CTOvision

OCTOBER 27, 2014

Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc., DataDirect Networks combines IBM GPFS, Storage Fusion for HPC. Cloudera CTO on Big Data analytics and security risks. and Hortonworks Inc.

Technical Review 103

Technical Review Technology Big Data Firewall 103

O'Reilly Media - Ideas

APRIL 13, 2023

Imagine application storage and compute as unstoppable as blockchain, but faster and cheaper than the cloud.) Protocol networks are groups of loosely affiliated enterprises that provide globally available services like ledger, compute, and storage. The new paradigm shift is from the cloud to the protocol network.

Technical Review 145

Technical Review Authentication Storage Serverless 145

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. And the longer it takes to put a team in place, the likelier it is that your big data project will stall. That architecture exists to store, serve, and process data.

Data Engineering 54

Data Engineering Big Data Engineering Data 54

CTOvision

JUNE 12, 2014

We’ve migrated to a userid-password society; as we’ve added layers of security, we password-protect each layer: PC (and now device), network, enclave, application, database, and storage (encryption). The main concept is to leverage big data to determine the unique identity of an individual based on his or her behavior.

Storage 99

Storage Mobile Network Authentication 99

CTOvision

NOVEMBER 13, 2015

BehavioSec – Disruptive verification & authentication solutions that make consumers part of the security solution, rather than the problem. Capable of detecting intrusions in machine time, machine learning and big data are used to detect anomalies in HW and SW execution based on analysis of AC, DC and EMI signals.

Innovation 111

Innovation Network Machine Learning Artificial Inteligence 111

CTOvision

OCTOBER 6, 2015

BehavioSec – Disruptive verification & authentication solutions that make consumers part of the security solution, rather than the problem. Capable of detecting intrusions in machine time, machine learning and big data are used to detect anomalies in HW and SW execution based on analysis of AC, DC and EMI signals.

Company 115

Company Big Data Innovation Machine Learning 115

Datica

SEPTEMBER 11, 2019

Over the last few years, cloud storage has risen both in popularity and effectiveness. The convenience of cloud computing is undeniable, allowing users to access data, apps, and services from any location with an Internet connection. It’s no surprise that businesses across every industry are embracing cloud storage.

Storage 11

Storage Cloud Backup Disaster Recovery 11

CTOvision

JUNE 3, 2014

Later, more and more security related capabilities were added, including better access control, authentication, auditing, and data provenance. Many players delivered niche solutions for encrypting data, but not so long ago most solutions I saw introduced new weaknesses for each solution. Terms of the deal were not disclosed.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CTOvision

DECEMBER 15, 2014

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn’t refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data.

Security 120

Security Government Technology Artificial Inteligence 120

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Serverless 117

Serverless AWS Artificial Inteligence Big Data 117

Altexsoft

MAY 20, 2020

These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. The transport layer is responsible for smooth and secure data transmission from a perception to processing layer. Devices are connected to sensors or even have them embedded as an integral part.

IoT 141

IoT Azure AWS Transportation 141

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. The servers ensure an efficient allocation of computing resources to support diverse user needs.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

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 82

Data Analytics Government Technical Review 82

Cloudera

NOVEMBER 23, 2021

Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: . IDBroker is a REST API built as part of Apache Knox’s authentication services.

Data 91

Data Scalability Government Authentication 91

Cloudera

FEBRUARY 14, 2019

The Cloudera platform delivers a one-stop shop that allows you to store any kind of data, process and analyze it in many different ways in a single environment, and integrate with the rest of your data infrastructure. But working with cloud storage has often been a compromise. As a Hadoop developer, I loved that!

Azure 60

Azure Data Storage Cloud 60

Cloudera

SEPTEMBER 9, 2021

The cloud-native consumption model delivers lower cloud infrastructure TCO versus both on-premises and IaaS deployments of Apache HBase by employing a) elastic compute resources b) cloud-native design patterns for high-availability and c) cost efficient object storage as the primary storage layer. Elastic Compute.

Storage 95

Storage Azure Technical Review Database Administration 95

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. A data lake can enable you to do more with your data. What Is a Data Lake? Users can locate specific data in a lake through crawling, cataloging and indexing.

