Netflix Tech

MARCH 10, 2023

Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc. This pattern grows over time when we need to access and update the existing assets metadata.

Management 94

Management Kafka Metadata Media 94

Snowflake

APRIL 29, 2024

Recover: establish processes for rapid recovery after incidents to ensure business continuity. This translates to several key requirements and their associated benefits: More stringent technical and process-oriented security measures, enhancing protection for both FEs and their ICT third-party providers. Five Core Pillars of DORA 1.

Transportation 83

Transportation Data Governance Government Consulting 83

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. But before we begin, Let’s have a look at what we will be covering in this blog: What is MLOPS? Why do we need MLOPS?

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Netflix Tech

JUNE 1, 2023

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. Basic with ads was launched worldwide on November 3rd.

Algorithm 136

Algorithm Metadata Kafka Systems 136

Cloudera

AUGUST 10, 2021

We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. . Impala Row Filtering to set access policies for rows when reading from a table. We expand on this feature later in this blog. x, and 6.3.x,

Cloud 96

Cloud Kafka Metadata SQL 96

Databand.ai

JULY 19, 2023

This allows businesses to identify any transformations or processes that may be compromising the data’s integrity. Root cause analysis and debugging: Data lineage tools facilitate this process by providing a clear view of the data’s journey, allowing businesses to pinpoint exactly where the issue occurred.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Cloudera

NOVEMBER 29, 2023

The Model Registry is designed to streamline these processes, offering a variety of tools and features. It simplifies recording model parameters, metadata, and metrics ensuring transparent bookkeeping. You can track each iteration, compare changes, and ensure that you always have access to the version that suits your needs.

Machine Learning 84

Machine Learning Metadata Cloud Project 84

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This blog post aims to help you understand what you can do to get started with generative AI assisted SQL using Hue image version ​​2023.0.16.0

SQL 71

SQL Data Warehouse AWS Architecture 71

Cloudera

MARCH 3, 2022

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. Afterall, retrofitting good governance is a momentous task.

Data Governance 96

Data Governance Government Metadata Medical 96

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. Implementation: Implementation: We developed a Snowpark script to process customer transaction data stored in the Snowflake database.

Retail 40

Retail Data Ingestion Metadata Datasets 40

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

Databand.ai

AUGUST 30, 2023

A data quality strategy details the processes, tools, and techniques employed to ensure your company’s data is accurate, consistent, complete, and up-to-date. This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management.

Building 52

Building Data Cleanse Data Governance Datasets 52

LinkedIn Engineering

DECEMBER 19, 2023

These clusters are the backbone for storing and processing extensive data volumes, empowering us to deliver essential features and services to members, such as personalized recommendations, enhanced search functionality, and valuable insights. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

Big Data 92

Big Data Hadoop Metadata Data 92

Cloudera

MARCH 14, 2023

In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Data Pipeline 81

Data Pipeline Designing Kafka Metadata 81

Cloudera

AUGUST 26, 2021

In this blog post, we will ingest a real world dataset into Ozone, create a Hive table on top of it and analyze the data to study the correlation between new vaccinations and new cases per country using a Spark ML Jupyter notebook in CML. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 109

Data Science Cloud Hadoop Metadata 109

Data Engineering Weekly

MARCH 10, 2024

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Data engineers build the systems that store and process sensitive information.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Cloudera

JULY 14, 2023

In this blog, I will describe a few strategies one could undertake for various use cases. It could be much easier to simply stop all those jobs rather than allowing them to continue during the migration process. This will be discussed in a later blog. Hive creates Iceberg’s metadata files for the same exact table.

Metadata 69

Metadata Data Warehouse Big Data Ecosystem Java 69

Cloudera

AUGUST 3, 2021

The last eighteen months is causing supply chain forecasters to rethink the definition and incorporate risk into the planning process. . Point solutions promote themselves as being specialists in specific business process areas and the preferred solution – data warehousing, machine learning as examples.

Manufacturing 108

Manufacturing Retail Entertainment Government 108

Workfall

AUGUST 23, 2023

Inside this directory, we’ll create a file named ‘manifest.json’ This file will play a crucial role in defining the metadata, permissions, and settings for our extension. Once we access the browser console, we’ll see the weather data containing all the necessary information provided by the OpenWeather API.

Metadata 83

Metadata Coding Project Utilities 83

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. In order to copy or migrate data from CDH cluster to CDP Data Lake cluster, the on-prem CDH cluster should be able to access the CDP cloud storage. Hadoop SQL Policies overview.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. 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. Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

DataKitchen

AUGUST 9, 2021

The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. It can orchestrate a hierarchy of directed acyclic graphs ( DAGS ) that span domains and integrates testing at each step of processing. How does one get access to a domain?

