Lyft Engineering

OCTOBER 3, 2023

Finally, as the subject of this blog post, we can assess data quality via batch compute analytics on our data warehouse, providing a comprehensive albeit slower evaluation compared to the previously mentioned methods. Streaming compute however, empowers more complex window queries on semantic correctness.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudyard

APRIL 4, 2024

This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights. Scalability: Handles large datasets efficiently, making it ideal for growing businesses. However, RFM stands for Recency, Frequency, and Monetary Value.

Retail 40

Retail Data Ingestion Metadata Datasets 40

phData: Data Engineering

DECEMBER 16, 2021

If you missed our first blog on what a data catalog is , be sure to check it out! In this blog, we’ll explore what the ideal team to support your data catalog looks like. The Business Steward will be most familiar with the business drivers mentioned in the first blog in this series. How will Human-Driven Metadata be Captured?

Metadata 52

Metadata Datasets Data Education 52

Netflix Tech

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. During this evolution, quite often we receive requests to update the existing assets metadata or add new metadata for the new features added.

Management 94

Management Kafka Metadata Media 94

LinkedIn Engineering

DECEMBER 12, 2023

We say that an algorithm is differentially private if any result of the algorithm cannot depend too much on any single data record in a dataset. Hence, differential privacy provides uncertainty for whether or not an individual data record is in the dataset.

Algorithm 77

Algorithm Metadata SQL Datasets 77

Datakin

AUGUST 5, 2021

Blog A real-time approach to data lineage Written by Ross Turk on August 5, 2021 A data ecosystem that spans multiple pipelines, teams, and platforms can be overwhelming. Each dataset and job exists in a unique operational context, with interdependencies that may seem simple…until they multiply.

Metadata 52

Metadata Relational Database Datasets SQL 52

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. Check out our Data Governance on Snowflake blog! Metadata Management Data modeling methodologies help in managing metadata within the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Datakin

SEPTEMBER 13, 2021

Blog Datakin in 104 seconds Written by Ross Turk on Sep 13, 2021 Hi! Datakin observes your jobs as they run, collecting metadata that helps you understand how data flows through your ecosystem. View our instant demo system right now, or sign up for Datakin to see it with your own datasets and jobs.

Metadata 52

Metadata Datasets Data Pipeline Systems 52

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 More on this later in the blog.

Data Warehouse 106

Data Warehouse Metadata Datasets Data 106

Cloudera

AUGUST 10, 2021

For example, writing a Spark dataset to Ozone or launching a DDL query in Hive that points to a location in Ozone. I’ve chosen those names because I’ll be using an easy method for generating and writing TPC-DS datasets, along with creating their corresponding Hive tables. Create a dataset from the customer table. With CDP 7.1.4

Hadoop 103

Hadoop Kafka Datasets Government 103

Data Engineering Weekly

OCTOBER 30, 2022

I found the blog helpful in understanding the generative model’s historical development and the path forward. link] ABN AMRO: Building a scalable metadata-driven data ingestion framework Data ingestion is a heterogenous system with multiple sources with its data format, scheduling & data validation requirements.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. Where is your metadata stored? You can determine which datasets are popular and might be a good candidate to transition to the data catalog right away.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Cloudera

SEPTEMBER 29, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 A TPC-DS 10TB dataset was generated in ACID ORC format and stored on the ADLS Gen 2 cloud storage. benchmark.

Data Warehouse 115

Data Warehouse Cloud Storage Metadata Cloud 115

Knowledge Hut

OCTOBER 26, 2023

In this blog, we'll explore a curated selection of beginner-friendly machine learning projects that will not only help you grasp the fundamentals but also inspire your passion for this ever-evolving technology. It includes the UCI machine learning repository and dataset.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Advancing Analytics: Data Engineering

SEPTEMBER 7, 2021

Sometimes just a change in personnel can begin the chain reaction of orphaned datasets and forgotten definitions. "By Without descriptive metadata and a mechanism to maintain it, the data lake risks turning into a data swamp." - Gartner 2014 - [link] So here is where these next few blog articles come in. employee_id = updates1.employee_id"

Data Lake 52

Data Lake Datasets Data Warehouse SQL 52

AltexSoft

AUGUST 3, 2021

This blog entry is particularly helpful to anyone who wants to. Data annotation follows a meticulous process of adding metadata to a dataset. This metadata is always in the form of tags, which then can be added to various data types like text, images, and video. Explaining Data Annotation for ML. Use Tight Bounding Boxes.

Datasets 59

Datasets High Quality Data Metadata Raw Data 59

Rockset

NOVEMBER 14, 2022

In this blog, we will describe the SSB configuration, results and performance enhancements. For this benchmark, Rockset denormalized the data and scaled the dataset size to 100 GB and 600M rows of data, a scale factor of 100. Rockset used its XLarge Virtual Instance (VI) with 32 vCPU and 256 GiB of memory.

Metadata 52

Metadata Datasets Cloud Accessible 52

Cloudera

JUNE 25, 2021

This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. The Sentry service serves authorization metadata from the database backed storage; it does not handle actual privilege validation. This blog post is not a substitute for that.

