Monte Carlo

JUNE 28, 2023

and Uniform The New Public Preview Features For Unity Catalog The Conclusion: Delta Sharing and Lakehouse Apps Keynote Kick-Off: Welcome To Generation AI Following a puff of smoke and red lazer light showm Databricks CEO, Ali Ghodsi, stormed the stage. From his perspective, this can only be done efficiently with platforms.

Data Warehouse 52

Data Warehouse Scala Unstructured Data Government 52

Monte Carlo

DECEMBER 14, 2022

As the creator of the data observability category, we’ve long recognized the challenges with data quality, and have been fortunate enough to receive direct feedback from our customers on how to improve and grow our product to meet the demands of modern data teams. In Q2, we also announced an exciting new integration with Databricks.

Data Lake 52

Data Lake BI Business Intelligence Metadata 52

Ascend.io

MARCH 23, 2023

Efficiency and productivity will be paramount in 2023 Teams will get extremely cost-conscious if they haven’t already. For the data engineering community, that translates to creating a more optimal foundation for data engineering, one that minimizes infrastructure spend and maximizes production of valuable data products.

Software Engineer 52

Software Engineer Software Engineering Data Ingestion Data Engineering 52

Monte Carlo

AUGUST 2, 2022

It costs millions of dollars in wasted revenue and up to 50 percent of a data engineering team’s time that could be spent building data products and ML models that move the needle for the business. End-to-end Spark lineage on top of Unity Catalog for your pipelines from the point it enters Databricks (or further upstream!)

Building 52

Building Data Lake Business Intelligence Data Pipeline 52

Monte Carlo

MAY 18, 2023

Instead, we more closely integrated with Databricks Unity Catalog. For light data governance use cases you may already be on platforms such as Databricks or Google BigQuerywhich provide data catalog options that will suffice such as Unity Catalog and Dataplex respectively. Tell us in the comments.

Metadata 64

Metadata Data Lake Government Data Governance 64

Scribd Technology

JULY 20, 2022

We also took advantage of the time to have multiple discussions with our colleagues at Databricks about their product and engineering roadmap, and where we can work together to improve the future of Delta Lake, Unity catalog, and more.

Kafka 52

Kafka Data Engineering IT 52

Monte Carlo

APRIL 24, 2023

Databricks Data Catalog and AWS Lake Formation are examples in this vein. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

JANUARY 16, 2024

Data warehouses like Snowflake or Google BigQuery have made improvements integrating streaming data capabilities while Databricks has added ACID properties via delta tables and its new Unity Catalog. Our promise: we will show you the product. Interested in scaling data quality with data observability?

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Monte Carlo

JANUARY 5, 2024

Databricks announced Unity Catalog to enable teams to more easily add structure like metadata to their data assets. Our promise: we will show you the product. Snowflake announced Snowpipe for streaming and refactored their Kafka connector, and Google announced Pub/Sub could now be streamed directly into the BigQuery.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Databricks announced Unity Catalog to enable teams to more easily add structure like metadata to their data assets. Our promise: we will show you the product. Snowflake announced Snowpipe for streaming and refactored their Kafka connector, and Google announced Pub/Sub could now be streamed directly into the BigQuery.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

SEPTEMBER 1, 2023

At its core, Lakehouse Monitoring tracks data quality anomalies, machine learning drift metrics, and (optionally) PII, with a few features that assist with root cause analysis such as segmentation analysis and data lineage via Unity Catalog. This produces deep insights without losing sight of the big picture.

BI 52

BI Data Pipeline Data Data Lake 52

Monte Carlo

JANUARY 12, 2024

On the data lake side, Databricks has launched Unity Catalog to help bring more metadata, structure, and governance to data assets. Beyond that, data catalogs can be used to outline how stakeholders can (and can’t) use data. Our promise: we will show you the product.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

Monte Carlo

AUGUST 28, 2023

Adam was a co-founder of Aerohive Networks and the open source AI project Donkey Carl, and — since 2018 — a product leader at Databricks. To use another hot topic word, this is a data product problem. We talk about data products like dashboards, a set of tables, or a set of views. And people are tired of broken data products.

High Quality Data 69

High Quality Data Government Data Data Pipeline 69

Towards Data Science

JULY 24, 2023

Databricks saw amazing growth with its focus on its Spark processing framework, but it’s also not a coincidence that it unlocked a new level of growth after adding metadata and ACID-like transactions within Delta tables and governance features within Unity Catalog. Are they talking about infrastructure or business value?

Metadata 96

Metadata Data Warehouse Data Lake Data Science 96

Monte Carlo

JUNE 26, 2023

By integrating Azure ML, joint customers will have access to the latest frameworks, streamlined development to production workflow for machine learning, and integrated CI/CD processes.” And we haven’t even started yet! There has been so much to unpack, and we haven’t even seen the opening keynotes!

BI 59

BI Machine Learning Data Science Cloud 59

Monte Carlo

OCTOBER 2, 2023

In addition to the trading activities, Abacus provides pharmaceutical services helping in particular smaller and mid-sized companies commercialise their products in Europe. The team plans to set up Unity Catalog in Databricks. “We Once the data team became aware of an issue, reaching a resolution was just as time-consuming.

Pharmaceutical 72

Pharmaceutical Healthcare Machine Learning Architecture 72

Monte Carlo

AUGUST 25, 2023

For instance, companies like Databricks have allowed users to add structure and metadata to their data lakes with features like Unity Catalog and Delta Lake. Convergence and recent product innovations The data lakehouse itself is a relatively new innovation.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Monte Carlo

SEPTEMBER 6, 2022

As part of this mission, Monte Carlo’s product, engineering, design, and data science teams are constantly releasing new product functionalities and features to improve the user experience and reduce time to detection, resolution, and prevention of broken data pipelines. See the latest capabilities in action in the video below!

Data Lake 52

Data Lake Machine Learning Data Science Data 52

Towards Data Science

OCTOBER 17, 2023

By: Jeff Chou, Stewart Bryson Image by Los Muertos Crew Databricks’ SQL warehouse products are a compelling offering for companies looking to streamline their production SQL queries and warehouses. Before we dive into a specific product, let’s take a step back and look at the different options available today.

SQL 52

SQL Cloud Data Science AWS 52

Monte Carlo

JULY 18, 2023

Databricks saw amazing growth with its focus on its Spark processing framework, but it’s also not a coincidence that it unlocked a new level of growth after adding metadata and ACID-like transactions within Delta tables and governance features within Unity Catalog. Are they talking about infrastructure or business value?

Metadata 52

Metadata Data Warehouse Data Lake Government 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments. A data fabric offers unity in a formerly disconnected, incompatible data environment. Multiple benefits characterize the data fabric.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments. A data fabric offers unity in a formerly disconnected, incompatible data environment. Multiple benefits characterize the data fabric.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

JULY 18, 2023

Databricks saw amazing growth with its focus on its Spark processing framework, but it’s also not a coincidence that it unlocked a new level of growth after adding metadata and ACID-like transactions within Delta tables and governance features within Unity Catalog. Are they talking about infrastructure or business value?

Metadata 40

Metadata Data Warehouse Data Lake Government 40