The Modern Data Company

JANUARY 22, 2024

This strategic vision has not only broken down data silos but has enabled clients to build a quality and sustainable data initiative that reaches every single department. Data engineering excellence Modern offers robust solutions for building, managing, and operationalizing data pipelines.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Snowflake

JANUARY 23, 2024

We have been making it easier and faster to build and manage ML models with Snowpark ML , the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake. Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

The Pragmatic Engineer

NOVEMBER 3, 2022

On Friday, they were told to print out their code for Musk and Tesla engineers to review it. He would like to see the most recent software code that they had written, the engineers were told. And he would like them to print the code out and show it to him. Any software engineer knows printing code makes no sense at all.

Software Engineer 130

Software Engineer Software Engineering Coding Media 130

Data Engineering Podcast

JULY 10, 2022

Summary Building a data platform is a journey, not a destination. Beyond the work of assembling a set of technologies and building integrations across them, there is also the work of growing and organizing a team that can support and benefit from that platform. Atlan is the metadata hub for your data ecosystem.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Monte Carlo

AUGUST 7, 2023

Prevention: Finally, data observability also provides mechanisms to prevent data issues from happening in the first place, like placing circuit breaking in pipelines and creating visibility around the impact code changes would make on data, among other proactive measures of preventing bad data from entering your pipelines in the first place.

Coding 52

Coding Data Software Engineer Software Engineering 52

The Modern Data Company

JANUARY 22, 2024

This strategic vision has not only broken down data silos but has enabled clients to build a quality and sustainable data initiative that reaches every single department. Data products contain data and its metadata, code, and infrastructure so that each product is self-contained and usable independently.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Data Engineering Podcast

JULY 3, 2022

She also discusses her views on the role of the data lakehouse as a building block for these architectures and the ongoing influence that it will have as the technology matures. Atlan is the metadata hub for your data ecosystem. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 20, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

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

Christophe Blefari

JUNE 16, 2023

Last week I shared nice QR Code generated with ControlNet, this week someone released a model on HuggingFace to do it QR Code Conditioned ControlNet (not related to the Chinese original paper) and you can even use the generator web UI. The past often changes, whether because of code or data. This is metrics drift. seed round.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Data Engineering Podcast

JUNE 5, 2022

The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems. Atlan is the metadata hub for your data ecosystem. Data teams are increasingly under pressure to deliver.

Data Security 100

Data Security Metadata MongoDB Scala 100

ThoughtSpot

JANUARY 31, 2024

Since GPT’s release, LLMs have made it easier to translate natural language into SQL and other forms of code. We’ll also be rolling out the BI industry’s most advanced human-in-the-loop feedback (HITL) capabilities that center human knowledge, business context, and security to build trust and accuracy across your organization.

BI 89

BI Business Intelligence Machine Learning Metadata 89

Data Engineering Podcast

MAY 18, 2021

In order to eliminate the wasted effort of building custom integrations every time you want to combine lineage information across systems Julien Le Dem introduced the OpenLineage specification. What is the current state of the ecosystem for generating and sharing metadata between systems? What are your goals for the OpenLineage effort?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Rockset

APRIL 18, 2023

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Workfall

AUGUST 23, 2023

Hands-On Required installations: To perform the demo, you require the following installations: Visual Studio Code (IDE): It is a feature-rich source code editor designed to enhance coding speed and efficiency by offering a wide range of useful tools. Open VS Code and click on open, to open the directory you just created.

Metadata 83

Metadata Coding Project Utilities 83

Snowflake

MARCH 12, 2024

For example, people get zip codes wrong all the time; they misspell city names and mix up street designations. It also provides metadata on what assumptions and fixes were used to inform the address match. There’s so much we can do to bring this data to life.”

Business Analyst 97

Business Analyst Retail Business Intelligence Data Analysis 97

Data Engineering Podcast

DECEMBER 16, 2019

Summary Building clean datasets with reliable and reproducible ingestion pipelines is completely useless if it’s not possible to find them and understand their provenance. The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Knowledge Hut

MAY 26, 2024

The system is designed to simplify life cycle management, allowing developers to focus on their application code rather than infrastructure maintenance. It houses metadata and both the desired and current state for each resource. However, to install Kubernetes on Linux, run the terminal and input the following codes.

Metadata 52

Metadata Certification Accessible Accessibility 52

Knowledge Hut

DECEMBER 29, 2023

Front-end development, or client-side development, involves building the User Interface (UI) of a website or a web application, that determines how every part of a website will look and how it will work. For example, let us look at the code snippet below. <!DOCTYPE The below code snippets show how styles are added using CSS. <html>

Portfolio 98

Portfolio Amazon Web Services Programming Language Coding 98

The Modern Data Company

MARCH 7, 2023

A common example of a taxonomy is the Dewey Decimal System of library classification, in which numbers form a code that correlate to topics, subtopics, and sub-subtopics. For various reasons, the data sometimes can’t be re-tagged to provide consistent metadata. Analytic geometries 516.37

Data Governance 52

Data Governance Government Metadata Datasets 52

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. , Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Now, it’s going to be about leveling up to building the actual implementation of the unstructured data.”