Cloud 68

Cloud Data Lake Cloud Storage Metadata 68

Cloudera

SEPTEMBER 24, 2020

However, there is a secret I am keeping to the end of the blog, which makes the decision even easier for the user: so easy in fact, you do not even have to decide yourself. Well, generally speaking, Impala works best when you are interacting with a data mart, which is typically a large dataset with a schema that is limited in scope.

Data Warehouse 68

Data Warehouse SQL Engineering Metadata 68

Data Engineering Podcast

AUGUST 5, 2019

Once a dataset has been located, how does Amundsen simplify the process of accessing that data for analysis or further processing? Links Amundsen Data Council Presentation Strata Presentation Blog Post Lyft Airflow Podcast.__init__ Links Amundsen Data Council Presentation Strata Presentation Blog Post Lyft Airflow Podcast.__init__

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Monte Carlo

MARCH 3, 2021

Instead, we only extract query logs, metadata, and aggregated statistics about data usage to ensure that your most critical data assets are as trustworthy and reliable as possible. And this only scratches the surface of our commitment to our customers’ security and privacy. What’s next?

Metadata 52

Metadata Data Lake Business Intelligence Certification 52

Rockset

AUGUST 28, 2023

{{QUERY_ID}} and {{QUERY_RESULTS}} are template values that Rockset provides automatically for scheduled query lambdas so that you can use the ID of the query and the resulting dataset in your webhook calls. This is the dataset we want to periodically export to S3. In this case, we’re only interested in the query results.

AWS 52

AWS SQL Datasets Metadata 52

Knowledge Hut

OCTOBER 26, 2023

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. blog) easily using any of your preferred CMS. For this project, use the Amazon Customer Reviews dataset that contains product reviews from numerous Amazon customers. Why is Learning AWS Important?

AWS 52

AWS Coding Project Cloud Computing 52

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Metadata management skills Metadata management unlocks the value of a company’s data and it’s a data architect’s task to ensure metadata principles are applicable to all data a business has.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Rockset

APRIL 18, 2023

Real-time anomaly detection using the BETH cybersecurity dataset, Feast and Rockset In this example, given some service logs we want to be able to quickly extract features and pipe them into a model that will then generate output indicating a threat probability. Learn more about how to use vector search on the Rockset blog.

Machine Learning 52

Machine Learning Datasets Database Data Pipeline 52

dbt Developer Hub

AUGUST 23, 2022

This configuration allows you to define any metadata dictionary that you want. Collisions - Although it's exceedingly rare, depending on the hashing algorithm you use, it's possible for two different sets of inputs to produce the same outputs, causing erroneous duplicate records in your dataset. x 10E19 aka a whole lot of data).

Datasets 52

Datasets Metadata SQL Data Warehouse 52

Rockset

AUGUST 2, 2023

In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data. They used MongoDB as their metadata store to capture vessel and company data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

DataKitchen

MAY 4, 2023

Instead of boiling the ocean and focusing on all datasets and customers, the Data Mesh focuses on fewer datasets and customers, which reduces complexity and helps get more done. Data Mesh Bergh explained that the Data Mesh organizes a team’s work into chunks called decentralized domains.

Raw Data 52

Raw Data Data Datasets Metadata 52

Pinterest Engineering

NOVEMBER 4, 2022

We serve the latest 100 user actions as a sequence, populated with pin embeddings and other metadata. As we retrain the Homefeed ranking model with this shifted dataset, there’s a positive compounding effect that makes the retrained model more powerful, thus, a higher engagement rate. This then loops us back to 1.

Architecture 52

Architecture Software Engineer Software Engineering Metadata 52

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs. Investigating a video streaming failure consists of inspecting all aspects of a member account.

Building 93

Building Transportation Metadata Java 93

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

Datasets 102

Datasets Bytes Process Data Ingestion 102

LinkedIn Engineering

MARCH 21, 2023

In this blog, we’ll discuss the ways in which we’re continuously investing in our skills taxonomy to build a strong, reliable foundation for our Skills Graph to help ensure we can match our members’ skills to opportunity and knowledge. Some highly utilized skills, such as “Cadence” or “Boundary,” include obscure or ambiguous terms.

Building 85

Building Recruitment Machine Learning Deep Learning 85

DataKitchen

JANUARY 5, 2021

Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis. Prepackaged datasets – clean, accurate, privacy and security-aware. Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL. For example: Complete toolchain. Security vault providing access to tools.

Data Governance 59

Data Governance Government Metadata Data Science 59

Rockset

SEPTEMBER 14, 2021

In this blog, we introduce how the Kafka Integration with native support for Confluent Cloud and Apache Kafka works and walk through how to run real-time analytics on event streams from Kafka. A customer creates a new Kafka collection through the API server endpoint and Rockset stores the collection metadata inside the admin server.

Kafka 52

Kafka SQL MongoDB Computer Science 52

RandomTrees

SEPTEMBER 6, 2020

This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics. The services provided in this layer include authentication, infrastructure management, metadata management, query parsing and optimization, access control etc.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Databand.ai

NOVEMBER 4, 2022

Specifically, Databand collects metadata from all key solutions in the modern data stack, builds a historical baseline based on common data pipeline behavior, alerts on anomalies and rules based on deviations, and resolves through triage by creating smart communication workflows. But when the data comes through, we see six columns.

Data 52

Data Data Pipeline Retail Metadata 52