Cloudera

SEPTEMBER 1, 2020

The CrunchIndexerTool can use Spark to read data from HDFS files into Apache Solr for indexing, and run the data through a so-called morphline for extraction and transformation in an efficient way. For the examples presented in this blog, we assume you have a CDP account already. Under General Settings define a cluster name.

Data 66

Data Backup Disaster Recovery Storage 66

Cloudera

JANUARY 15, 2021

The following price-performance summary is directly from the McKnight report: The chart compares the cost to run the full 99 query TPC-DS workload at a scale factor of 30 TB on Cloudera Data Warehouse (CDW) vs the 4 competitors. DW1 is an anonymized cloud data warehouse running on AWS and DW2 is an anonymized data warehouse running on GCP.

Performance 91

Performance Cloud Data Storage 91

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud has expertise working with the hyperscale public clouds.

Cloud 78

Cloud Google Cloud Azure AWS 78

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Cloudera

JUNE 18, 2022

Delta lake had a Spark-heavy evolution; customer options dwindle rapidly if they need freedom to choose a different engine than what is primary to the table format. . More formats, more engines, more interoperability. Today, the Hive metastore is used from multiple engines and with multiple storage options.

Data 89

Data Analytics Open Source Architecture 89

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. Simply choose the AWS or Azure compute instances, class of storage, and go. Check back for Part 3 of 3, coming soon… The post Cloudera in the Cloud (Part 2) appeared first on Cloudera Blog.

Cloud 40

Cloud Azure Analytics AWS 40

ParkMyCloud

JULY 30, 2019

The Databricks platform allows enterprises to build their data pipelines across data storage systems and prepare data sets for data scientists and engineers. To do this, Databricks offers a range of tools for building, managing and monitoring data pipelines.

Azure 40

Azure AWS Analytics Machine Learning 40

TIBCO - Connected Intelligence

APRIL 22, 2021

In its annual Worldwide Global Datasphere Forecast, 2019-2023, IDC projected that only 15% of annual data growth is actually net new data. That means 85% of data growth results from copying data you already have. Business-friendly data views simplify access and hide IT complexity. The post Seeking Sustainable IT?

Sustainability 46

Sustainability Virtualization Data Energy 46

Netflix Tech

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Some of the optimizations are prerequisites for a high-performance data warehouse. Increase in storage space. More processing resources.

Storage 81

Storage Data Resources Data Engineering 81

Cloudera

SEPTEMBER 10, 2021

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure). RAZ for S3 gives them that capability.

Storage 79

Storage Cloud Azure Pharmaceuticals 79

Cloudera

SEPTEMBER 28, 2021

The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. We covered the value this new capability provides in a previous blog. Without RAZ, the recommended solution is to use IDBroker to create a mapping from CDP users or groups to AWS IAM (ADLS AD) roles.

Groups 62

Groups Cloud AWS Data 62

Perficient

FEBRUARY 16, 2024

In the world of big data processing, efficient and scalable file systems play a crucial role. In this blog post, we’ll explore into what DBFS is, how it works, and provide examples to illustrate its usage. DBFS provides a unified interface to access data stored in various underlying storage systems. What is DBFS?

System 52

System Storage Azure Big Data 52

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). Fixed Reports / Data Engineering jobs . Fixed Reports / Data Engineering Jobs. Report Format.

Data Engineering 68

Data Engineering Cloud Weak Development Team Resources 68

Cloudera

FEBRUARY 8, 2022

COD enables customers to deliver prototypes within an hour in a cloud of your choice — AWS and Azure are generally available, GCP is available in Tech Preview — with the power to effortlessly scale to petabytes of data. In addition, COD delivers a significant TCO reduction relative to existing HBase deployments. .

System 66

System Cloud Azure AWS 66

Cloudera

DECEMBER 15, 2022

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. Read why the future of data lakehouses is open. Enhanced multi-function analytics. Replay our meetup Apache Iceberg: Looking Below the Waterline.

Cloud 76

Cloud Data Analytics Machine Learning 76

Cloudera

MAY 22, 2018

It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. We believed that if you empowered data engineers, data scientists, and analysts with self-service tools and access to unlimited data and compute, your organization can accomplish truly great things.

Azure 40

Azure Data Engineering AWS Engineering 40

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. For example, CIS guidelines describe detailed configuration settings to secure your AWS account.

Cloud 52

Cloud Data Firewall AWS 52

Cloudera

OCTOBER 18, 2022

Much of Cloudera’s internal research and development infrastructure for CDP Public Cloud and CDP Private Cloud runs on compute and storage from the big three cloud providers, and at the beginning of 2020 costs were on course to top $25 million per year. An individual manager could easily identify cost issues.

Cloud 85

Cloud Analytics AWS Engineering 85

O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly.

Trends 121

Trends Technical Review Technology Artificial Inteligence 121

Cloudera

NOVEMBER 28, 2017

However, different departments or user groups may have access to different subsets of data, making it difficult to join and analyze data between them and limiting collaboration between different teams (such as for workflows requiring data engineers, data scientists, and SQL users).

Analytics 40

Analytics Cloud Data Data Engineering 40

Cloudera

MARCH 6, 2018

A shared data catalog and data context including definitions, permissions, and governance, offered as part of our Cloudera Altus platform to simplify configurations in the cloud, makes it easy to consolidate all data into a single, well-defined, persistent repository in object storage.

Analytics 40

Analytics Cloud Big Data AWS 40

Cloudera

SEPTEMBER 9, 2018

It enables organizations to address their data warehousing reporting needs by making it quick and easy to consolidate data into a single repository yet still service your users’ needs in a scalable and cost-effective way. This makes it easy to meet the ever-changing needs of your data teams. Try Altus Data Warehouse today.

Data 40

Data Data Engineering Analytics Cloud 40

Cloudera

DECEMBER 7, 2017

This means cloud makes it too easy to accidentally create a lot of redundant silos of data for each of those cloud analytics services. That data may be stored multiple times in different pools, each multiplying storage resource costs. That data may be hard to discover for other users and other applications.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40

Tenable

NOVEMBER 3, 2022

When our data engineering team was enlisted to work on Tenable One, we knew we needed a strong partner. When Tenable’s product engineering team came to us in data engineering asking how we could build a data platform to power the product, we knew we had an incredible opportunity to modernize our data stack.

Data 98

Data AWS Storage Data Engineering 98

Coforge

AUGUST 20, 2019

In the digital communities that we live in, storage is virtually free and our garrulous species is generating and storing data like never before. Outsourcing: Some of the work related to data engineering and DevOps/SRE may be outsourced to concentrate resources towards achieving the business goals. #2

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics.

Data Engineering 110

Data Engineering Engineering Data Storage 110

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. Storage costs. 13,000-18,500. 7,500-11,500. 8,500-14,500. 5,500-9,000. hour using a r5d.4xlarge

Cloud 83

Cloud Technical Review Storage Backup 83

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Artificial Inteligence 100

Artificial Inteligence Cloud Generative AI Analytics 100

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 76

Data Analytics Government Technical Review 76