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Cloudera

DECEMBER 10, 2020

In a multi-tenant environment, many users access the same data sources. CDW’s engines such as Impala and Hive low-latency analytical processing (LLAP) directly operate on extremely compact open file formats, such as Parquet and ORC. CDW saves time and resources for end-user workloads but does not compromise metadata availability.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Cloudera

DECEMBER 9, 2022

This observation further emphasizes the need for universal developer accessibility , which makes sure that developer tooling is easy to use for newcomers while giving power users the advanced options they need. A critical aspect of universal developer accessibility is to provide dataflow development as a self-service offering to developers.

Designing 96

Designing Coding Google Cloud AWS 96

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. In an identity/access management application, it’s the relationships between roles and their privileges that matters most. Meanwhile, in Kafka, the data shows up as we expect but with some extra metadata published by the producer.

Kafka 55

Kafka Process Algorithm Cloud 55

Rockset

NOVEMBER 14, 2022

In this blog, we will describe the SSB configuration, results and performance enhancements. A predicate pushdown uses the predicate to filter the data in the query, moving query processing closer to the storage layer. RocksDB provides an in-memory cache, called the block cache, that keeps frequently accessed data blocks in memory.

Metadata 52

Metadata Datasets Cloud Accessible 52

Ripple Engineering

MARCH 30, 2023

This blog outlines Ripple’s general design and approach for machine learning model lifecycle management using Databricks. Challenges and Assumptions We need to track model files and all related metadata for models like training metrics, date trained, etc. Each cluster has a service account that has access to the requisite data.

Machine Learning 98

Machine Learning AWS Metadata Data Collection 98

Cloudera

SEPTEMBER 29, 2022

It is a set of rubrics around people, process, and technology choices that allow for companies to scale their data systems. . The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. Data mesh is about people, process, and technology. Data mesh defined.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

Cloudera

SEPTEMBER 23, 2020

Comprehensive auditing is provided to enable enterprises to effectively and efficiently meet their compliance requirements by auditing access and other types of operations across OpDB (through HBase). User, business classification of asset accessed. Policy outcome (access or deny). Policy outcome (access or deny).

Database 81

Database Data Lake Metadata Java 81

Cloudera

FEBRUARY 17, 2022

Provides self-service access to integrated, multi-function analytics on centrally managed and secured business data. One of our previous blogs discussed the four paths to get from legacy platforms to CDP Private Cloud Base. The overall upgrade follows a three staged process illustrated below. . How to upgrade from HDP to CDP.

Cloud 96

Cloud Data Professional Services Metadata 96

Cloudera

AUGUST 10, 2021

and later, Ozone is integrated with Atlas out of the box, and entities like Hive, Spark process, and NiFi flows, will result in Atlas creating Ozone path entities. or higher with Kerberos enabled and admin access to both Ranger and Atlas. I mentioned at the beginning that you’d require a user with fairly open access in Hive and Ozone.

Hadoop 104

Hadoop Kafka Datasets Government 104

Data Engineering Podcast

AUGUST 5, 2019

What were the main assumptions that you had going into this project and how have they been challenged or updated in the process of building and using it? Once a dataset has been located, how does Amundsen simplify the process of accessing that data for analysis or further processing?

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Cloudera

JUNE 7, 2022

Common security, governance, metadata, replication, and automation enable CDP to operate as an integrated system. As big data has evolved to cloud data and now to hybrid data, it has gotten more complex for businesses to access, use and create value from it. We believe that data can make what is impossible today, possible tomorrow.

IT 108

IT Unstructured Data Data Architecture Government 108

Cloudera

SEPTEMBER 30, 2021

Our recent blog discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. The overall upgrade follows a seven-step process illustrated below. Run Upgrade.

Cloud 70

Cloud PostgreSQL Metadata MySQL 70

Workfall

AUGUST 14, 2023

In this blog, we will explore the benefits of using DBT and Airflow together and how they make data pipeline management easier than ever before. In this blog, we will cover: Understanding DBT and Airflow What is DBT? Together, they form a dynamic duo that simplifies and streamlines the entire data pipeline process.

Data Pipeline 62

Data Pipeline Raw Data Data Database 62

Netflix Tech

DECEMBER 8, 2021

We currently process tens of millions of log records every minute and analyze these events to perform in-house custom detections. Once ingested, findings are then enriched and processed with additional metadata collected from Netflix’s internal data sources. Make sure to check out some of our other recent blog posts!

AWS 78

AWS Metadata Cloud Utilities 78

Cloudera

SEPTEMBER 28, 2020

Attribute-based access control and SparkSQL fine-grained access control. Store and access schemas across clusters and rebalance clusters with Cruise Control. This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort.

Cloud 131

Cloud Kafka Professional Services Metadata 131