Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Happy New Year and welcome to 2019, a year full of possibilities.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Actian

JULY 26, 2019

A modernization project, done correctly can deliver compelling and predictable results to your organization including millions in cost savings, new analytics capabilities and greater agility. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling.

Cloud 40

Cloud Data Analytics Case Study 40

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. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., You get 10GB of cloud storage and can upload 1GB of data at a time.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. All you have to do is to alter the table properties to set the storage handler to “HiveIcebergStorageHandler.”

Backup 70

Backup Data Engineering Engineering Data 70

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Kentik

MARCH 27, 2017

I recently had an interesting conversation with an industry analyst about how Kentik customers use our big data network visibility solution for more accurate DDoS detection, automated hybrid mitigation, and deep ad-hoc analytics. Cloud complexities raise the bar for effective protection.

Enterprise 40

Enterprise Policies Analytics Architecture 40

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. RAG is a popular technique that combines the use of private data with large language models (LLMs). Nihir Chadderwala is a Sr.

Knowledge Base 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

Cloudera

NOVEMBER 2, 2020

The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. Correlations across data domains, even if they are not traditionally stored together (e.g. The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 97

Data Analytics Storage Big Data 97

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. On June 18th, Cloudera provided an exclusive preview of these capabilities, and more, with the introduction of Cloudera Data Platform (CDP), the industry’s first enterprise data cloud. Unsatisfied with the inflexibility of simple cloud analytics.

Enterprise 87

Enterprise Cloud Data Data Center 87

Cloudera

JUNE 4, 2018

It provides a powerful solution for data preparation and publishing human-generated content to search engines and big data applications. release , can support unlimited scalability and enterprise security requirements, and can communicate with the data hub for content storage and indexing natively.

Pharmaceuticals 46

Pharmaceuticals Data Big Data Systems Review 46

Cloudera

SEPTEMBER 5, 2018

This architecture also features end-to-end data management and analytics capabilities, including the ability to push machine learning and intelligence back out to the ‘edge’ for real-time decision making. Its built-in security features enable analytics from the edge to the cloud. . End-to-End Analytics & Machine Learning.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

Kentik

MARCH 6, 2017

Recap: Webinar With Forrester Senior Analyst Joseph Blankenship. I recently had the pleasure of presenting a webinar on Distributed Denial of Service (DDoS) attacks in collaboration with Forrester Senior Analyst Joseph Blankenship. In the webinar, I laid out how constrained these appliances are in terms of both computation and storage.

IoT 40

IoT Analytics Trends Technical Review 40