Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. Here are three key trends that will likely dominate the priorities of APAC’s business leaders in the coming year.

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Cloudera

JULY 21, 2022

Rill relieves that burden with a managed service offering or Druid monitoring for existing clusters. Druid’s native support for ingesting data from Apache Kafka allows it to stream data from Cloudera DataFlow to Rill’s fully managed Druid service. Co-author: Mike Godwin, Head of Marketing, Rill Data. Exactly once support.

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Metrics Data Technical Review Analytics 82

Cloudera

SEPTEMBER 17, 2020

They also reduced the negative impact and cost that moving data between systems and tools had on their business. A North American telecom company struggled for years trying to react quickly enough to new categories and new levels of spam texts and calls. This led them to fall behind. Our solution: Cloudera Data Visualization.

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Data How To Technical Review Systems Review 80

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. Advanced capabilitie.

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Cloudera

AUGUST 5, 2021

The complexity of workload and data dependencies. If your primary concern is keeping the maintenance window as short as possible, such as a few minutes to less than a few hours, then we would suggest using one of the Migration methods, moving workloads to new CDP clusters on-premises or in the cloud. In-place Upgrade.

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Cloudera

DECEMBER 20, 2023

In addition to these founding partners we’re also building tight integrations with our ecosystem accelerators: Hugging Face, the leading AI community and model hub, and Ray, the best-in-class compute framework for AI workloads. Those models are trained or augmented with data from a data management platform.

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Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

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Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). Users should be able to choose their tool of choice and take advantage of its workload specific optimizations.

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Cloudera

SEPTEMBER 8, 2021

In recent years there has been increased interest in how to safely and efficiently extend enterprise data platforms and workloads into the cloud. CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade.

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Cloudera

MAY 6, 2021

In the introductory article of this series, I presented the overarching framework for quantifying the value of the Cloudera Data Platform (CDP): . The answer is, yes, there are direct, quantifiable benefits by employing cloud arbitrage strategies, in addition to the broader, strategic advantages that a multi-cloud capability has.

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Cloudera

JUNE 14, 2021

This is all happening in the context of a global pandemic that has accelerated digital transformation and changed consumer behavior to the point that reliability and resilience are now primary considerations in selecting a communications provider. These dramatic, lurching changes are difficult to manage. The Surging Importance of Data.

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Telecommunications Cloud Data Virtualization 91

Cloudera

JANUARY 21, 2021

You already know that a distributed environment is much tougher for your company to manage, secure, and govern. CDW is an integrated data warehouse service within Cloudera Data Platform (CDP). CDW is an integrated data warehouse service within Cloudera Data Platform (CDP). Do you need faster time to value? Must you be: .

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Analytics Storage Technical Review Virtualization 93

Hu's Place - HitachiVantara

AUGUST 5, 2019

In June I posted a blog commenting on the cloud management company MapR closing its headquarters and laying off 122 workers. At that time Cloudera , another cloud big data management company, announced reduced earnings and reduced outlook which drove its stock down over 38% to around $5.

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Artificial Inteligence Big Data AWS Azure 8

Cloudera

JANUARY 12, 2021

While developers can deploy many applications in the cloud, not all data workloads belong there. The cloud providers perfectly know this data challenge as they all provide more and more solutions to run workloads on-premises to work with their technologies. So, the public cloud is not always a good fit for every business needs.

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Cloudera

MAY 25, 2021

I had introduced Cloudera SQL Stream Builder in my earlier blog pos t and how it augments the powerful stream processing capabilities of the Cloudera DataFlow (CDF) platform by accelerating time to market and democratizing access to real-time data using continuous SQL. SQL Stream Builder Transforms Events to Insights Immediately .

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Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model.

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Cloud Technical Review Storage Backup 83

Cloudera

AUGUST 17, 2022

CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in. CDP One democratizes insights so companies can achieve faster time to business insights to create data-driven innovation.

Analytics 113

Analytics Machine Learning Artificial Inteligence Policies 113

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. Introduction. CRM platforms). As a result, alternative data integration technologies (e.g., These four capabilities together define the Enterprise Data Cloud.

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