology enables anticipating future trends and estimating ADRs for hotel or vacation rental properties. So how exactly are hotel price prediction tools built?

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Workfall

JULY 4, 2023

DBT’s superpowers include seamlessly connecting with databases and data warehouses, performing amazing transformations, and effortlessly managing dependencies to ensure high-quality data. Each successful deployment enriches its data ecosystem, empowering decision-makers with valuable, up-to-date insights.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

Monte Carlo

MAY 24, 2022

Monte Carlo research shows a correlation between data incidents and the amount of data an organization handles, with the average business experiencing at least one data incident for every 15 tables in their environment. “As The first several chapters of the book are accessible for free, here.

High Quality Data 52

High Quality Data Data Education Machine Learning 52

Monte Carlo

MARCH 23, 2022

Their primary use case for data observability was so they could make bold, aggressive marketing investments with confidence in order to hit an ambitious 40% growth target. Some of our customers that get the most topline benefit from our data observability platform are companies where data is the product or at least a core component of it.

IT 52

IT Machine Learning High Quality Data Data 52

AltexSoft

AUGUST 22, 2022

Gartner claims that there is such a solution capable of enabling companies to have advanced, flexible, and reusable data management across all environments. The solution is called a data fabric. Data fabric architecture example. Remember that a data fabric is NOT a single software tool you can buy and deploy overnight.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Monte Carlo

JUNE 23, 2022

But those are specialized use cases, and while the demand for streaming data poses new big data challenges on the horizon, today most organizations enjoy a technological moment in time where they can cost effectively access enough storage and compute to meet their organization’s needs without breaking a sweat.

Big Data 40

Big Data Management Machine Learning Data Warehouse 40

Monte Carlo

APRIL 26, 2022

Over the past few years, DataOps has grown in popularity among data teams of all sizes as a framework that enables quick deployment of data pipelines while still delivering reliable and trustworthy data that is readily available. And in order to do this, business users need to have the ability to self-serve their own data needs.

IT 64

IT Data Pipeline Data Engineering Data Engineer 64

Monte Carlo

AUGUST 10, 2023

Lineage : When data breaks, the first question is always “where?” Data lineage provides the answer by telling you which upstream sources and downstream ingestors were impacted, as well as which teams are generating the data and who is accessing it. The original article that launched a category: What is data observability?

Data Pipeline 98

Data Pipeline Software Engineer Software Engineering Machine Learning 98

ProjectPro

FEBRUARY 21, 2023

Although challenging, a career in data engineering can be rewarding. Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

APRIL 1, 2021

Over the past few decades, the world of data analytics has undergone transformation from a siloed entity to a cross-functional powerhouse. Now, in 2021, in this decade of data, the time is ripe for yet another sea-change, this time in the form of data democratization and accessibility. Where’s my keyboard?”

Building 52

Building BI Business Intelligence Data 52

Monte Carlo

AUGUST 17, 2021

These enterprises are charting a new course for what it means to be truly data-driven in today’s world: having trusted, reliable data in industries such as B2B SaaS, digital marketplaces, financial technology, eCommerce, consumer technology, and retail. said Pablo Recio, a Data Engineer, Hotjar. ”

Insurance 40

Insurance Retail Data Pipeline Portfolio 40

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. All this investment that I was making in this data stack was for naught,” they said. How does this impact the data?

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. All this investment that I was making in this data stack was for naught,” they said. How does this impact the data?

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52