phData: Data Engineering

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Efficiency through being able to streamline data storage and retrieval processes.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Data Engineering Podcast

AUGUST 13, 2022

Can you share your definition of "data discovery" and the technical/social/process components that are required to make it viable? Can you share your definition of "data discovery" and the technical/social/process components that are required to make it viable?

Metadata 100

Metadata MongoDB Scala MySQL 100

Grouparoo

FEBRUARY 9, 2022

ETL (Extract, Transform, Load) refers to the process of extracting data from source systems, transforming it into appropriate formats, and loading it into a target system. ETL testing is the process of verifying and validating the data being moved to ensure that it is extracted, transformed, and loaded correctly into the destination system.

Process 52

Process ETL System Data Warehouse Metadata 52

Precisely

MAY 13, 2024

With these factors and more in mind, starting the process can feel overwhelming – but not to worry. Whether you’re bringing a new system online or connecting an existing database with your analytics platform, the process should be simple and straightforward. How much time is required from me for this process? #3.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Netflix Tech

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Data Engineering Podcast

SEPTEMBER 14, 2020

Tree Schema is a data catalog that is making metadata management accessible to everyone. Tree Schema is a data catalog that is making metadata management accessible to everyone. Go to dataengineeringpodcast.com/linode today and get a $60 credit to try out a Kubernetes cluster of your own.

Process 100

Process Unstructured Data Metadata Data Engineering 100

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Jesse Anderson

NOVEMBER 14, 2023

That is done via a careful examination of all metadata repositories describing data sources. Once those repositories have been carefully studied, the identified data sources must be scanned by a data catalog, so that a metadata mirror of these data sources are made discoverable for the operations team.

Metadata 147

Metadata Data Science Big Data Data 147

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game. This post is a perfect place to get acquainted with intelligent document processing.

Technology 64

Technology Process Insurance Medical 64

Precisely

NOVEMBER 14, 2023

This journey must include a strong data governance framework to align people, processes, and technology, and enable them to understand and trust their data and metadata to achieve their business objectives. How do we align this critical spatial data to our business goals, objectives, metrics, and processes?

Data Governance 119

Data Governance Government Metadata Retail 119

Ascend.io

APRIL 22, 2024

A unified platform that combines a powerful metadata core, an extensible plugin architecture, DataAware automation, and multiple AI Assistants. Lack of unified metadata makes it difficult to optimize pipelines, avoid redundant processing, and quantify data engineering costs.

Project 52

Project Metadata Data Pipeline Data Engineering 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

Snowflake

DECEMBER 4, 2023

With this public preview, those external catalog options are either “GLUE”, where Snowflake can retrieve table metadata snapshots from AWS Glue Data Catalog, or “OBJECT_STORE”, where Snowflake retrieves metadata snapshots directly from the specified cloud storage location. With these three options, which one should you use?

Building 95

Building Metadata Cloud Storage AWS 95

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. Learn about how Psyberg leverages Iceberg metadata to handle late-arriving data, and improves data pipelines while simplifying on-call life!

Data Engineering 103

Data Engineering Data Engineer Engineering Metadata 103

Christophe Blefari

MARCH 1, 2023

You can also add metadata on models (in YAML). docs — in dbt you can add metadata on everything, some of the metadata is already expected by the framework and thank to it you can generate a small web page with your light catalog inside: you only need to do dbt docs generate and dbt docs serve.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Towards Data Science

MAY 7, 2024

I wanted to throw together some notes on key evaluation questions, as well as a few ways to check functionality, as I’m confident that this is a process that I will encounter again and again, and I like to have a template for these types of things. Gather the team together and determine what these things are.

ETL Tools 84

ETL Tools Metadata Data Integration Data Science 84

Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Podcast

FEBRUARY 19, 2023

How does that change based on the type of query/processing engine being used? Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform.

