Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

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Cloudera

FEBRUARY 1, 2024

The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

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Backup Cloud Architecture Resources 81

Cloudera

FEBRUARY 12, 2024

Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. If the DNS is set up less ideal than it could be, connectivity and performance issues may arise. In a Cloudera deployment scenario, only storage accounts, PostgreSQL DB, and Key Vault support service endpoints.

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CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. However, a data execution strategy has to evolve for real-time AI to scale with speed. Learn more about moving to cloud-native applications and data with Kubernetes in this blog post.)

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Altexsoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. 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.

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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 today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . Cloudera Data Warehouse vs HDInsight.

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InnovationM

MAY 14, 2023

In this article, I will share practical insights and technologies utilized in building and harnessing the potential of data lakes. Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses.

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Data Storage Construction Business Intelligence 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

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Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

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Applications Development Storage Database Administration 101

Cloudera

JULY 14, 2023

However, as there are already 25 million terabytes of data stored in the Hive table format, migrating existing tables in the Hive table format into the Iceberg table format is necessary for performance and cost. In this blog, I will describe a few strategies one could undertake for various use cases.

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Cloudera

MAY 17, 2021

CDP (Cloudera Data Platform) Private Cloud 1.2 release blog ). In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. Platform – In-place Updates.

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Cloudera

DECEMBER 10, 2020

Drawing on more than a decade of experience in building and deploying massive scale data platforms on economical budgets, Cloudera has designed and delivered a cost-cutting cloud-native solution – Cloudera Data Warehouse (CDW), part of the new Cloudera Data Platform (CDP). 150 for storage use = $15 / TB / month x 10 TB.

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Data Technical Review Storage Systems Review 98

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. A provider could be used to make HTTP requests, connect to a RDBMS, check file systems (such as S3 object storage), invoke cloud provider services, and much more.

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Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Use Case 1: Data integration for big data, data lakes, and data science.

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Cloudera

FEBRUARY 16, 2022

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Each project consists of a declarative series of steps or operations that define the data science workflow.

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Machine Learning Artificial Inteligence Weak Development Team Construction 81

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. Impedance mismatch between data scientists, data engineers and production engineers.

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Cloudera

JUNE 18, 2022

As use cases matured, we saw the need for both efficient, interactive BI analytics and transactional semantics to modify data. The first generation of the Hive Metastore attempted to address the performance considerations to run SQL efficiently on a data lake. More formats, more engines, more interoperability.

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Cloudera

FEBRUARY 14, 2024

It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. However, you need to regularly maintain Iceberg tables to keep them in a healthy state so that read queries can perform faster. Opening files is costly.

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Strategy Travel Groups Data 57

Cloudera

SEPTEMBER 1, 2020

Solr is a standard and open source, commonly adopted text search engine with rich query APIs for performing analytics over text and other unstructured data. YARN allows you to use various data processing engines for batch, interactive, and real-time stream processing of data stored in HDFS or cloud storage like S3 and ADLS.

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Cloudera

JULY 24, 2023

That first step requires integrating the latest versions of all required open source projects, including not just data processing engines (e.g., Apache Impala, Apache Spark) but also all foundational services needed for storage (e.g., data engineering pipelines, machine learning models).

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Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Using Cloudera Data Platform.

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Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

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Data Analytics Cloud Technical Review 80

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. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 81

Storage Data Resources Data Engineering 81

Cloudera

DECEMBER 20, 2022

This is due to an improvement in plant uptime, supported by predictive maintenance applications, coupled with optimization of the fuel consumption that powers these plants, as well as fine-grained performance monitoring that eliminates over-production. . These include recruitment, training, performance management, and employee retention.

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Energy Analytics Data Machine Learning 79

AWS Machine Learning - AI

JANUARY 26, 2024

We are committed to expanding our capabilities to allow you to meet your digital sovereignty needs, without compromising on the performance, innovation, security, or scale of the AWS Cloud. Understand the security posture of your AI, ML, and generative AI workloads by performing a Well-Architected Framework review.

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Artificial Inteligence Generative AI Security Applications 120

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Marketing departments can track how successful their campaigns perform, predict customer churn , and conduct sentiment analysis. per user/month). ML capabilities.

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Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. This April, 47Lining, announced its Amazon Web Services (AWS) Industrial Time Series Data Connector Quick Start. We are all thrilled to welcome them to our own team of talented professionals.

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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?

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Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 102

Data Engineering Engineering Data Tools 102

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?

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System Storage Azure Big Data 52

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

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Data Scalability Analytics Quality Assurance 79

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. track model metrics, performance, and any model artifacts the user specifies. appeared first on Cloudera Blog.

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Kentik

JULY 18, 2016

Data-driven insights can reduce costs, achieving huge efficiencies over time. They can also improve network performance, laying the foundation for improved user experience, new features that weren’t previously feasible, and new revenue streams. NetFlow) and other other network traffic data like BGP and GeoIP.

Big Data 40

Big Data Network Analytics Data 40

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 . Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. 3: Open Performance.

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Data Open Source Storage Machine Learning 88

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. Let’s say that both Jon and Remi belong to the Data Engineering group. Adding a user to multiple groups.

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Altexsoft

MARCH 31, 2020

Besides running daily operations, you may evaluate your performance. It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. And, as is common, to transform it before loading to another storage system. Destination.

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Cloudera

JULY 11, 2023

In this blog we will explain how to integrate them together to achieve separation of compute (i.e. Impala) and storage (i.e. This also enables advanced scenarios where customers can connect multiple CDW Virtual Clusters to different real-time data mart clusters to connect to a Kudu cluster specific for their workloads.

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