CTOvision

JUNE 3, 2014

PALO ALTO, Calif. – June 3, 2014 – Cloudera , a leader in enterprise analytic data management powered by Apache Hadoop™ , today announced that it has acquired Gazzang , the big data security experts, to dramatically strengthen its security offerings, building on the roadmap laid out last year when Cloudera first delivered Sentry.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

IDC

DECEMBER 9, 2019

Unlike primary workloads, where low latency and very high availability tend to be important requirements, secondary workloads tend to focus more on capacity scalability and $/GB cost. But let’s look at some of the other benefits flash brings to the table: Higher throughput and bandwidth.

Storage 52

Storage Systems Review Software Review Technical Review 52

AWS Machine Learning - AI

FEBRUARY 1, 2024

If you’re performing prompt engineering, you should persist your prompts to a reliable data store. That will safeguard your prompts in case of accidental loss or as part of your overall disaster recovery strategy. Scalability – How many vectors can the system hold? Generative AI workloads are no different.

Generative AI 104

Generative AI Disaster Recovery Artificial Inteligence AWS 104

Linux Academy

APRIL 9, 2019

AWS Certified Big Data. This certification exam focuses on testing technical expertise around: Designing and deploying scalable, highly available, and fault tolerant systems on the AWS platform. Design and deploy enterprise-wide scalable operations on AWS. Implement and control the flow of data to and from AWS.

AWS 60

AWS DevOps Architecture Scalability 60

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 58

Course Artificial Inteligence Training Blockchain 58

RapidValue

SEPTEMBER 16, 2019

Advanced technologies like Big Data and Mobility have known to have fueled stronger growth in the cloud computing industry. Enterprises and organizations need scalable and accessible infrastructures and platforms to use newer technologies. Highest cloud budget allocation for backup and disaster recovery.

Cloud 14

Cloud Disaster Recovery Big Data Technical Review 14

Kaseya

NOVEMBER 9, 2023

Cloud infrastructure Four integral elements define the backbone of cloud infrastructure: Servers: Servers are the core of cloud infrastructure, acting as the computational engines that process and deliver data, applications and services. This eliminates the risk of data loss and provides a reliable mechanism for long-term data retention.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

CIO

DECEMBER 13, 2022

Here, I’ll give you an overview of Cassandra, along with a few reasons why this database might just be the right way to persist data at your organization and ensure your data and the apps that your developers build on it are infinitely scalable, secure, and fast. Why Cassandra?

Disaster Recovery 147

Disaster Recovery Open Source Data Center Scalability 147

Gorilla Logic

OCTOBER 2, 2019

Regardless of whether your goal is to simply track data and control devices, or you aim to combine IoT with big data, artificial intelligence (AI), and machine learning to create a truly connected enterprise and transform your business model, you’re likely to encounter challenges. How scalable do you need your solution to be?

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Linux Academy

JANUARY 22, 2020

Amazon S3 is an object storage service that is built to be scalable, high available, secure, and performant. These characteristics make Amazon S3 an excellent data store service, but if you’re looking for a database service, you’ll want to look at services like Amazon RDS, DynamoDB, or even customer-managed databases with EC2 instances.

Cloud 28

Cloud Storage AWS Backup 28

Openxcell

FEBRUARY 15, 2023

According to a study by the International Data Group, 69% of organizations reported using cloud technology currently, and 18% said they intended to plan in the future. Meanwhile, according to Dell , businesses that invest in big data, cloud, mobility, and security grow their income up to 53% more quickly than their rivals.

Cloud 52

Cloud Disaster Recovery Technical Review Technical Advisors 52

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Data 109

Data Analytics Disaster Recovery Travel 109

IDC

DECEMBER 9, 2019

Unlike primary workloads, where low latency and very high availability tend to be important requirements, secondary workloads tend to focus more on capacity scalability and $/GB cost. But let’s look at some of the other benefits flash brings to the table: Higher throughput and bandwidth.

Storage 10

Storage Systems Review Software Review Technical Review 10

Cloudera

AUGUST 31, 2020

Scalability is key as data volumes grow at SMG. The following graph shows how linear scalability in Hive LLAP was achieved as Queries per Second (QPS) were increased. Oalva brought years of big data, data warehouse and Hadoop expertise to the table. Establishing an Affordable Disaster Recovery Site.

Analytics 66

Analytics Disaster Recovery Technical Advisors Cloud 66

ProCal Tech

OCTOBER 2, 2022

Strengthened Resilience Multiple cloud configurations can also help protect important business applications and data by providing backup and recovery capabilities that provide business continuity in the event of an emergency, whether caused by a disk failure, power outage, or a natural disaster.

Cloud 52

Cloud Disaster Recovery Storage Telecommunications 52

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Datavail

AUGUST 6, 2020

As big data continues to grow in size and complexity year after year, organizations need to efficiently cut through the massive data volumes they have on hand to find the hidden insights within. Prescriptive methods run simulations and create models in order to hypothesize the best path forward in a given scenario.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Altexsoft

JANUARY 14, 2021

The variety of data explodes and on-premises options fail to handle it. Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

JULY 1, 2021

These offerings are intended to provide fully managed business infrastructure, including IT infrastructure, software, and additional elements such as backup and disaster recovery. It is Google’s central AI platform, intended for developers and data scientists handling big data. Development capabilities. Management.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Hu's Place - HitachiVantara

DECEMBER 11, 2018

GAD provides non-disruptive, high availability (HA), disaster recovery (DR), and rapid data center migration services. Copies are not only used for operational and disaster recovery, but also for archive, big data, analytics, audits, e-discovery, development and test, and other data repurposing requirements.

Disaster Recovery 40

Disaster Recovery Enterprise Storage Data 40

Strategy Driven

DECEMBER 6, 2021

From simplified file transfers to the effective automation of big data , workload automation can streamline and speed up many of your IT processes. Better protection against data loss. If you experience a hard disk crash, the resulting data loss can have huge repercussions on your business.

Disaster Recovery 40

Disaster Recovery Big Data Scalability Software 40

Altexsoft

NOVEMBER 5, 2021

Among the top benefits of such systems are the adoption of various data formats and scalability, which means your HIS will cope with growing numbers of users and increased amounts of information. Disaster recovery planning dictates steps to be followed if a data breach or loss has occurred.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Datica

SEPTEMBER 11, 2019

In addition to providing data protection and backups, this solution offers the option to mirror your data to various locations for historic snapshotting and read-only cache functionality. On-demand scalability. Optional mirroring to various data centers for extra protection. Key Features: Elastic and scalable.

Storage 11

Storage Cloud Backup Disaster Recovery 11

Cloudera

AUGUST 26, 2020

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform. Data scientists can also automate machine learning with the industry-leading H2O.ai’s AutoML Driverless AI on data managed by Cloudera.

Data 84

Data Machine Learning Artificial Inteligence Disaster Recovery 84

Apiumhub

MARCH 9, 2021

A good data architecture continuously evolves to meet new and changing customer information needs. Any data architecture must be resilient, with high availability, disaster recovery, and backup/restore capabilities. Scalable data pipelines. Cloud allows on-demand scalability quickly and affordably.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. The case of backup and disaster recovery costs . Conclusion.

Cloud 86

Cloud Technical Review Storage Backup 86