IT 147

IT Data Lake Metadata Data Warehouse 147

Data Engineering Weekly

MARCH 24, 2024

As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service. The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Edureka

MAY 6, 2024

It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end process of building, deploying, and maintaining machine learning applications. This old process was slow and could lead to mistakes. For some, MLOPS might be a completely new topic, but there are no worries.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Precisely

JUNE 6, 2023

Tendü Yogurtçu offered that organizations today are viewing data as a product, and they are working to streamline access to both data and metadata for faster insights that help business users deliver tangible value. Metadata , taking on an equal position alongside other data as a first-class citizen in the modern data stack, is the solution.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Monte Carlo

JANUARY 5, 2024

In this article, we’ll peel back the 5 layers that make up data lakehouse architecture: data ingestion, data storage, metadata, API, and data consumption, understand the expanded opportunities a data lakehouse opens up for generative AI, and how to maintain data quality throughout the pipeline with data observability. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

In this article, we’ll peel back the 5 layers that make up data lakehouse architecture: data ingestion, data storage, metadata, API, and data consumption, understand the expanded opportunities a data lakehouse opens up for generative AI, and how to maintain data quality throughout the pipeline with data observability. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Netflix Tech

JUNE 1, 2023

Next, we launched a Mantis job that processed all requests in the stream and replayed them in a duplicate production environment created for replay traffic. It also included metadata about ads, such as ad placement and impression-tracking events. The Mantis query language allowed us to set the percentage of replay traffic to process.

Algorithm 136

Algorithm Metadata Kafka Systems 136

The Modern Data Company

APRIL 15, 2024

Its job, from its position near the end of the data processing line, is similar to that of a librarian who: Answers queries from various departments looking for specific insights. Rich context: Data Products embed metadata, or data about the data, ensuring that every piece of information is meaningful and contextualized.

Government 52

Government Metadata Data Data Lake 52

ThoughtSpot

MAY 31, 2023

Looking more broadly, we’ll also describe the security process we follow during any application iteration or enhancement, so you can see the great lengths we take to keep your data secure. This multi-tenant service isolates the tenant metadata index, authorizing and filtering the search answer requests from every tenant.

Data Security 86

Data Security Metadata Transportation Data Warehouse 86

Confluent

FEBRUARY 21, 2019

By taking data from a tool such as Sysmon and streaming it into Kafka for processing in KSQL, you can rapidly detect suspicious behavior by looking for a process spawning a new process that makes an external network connection. This is because the Create method allows a user to create a process either locally or remotely.

Process 81

Process Kafka Datasets SQL 81

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. The disconnection between the operational teams immersed in the day-to-day functions and those extracting business value from data generated in the operational processes still remains a significant friction point.

Systems 83

Systems Raw Data Metadata Data Cleanse 83

Ascend.io

FEBRUARY 28, 2024

Engineers ensure the availability of clean, structured data, a necessity for AI systems to learn from patterns, make accurate predictions, and automate decision-making processes. Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Lyft Engineering

SEPTEMBER 6, 2023

Routing overrides metadata: embed metadata in API request headers defining which offloaded deployment the request will get routed to. Context propagation : routing overrides metadata is propagated throughout the service mesh. Routing overrides metadata with ProxyApp Staging overrides was well-received by our product engineers.

Building 80

Building Metadata Electronics Engineering 80

Knowledge Hut

FEBRUARY 1, 2024

Movie Recommendation System Architecture The movie recommendation system architecture is a complex process that utilizes various algorithms to suggest movies to users based on their preferences. However, the quality of content-based filtering can be affected if a movie's metadata is incorrectly labeled, misleading or limited in scope.

Systems 98

Systems Entertainment Algorithm Datasets 98

Knowledge Hut

MARCH 7, 2024

Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. The greatest data processing challenge of 2024 is the lack of qualified data scientists with the skill set and expertise to handle this gigantic volume of data.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Rockset

APRIL 18, 2023

The process of manually tagging documents requires a host of steps like creating taxonomies, understanding search patterns, analyzing input documents, and maintaining custom rule sets. Feature Generation: Transform and aggregate data during the ingest process to generate complex features and reduce data storage volumes.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Monte Carlo

APRIL 20, 2024

To do this, you need data monitors that drill “ deep ” into the data using both machine learning and user-defined rules, as well as metadata monitors to scale “ broadly ” across every production table in your environment and to be fully integrated across your stack. What is data quality monitoring?

IT 52

IT Metadata Data Warehouse BI 52

Lyft Engineering

OCTOBER 3, 2023

These flow through Kafka , our event streaming platform, before being processed by Flink , our streaming compute framework. The lack of centralization in data quality also made the data discovery process inefficient, making it hard for data scientists and data engineers to identify trustworthy data.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89