phData: Data Engineering

OCTOBER 12, 2022

So you’ve heard all the talk around dbt , but now you’re working to determine if you should go with dbt Core or dbt Cloud and you’re wanting to know what advantages dbt Cloud has over the free dbt Core offering. However, dbt Cloud offers you much more than that.

Cloud 52

Cloud Metadata SQL Data Warehouse 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 95

Designing Process Government Metadata 95

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. Private Cloud Base Overview. The storage layer for CDP Private Cloud, including object storage. Traditional data clusters for workloads not ready for cloud. Edge or Gateway.

Architecture 96

Architecture Cloud Kafka Hadoop 96

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Review the Upgrade document topic for the supported upgrade paths.

Cloud 130

Cloud Kafka Professional Services Metadata 130

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Configure the required ports to enable connectivity from CDH to CDP Public Cloud (see docs for details).

Cloud 68

Cloud Data Lake Cloud Storage Metadata 68

Cloudera

FEBRUARY 17, 2022

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). Provides a consistent experience on Public Cloud, Multi-Cloud, and Private Cloud deployments. One of our previous blogs discussed the four paths to get from legacy platforms to CDP Private Cloud Base. Upgrade HDP 3.1.5

Cloud 95

Cloud Data Professional Services Metadata 95

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. DW1 is an anonymized cloud data warehouse running on AWS and DW2 is an anonymized data warehouse running on GCP. Impala use of KRPC (see dedicated blog post ).

Data Warehouse 90

Data Warehouse Cloud Consulting SQL 90

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Database 86

Database Cloud Data Warehouse Data Lake 86

Cloudera

OCTOBER 15, 2021

Apache Ozone is a distributed, scalable, and high performance object store, available with Cloudera Data Platform Private Cloud. CDP Private Cloud uses Ozone to separate storage from compute, which enables it to handle billions of objects on-premises, akin to Public Cloud deployments which benefit from the likes of S3.

Cloud 86

Cloud Hadoop Data Analytics Metadata 86

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. As of CDP Private Cloud Base 7.1.6 CDP Upgrade.mp4 . Zookeeper data.

Cloud 69

Cloud PostgreSQL Metadata MySQL 69

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. A solution.

Cloud 101

Cloud Data Warehouse Banking Data 101

Edureka

MAY 6, 2024

Whether you are a newbie or an experienced individual, if you want to explore more about the concepts of MLOPS, then you just click on the right blog. But before we begin, Let’s have a look at what we will be covering in this blog: What is MLOPS? Proper metadata management helps in understanding, grouping, and sorting data.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Christophe Blefari

JANUARY 20, 2024

Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. But it recently got challenged because of "infinite" cloud power with OBT (one big table or flat) model. This is often linked to real-time.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

NOVEMBER 29, 2023

It simplifies recording model parameters, metadata, and metrics ensuring transparent bookkeeping. The future of MLOps The evolving landscape of MLOps is increasingly embracing hybrid and multi-cloud systems, offering significant flexibility for machine learning operations.

Machine Learning 82

Machine Learning Metadata Cloud Project 82

Cloudera

FEBRUARY 9, 2021

Today, more and more customers are moving workloads to the public cloud for business agility where cost-saving and management are key considerations. Cloud object storage is used as the main persistent storage layer, which is significantly cheaper than block volumes. Avro Schema without Kafka Metadata Example. {. Cost-Effective.

Data Warehouse 67

Data Warehouse Cloud Kafka Cloud Storage 67

Data Engineering Podcast

SEPTEMBER 4, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

IT 100

IT Metadata MongoDB MySQL 100

Netflix Tech

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. Finally, provisioning our infrastructure itself is also becoming an increasingly complex task, so our data teams contribute to tools for diagnosis and automation of our cloud capacity management.

Cloud 73

Cloud Building Amazon Web Services Metadata 73

Netflix Tech

NOVEMBER 29, 2023

As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. and based on content characteristics and/or metadata signaled in the bitstream. A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. Krasula, A. Choudhury, S. Malfait, A.

Metadata 100

Metadata Electronics Algorithm Software Engineer 100

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

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. One possible solution is to adopt a hybrid cloud strategy. .

Data Governance 95

Data Governance Government Metadata Medical 95

Snowflake

APRIL 29, 2024

The Snowflake Data Cloud can be a valuable tool for FEs to achieve compliance with DORA and strengthen their overall operational resilience through robust security and advanced data management capabilities. How can Snowflake Help?

Transportation 82

Transportation Data Governance Government Consulting 82

Workfall

JUNE 12, 2023

In this blog, we will cover: What Is CDC and Its Benefits? These additional columns store metadata like timestamps, user IDs, and change types, ensuring granular change tracking and auditability. We will come up with more such use cases in our upcoming blogs. Where Is CDC Used and Who Uses It?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Cloudera

MARCH 2, 2023

In this blog post, we are going to share with you how Cloudera Stream Processing ( CSP ) is integrated with Apache Iceberg and how you can use the SQL Stream Builder ( SSB ) interface in CSP to create stateful stream processing jobs using SQL. Iceberg is a high-performance open table format for huge analytic data sets.

Process 112

Process SQL Kafka Database 112

Databand.ai

JULY 19, 2023

Learn more in our detailed guide to data lineage visualization (coming soon) Integration with Multiple Data Sources Data lineage tools are designed to integrate with a wide range of data sources, including databases, data warehouses, and cloud-based data platforms. It provides context for data, making it easier to understand and manage.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Cloudyard

DECEMBER 7, 2023

Read Time: 3 Minute, 0 Second In this blog post, we will delve into Snowflake’s Listing feature, which operates on the data sharing provider and consumer model. Consumer will create a Database from listing and Query the objects.

Metadata 52

Metadata SQL Data Cloud 52

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Then, we add hybrid architectures to the mix since they are here to stay and will not just be a “temporary state until we all move to the cloud.”. Data mesh defined.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

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

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities.

Data Pipeline 80

Data Pipeline Designing Kafka Metadata 80

Data Engineering Podcast

JANUARY 23, 2022

Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. You can observe your pipelines with built in metadata search and column level lineage. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Building 100

Building Management Data Pipeline Metadata 100

Cloudera

JUNE 7, 2022

Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. We can also do it with your preferred cloud – AWS, Azure or GCP.

IT 106

IT Unstructured Data Data Architecture Government 106

Cloudera

MARCH 17, 2023

Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse.

Education 60

Education Unstructured Data Data Lake Data Warehouse 60

Snowflake

NOVEMBER 30, 2023

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data. High data volumes in each iteration can also affect data transfer rates.

Data Warehouse 97

Data Warehouse Banking Data Cloud 97

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Data Engineering Weekly

MARCH 10, 2024

Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses. 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 Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Cloudera

JUNE 7, 2023

It operates independently from compute and storage layers, offering integrated security and governance based on metadata. With persistent context across analytics and cloud environments, SDX simplifies data delivery and access with a unified multi-tenant model. Understanding your data is critical to protecting the data.

Government 78

Government Metadata Data Lake Data 78

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. 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

Data Warehouse 115

Data Warehouse Cloud Storage Metadata Cloud 115

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. The same enterprise capabilities delivered on premises are optimized for cloud environments, taking advantage of the elasticity and delivering the self-service desired.

Cloud 40

Cloud Amazon Web Services AWS Metadata 40