Cloudera

APRIL 18, 2024

In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular. Learn more about how Cloudera is accelerating enterprise AI.

Metadata 108

Metadata Government Data Governance Data 108

Ascend.io

MARCH 20, 2023

S3 now provides intelligent tiering , which automatically moves data into cheaper (and slower) tiers based not on age, but access patterns to the data. This pattern is a great fit for intelligent pipelines, which access older and newer data based on its relevance to delivering data products.

Management 52

Management AWS Cloud Storage Data Pipeline 52

Ascend.io

MARCH 20, 2023

S3 now provides intelligent tiering , which automatically moves data into cheaper (and slower) tiers based not on age, but access patterns to the data. This pattern is a great fit for intelligent pipelines, which access older and newer data based on its relevance to delivering data products.

Management 52

Management AWS Cloud Storage Data Pipeline 52

Data Engineering Podcast

JANUARY 23, 2022

In this episode he shares his career journey, the challenges related to management of data professionals, and the platform design that he and his team have built to power analytics at a large company. You can observe your pipelines with built in metadata search and column level lineage. Closing Announcements Thank you for listening!

Building 100

Building Management Data Pipeline Metadata 100

Precisely

SEPTEMBER 5, 2023

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. Although MDM serves a vitally important function by ensuring the shared master data is managed correctly and is fit for purpose, it does not offer the same benefits as a full-blown data governance program.

Data Governance 52

Data Governance Government Data Management Management 52

Cloudera

APRIL 2, 2024

I am pleased to announce that Cloudera has achieved FedRAMP “In Process”, a significant milestone that underscores our commitment to providing the public sector with secure and reliable data management solutions across on-prem, hybrid and multi-cloud environments.

Designing 100

Designing Process Government Metadata 100

Data Engineering Podcast

NOVEMBER 13, 2022

Shane Gibson co-founded AgileData to make analytics accessible to companies of all sizes. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

Building 130

Building Metadata MongoDB MySQL 130

Data Engineering Podcast

FEBRUARY 19, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? Since it is a fundamentally a specification, how do you manage compatibility and consistency across implementations?

IT 147

IT Data Lake Metadata Data Warehouse 147

ProjectPro

FEBRUARY 16, 2023

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. Using this managed, economical solution, your data can be categorized, cleaned, enhanced, and moved from source systems to target systems.

AWS 52

AWS Data Management ETL Tools Management 52

Data Engineering Podcast

OCTOBER 30, 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. Closing Announcements Thank you for listening!

Business Intelligence 130

Business Intelligence Metadata MongoDB MySQL 130

The Modern Data Company

APRIL 15, 2024

Understanding Data’s Foundation Data modeling isn’t the first step in managing your company’s data; it’s more like a crucial phase that comes after several foundational layers. Manages information about data access and monitors data quality. Keeps the library orderly, adjusting as new data arrives.

Government 52

Government Metadata Data Data Lake 52

Towards Data Science

FEBRUARY 6, 2024

Even harder to manage, a common setup within large organisations is to have several instances of these systems with some underlaying processes in charge of transmitting data among them, which could lead to duplications, inconsistencies, and opacity. Accessibility : I could easily request access to these data products.

Systems 84

Systems Raw Data Metadata Data Cleanse 84

Towards Data Science

MAY 7, 2024

meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares. This will help create an overall picture of logging, metadata, latency, CDC, and all the other things that come with a pipeline. Gather the team together and determine what these things are.

ETL Tools 85

ETL Tools Metadata Data Integration Data Science 85

Data Engineering Podcast

DECEMBER 4, 2022

The typical conception of how it is accessed is through a web or desktop application running on a powerful laptop. This opens the door for busy employees to access and analyze their company information away from their desk, but it has the more powerful effect of bringing first-class support to companies operating in mobile-first economies.

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

François Nguyen

MARCH 22, 2021

With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. ” He/She is managing triggers, he/she needs to check conditions (event type ? What you have to code is this workflow !

Architecture 130

Architecture Technology Google Cloud Metadata 130

Snowflake

APRIL 29, 2024

The second batch of DORA policy products, which aims to strengthen oversight and risk management for third-party ICT providers, is currently under development. Identification of potential threats through data analysis and risk assessment processes to shift toward more proactive risk management. Five Core Pillars of DORA 1.

