Monte Carlo

SEPTEMBER 6, 2022

Our biggest priority at Monte Carlo is to make the lives of our customers easier by reducing data downtime and helping them accelerate the adoption of reliable data at their companies. As a result, vendors like Databricks have moved toward allowing users to add more structure to their data via offerings like Delta Lake and Unity Catalog.

Data Lake 52

Data Lake Machine Learning Data Science Data 52

Ascend.io

MAY 23, 2023

They are blindsided when they read from a table they’ve been granted access to, only to find out it had been abandoned by the data engineers weeks ago. Innovation slows to a crawl, and staffing costs soar while the team’s productivity sags. But what if there was a better way? Where do orphaned datasets appear in Ascend?

Datasets 52

Datasets Data Pipeline Metadata Database 52

Monte Carlo

APRIL 24, 2023

Their revolutionary Delta Lake provides more metadata structure such as ACID transactions, schema enforcement, versioning, and unified batch/streaming capabilities. If you are looking for a data lake that can function across Delta, Iceberg, MinIO table formats and connect with Oracle, Teradata and more–Starburst may be for you.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

DECEMBER 7, 2021

Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline Various teams, like marketing, sales, and production, rely on big data to devise strategies for business growth. In this case, what would be the frequency of checking the sentimental analysis of a product? What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

MARCH 29, 2024

As this digitalized world is rapidly moving towards Artificial Intelligence , the generation of humongous data has become an integral part of our daily lives. Delta Lake - With Delta Lake, an open-source transactional storage layer built for the whole data lifecycle, you can scale and improve the data dependability of your current data lake.

Data Lake 52

Data Lake Scala Machine Learning SQL 52

LinkedIn Engineering

JULY 27, 2023

The Extract phase utilizes Azure Data Factory to manage data ingestion from sources like Azure Kusto Clusters, Delta Live Tables in Azure Databricks, LinkedIn's internal REST endpoints, and Azure Data Lake. Aux metadata table driven watermarking : Involves obtaining two values: left watermark and right watermark.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Rockset

OCTOBER 26, 2023

That’s why JetBlue innovates with real-time analytics and AI, using over 15 machine learning applications in production today for dynamic pricing, customer personalization, alerting applications, chatbots and more. BlueML has been central to supporting LLM-based applications and JetBlue’s AI & ML real-time products.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

DataKitchen

JULY 27, 2023

Azure Databricks Delta Live Table s: These provide a more straightforward way to build and manage Data Pipelines for the latest, high-quality data in Delta Lake. They allow users to create data preparation logic and store the output data in tables known as entities. Workflows is a DAG runner embedded in Databricks.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Scott Logic

NOVEMBER 6, 2023

Data dimensions to be processed In transactional systems we are typically fetching or updating a row that is associated with a person or product but in analytics we often want to do aggregates across columns for all users or products within a time window/location/other. matrix factorisation) and need a lot of memory.

Data Lake 52

Data Lake Kafka BI Unstructured Data 52

Ascend.io

JULY 28, 2023

The architecture also significantly affects the productivity of your team and the cost-effectiveness of your data operations. Precise orchestration, smart error correction, reliable fault detection, and ease of human intervention are just some of the capabilities that automation can bring to the table.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? It allows the creation of tables and databases in runtime, loading data, and running queries without reconfiguring or restarting the server. Hop onto the repository here: [link] 7. To embark on the repository: [link] 9.

Big Data 52

Big Data Project Metadata Programming Language 52

phData: Data Engineering

JANUARY 3, 2022

Software engineering practices define how to reliably and effectively build software and data products, delivering value faster to your customers. We’ll work through the different facets of taking your data and extracting business value with the same rigor and process companies apply to product development. No problem! Why is that?

IT 52

IT AWS Software Engineer Software Engineering 52

phData: Data Engineering

JANUARY 3, 2022

Table of Contents What is Data Engineering What is Data Governance? Your company likely generates data from internal systems or products, integrates with third-party applications and vendors, and has to provide data in a particular format for different users (internal and external) and use cases. What is Data Science?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Monte Carlo

MARCH 28, 2023

And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

Monte Carlo

AUGUST 15, 2023

Data teams can take advantage of Delta live tables , Snowpark , Kafka , Kinesis , micro-batching and more. Not every team has a real-time data use case, but those that do are typically well aware. It’s even more difficult to do when you are facing a constant backlog and ever increasing demand.

Data Storage 88

Data Storage Cloud Metadata Media 88

Towards Data Science

AUGUST 15, 2023

Data teams can take advantage of Delta live tables , Snowpark , Kafka , Kinesis , micro-batching and more. Not every team has a real-time data use case, but those that do are typically well aware. It’s even more difficult to do when you are facing a constant backlog and ever increasing demand.

Cloud 83

Cloud Metadata Media Machine Learning 83

Monte Carlo

AUGUST 15, 2023

Data teams can take advantage of Delta live tables , Snowpark , Kafka , Kinesis , micro-batching and more. Not every team has a real-time data use case, but those that do are typically well aware. It’s even more difficult to do when you are facing a constant backlog and ever increasing demand.

Cloud 69

Cloud Metadata Media Machine Learning 69

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. We are going to lead the revolution. Very cool stuff.

Data Warehouse 52

Data Warehouse Scala Unstructured Data Government 52

AltexSoft

MARCH 30, 2023

These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog. This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Delta Lake integrations.

Scala 64

Scala Data Lake BI Google Cloud 64

Data Engineering Weekly

FEBRUARY 5, 2023

The ML for large-scale production systems highlights the improvement made from the existing heuristic in the YouTube cache replacement algorithm with a new hybrid algorithm that combines a simple heuristic with a learned model, improving the byte miss ratio at the peak by ~9%. Please share in the comments if you found any reference to it.

Data Engineering 57

Data Engineering Data Engineer Engineering Food 57

Christophe Blefari

NOVEMBER 18, 2023

I think it will not be live but the recording will be published after the event on YouTube I think. The news arrived a few day after OpenAI dev-day , a public conference announcing new products and features. Onehouse , Microsoft and Google are working on table format standard called Onetable. I hope you will enjoy the selection.

Food 147

Food Data Data Lake Retail 147