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Ascend.io

APRIL 7, 2023

Data mesh’s distributed nature helps data engineering teams become more agile , connecting data product building blocks that already exist to form other data products. In other words, the product one person builds might have inputs from another product. They can build on each other’s work. Increasing speed.

Metadata 52

Metadata Datasets Data Governance Government 52

Confluent

APRIL 10, 2019

I recommend you familiarize yourself with that blog post and the accompanying white paper before proceeding, because this blog post builds on those core concepts. For example, when Confluent Monitoring Interceptors are configured on Kafka clients, they write metadata to a Kafka topic called _confluent-monitoring. Try it out yourself.

Kafka 83

Kafka Metadata Java Cloud 83

Monte Carlo

MARCH 1, 2022

Previously, Monte Carlo customers utilized APIs to build on top of our data observability platform. The release of Pycarlo immediately extends the impact and coverage of data observability for our customers, who can now easily aggregate metadata and update logic and monitors across tables in bulk. Aggregating metadata.

Python 52

Python Metadata Business Intelligence Data Engineering 52

Netflix Tech

OCTOBER 27, 2021

The GUI can be extended with plugins, allowing the community to build integrations to other systems, custom visualizations, and embed upcoming features of Metaflow directly into its views. It allows data scientists to define ML workflows, test them locally, scale-out to the cloud, and deploy to production in idiomatic Python code.

Python 89

Python Machine Learning Data Science Metadata 89

dbt Developer Hub

JANUARY 24, 2023

CI is a software development practice that ensures we automatically test our code prior to merging into another branch. This job will only run and test the code that's been modified within that specific pull request. yml Key pieces: pr : A pull request trigger specifies which branches cause a pull request build to run.

Metadata 52

Metadata Python Cloud Data Warehouse 52

Netflix Tech

NOVEMBER 23, 2020

The gRPC code is auto-generated from the gNMI protobuf model and gNMI carries the data modeled in OpenConfig, which has some encoding. Our goals in building a gateway to consume and distribute data from gNMI were similar to goals in services that we’ve built in the past for SNMP and CLI screen-scraping.

Transportation 74

Transportation Coding Certification Utilities 74

phData: Data Engineering

DECEMBER 16, 2021

Where is your metadata stored? Cloud-native architecture could also mean that infrastructure as code (IaC) is a possibility. This feature will help build lineage and will let you see any current usage patterns. As a result, it is important to know what is happening to your data.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

AltexSoft

NOVEMBER 7, 2022

It sticks to the workflow as code philosophy which makes the platform unsuitable for non-developers. Each DAG is essentially a Python script that represents workflow as code. Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Rockset

APRIL 18, 2023

Just like how a git repo lets an engineering team use and modify the same pool of code, a feature repo lets people share and manage the same set of features. We will use one of the files for the demo but the steps below can be applied to all files. Let’s analyze the process calls. 0 0 Ok, we have the imported data.

Machine Learning 52

Machine Learning Datasets Database Data Pipeline 52

Datakin

OCTOBER 14, 2021

Clone the project repository from GitHub and cd into the new directory: % git clone [link] % cd demo/dbt/stacko Install dbt and the OpenLineage integration inside a Python virtual environment: % python3 -m venv datakin-dbt % source datakin-dbt/bin/activate % pip3 install dbt openlineage-dbt Add an entry to ~/.dbt/profiles.yml That looks good.

Google Cloud 52

Google Cloud Datasets Bytes Metadata 52

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Building the KPay payment system. We need to build something real, such as a payment system.

Kafka 91

Kafka Pipeline-centric Architecture Database-centric 91

Cloudera

MARCH 15, 2023

In this post I am going to set up a demo environment with a Spring Boot microservice and a streaming cluster using Cloudera Public Cloud. The record in the “outbox” table contains information about the event that happened inside the application, as well as some metadata that is required for further processing or routing.

PostgreSQL 89

PostgreSQL Kafka Database Data 89

AltexSoft

MARCH 30, 2023

Unity catalog serves as a centralized metadata management and data governance layer for all Databricks data assets, including tables, files, dashboards, and machine learning models. Besides that, its native integration with MLflow , an open-source tool for building machine learning pipelines in production, backs MLOps initiatives.

Scala 64

Scala Data Lake BI Google Cloud 64

AltexSoft

OCTOBER 8, 2021

For this purpose, you will have to build a 360-degree customer picture. While data integration is attractive and fruitful in many ways, building such a solution in-house is a complex, time-consuming task that would require a lot of resources. To make a more informed decision, enquire about demos and do your own in-depth research.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Confluent

APRIL 30, 2019

Full code on GitHub. When building a topology with the Processor API, you explicitly name each processing node in the topology, and also provide the name(s) of all of its parent nodes (the only exception are source nodes, which do not have any parents). Full code on GitHub. build(properties); System. Full code on GitHub.

Kafka 89

Kafka Coding Process Bytes 89

Data Engineering Podcast

JANUARY 28, 2018

Your host is Tobias Macey and today I’m interviewing Danielle Robinson and Joe Hand about Dat Project, a distributed data sharing protocol for building applications of the future Interview Introduction How did you get involved in the area of data management? What have been the most challenging aspects of building and promoting Dat?

Data 100

Data Project Electronics Data Management 100