Transportation 81

Transportation Data Governance Government Consulting 81

Data Engineering Podcast

JULY 31, 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. What is your summary of the state of the market?

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

AUGUST 21, 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.

Metadata 100

Metadata MongoDB MySQL Data Lake 100

Data Engineering Podcast

AUGUST 28, 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. Closing Announcements Thank you for listening!

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

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

Data Engineering Podcast

AUGUST 6, 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.

Metadata 100

Metadata MongoDB MySQL Business Intelligence 100

François Nguyen

JANUARY 18, 2021

In every step,we do not just read, transform and write data, we are also doing that with the metadata. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.) Who has an access to this Data ? Who used this table ? What data do we have ?

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

Knowledge Hut

APRIL 4, 2024

Chef is an open-source configuration management tool developed by Opscode to solve the problem of manual and repetitive infrastructure management tasks. A recipe is a configuration file written in Ruby to configure and manage the infrastructure. chef-run: The Chef Workstation App manages and keeps your chef equipment up-to-date.

Architecture 52

Architecture Amazon Web Services Metadata AWS 52

ThoughtSpot

MAY 31, 2023

This includes services that: Manage and monitor the tenant-specific resources—this does not include access to tenant data Maintains indexed data to serve as your application home page. 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

Edureka

MAY 6, 2024

In your initial days, there were about 2-3 customers per day, and you used to cook manually for them, which was easy and also manageable for you, but now, as your business grows, the number of customers has increased, and now manually cooking for all of them becomes very difficult for you.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). The data is protected but it is also accessible by the people who need it.

Government 82

Government Metadata Data Lake Data 82

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Ascend.io

FEBRUARY 28, 2024

Here lies the critical role of data engineering: preparing and managing data to feed AI models. Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing. The foundation of any AI system is high-quality data.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Monte Carlo

JANUARY 29, 2024

It’s another thing to be able to effectively manage, govern and observe it over the long haul. By leveraging the metadata made available in Snowflake, Monte Carlo can automatically detect freshness and volume anomalies within days of deployment, without any additional configuration. Volume: Are there too many or too few rows?

Metadata 64

Metadata High Quality Data Data Pipeline Machine Learning 64

Data Engineering Weekly

DECEMBER 29, 2022

Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. I know that is an expensive statement to make😊 To be fair, I’m a big fan of data catalogs, or metadata management , to be precise. The modern(?)

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

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. Data observability also helps users identify the root cause of problem in the data.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Cloudera

AUGUST 10, 2021

Cloudera Manager enhancements for greater efficiency and hardened platform security. Impala Row Filtering to set access policies for rows when reading from a table. Figure 1: sales group SELECT access. The Atlas – Kafka integration is provided by the Atlas Hook that collects metadata from Kafka and stores it in Atlas.

Cloud 97

Cloud Kafka Metadata SQL 97

Data Engineering Weekly

MARCH 24, 2024

The APIs support emitting unstructured log lines and typed metadata key-value pairs (per line). The extracted key-value pairs are written to the line’s metadata. Query clusters support interactive and bulk queries on one or more log streams with predicate filters on log text and metadata.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Monte Carlo

MAY 18, 2023

You may even already have access to one of them. I understand the instinct to turn to open source, but I actually have a lower cost of ownership with a tool like Monte Carlo because the management burden is so low and the ecosystem works so well together. Rather it’s an open standard for metadata and data lineage collection.

Metadata 64

Metadata Data Lake Government Data Governance 64

Monte Carlo

MARCH 4, 2024

To do this, data observability solutions like Monte Carlo will piece together information from query logs, data aggregates and system metadata. All of this is to say that how table formats are structured, and specifically the metadata, impacts how they can be monitored and observed. Now data teams can have their lake and eat it too.

Metadata 52

Metadata Data Lake Data Warehouse Data Engineering 52

Cloudera

NOVEMBER 29, 2023

That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. It simplifies recording model parameters, metadata, and metrics ensuring transparent bookkeeping.

Machine Learning 86

Machine Learning Metadata Cloud Project 86