Data 69

Data Cloud Azure Technical Review 69

Linux Academy

NOVEMBER 6, 2019

Enable Archiving with Azure Blob Storage. Using SQL to Retrieve Data. Using SQL to Change Data. Provisioning a Gen 2 Azure Data Lake . Configuring Key-Based Authentication. Configure Directory and File Access and Add Basic Authentication. Hiding Apache Data and Implementing Safeguards.

Google Cloud 16

Google Cloud Linux Azure AWS 16

OTS Solutions

NOVEMBER 26, 2023

For example, one provider may specialize in data storage and security, while another may excel in big data analytics. This approach enables businesses to select the most suitable services and multi-cloud solutions from providers, such as storage, networking, or data analytics.

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

Apiumhub

MARCH 23, 2021

Data lakes really became the cornerstones of modern big data architecture. What is Data Lake? A data lake is a centralized repository that allows you to store all of your structured and unstructured data at any scale. It holds a large amount of raw data in its native form until businesses identify its use.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

Tenable

AUGUST 22, 2019

Twelve of the advisories address vulnerabilities in Cisco Integrated Management Controller (IMC) used to manage Cisco Unified Computing System (UCS) C-Series Rack Servers and S-Series Storage Servers. Six advisories are for vulnerabilities affecting Cisco IMC Supervisor, Cisco UCS Director, and Cisco UCS Director Express for Big Data.

Report 8

Report Authentication Big Data Small Business 8

Altexsoft

MARCH 30, 2023

It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data. The relatively new storage architecture powering Databricks is called a data lakehouse. Databricks lakehouse platform architecture.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

RapidValue

MAY 15, 2019

Customers of AWS benefit from 51% lower 5-year cost of operations, 62% more efficient IT infrastructure staff and 90% less staff time to deploy new storage. Some of their security features include Multi-factor authentication, private subnets, Isolate GovCloud and encrypted data. Elasticity and flexibility.

AWS 75

AWS Cloud Load Balancer Infrastructure 75

KitelyTech

FEBRUARY 15, 2023

Cloud computing is the process of storing and accessing data over the internet, rather than a computer’s hard drive. It is a platform where users can access applications, storage, and other computing services from the cloud, rather than their own device. Each platform also has its own advantages and disadvantages.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Cloudera

AUGUST 26, 2021

The object store is readily available alongside HDFS in CDP (Cloudera Data Platform) Private Cloud Base 7.1.3+. In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. awsSecret=08b6328818129677247d51.

Cloud 113

Cloud Data Machine Learning Artificial Inteligence 113

Cloudera

AUGUST 20, 2021

An automation-driven, security-by-default paradigm has been introduced for all data experiences and is enabled by the Cloudera Control Plane and the Shared Data Experience. Processing Scalability: As we’ve previously demonstrated (e.g.,

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Dell EMC

FEBRUARY 11, 2020

Start benefiting now from recent fixes and patches, protect your system from cyber threats, enjoy improved performance, get cloud-ready, and protect your data. READ MORE.

Network 75

Network Authentication Performance Resources 75

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. An advantageous side benefit of a unified approach is lower total cost of ownership, stemming from eliminating redundant data storage, leveraging transient compute, and simplifying management overhead.

Analytics 40

Analytics Cloud Big Data Machine Learning 40

Netflix Tech

DECEMBER 14, 2018

Furthermore, this facilitates high data read throughputs as we do away with complex application logic at the time of reading data. Media data analyses created by an application developed by one team could be used by another application developed by another team without friction. NMDB leverages a cloud storage service (e.g.,

Media 97

Media Systems Review Storage Performance 97

Altexsoft

JUNE 20, 2019

In relational DBMS, the data appears as tables of rows and columns with a strict structure and clear dependencies. Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Simple data access, storage, input, and retrieval. Encryption.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

APRIL 26, 2022

The data journey from different source systems to a warehouse commonly happens in two ways — ETL and ELT. The former extracts and transforms information before loading it into centralized storage while the latter allows for loading data prior to transformation. Each node has its own disk storage. Database storage layer.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Confluent

OCTOBER 10, 2019

Apache Kafka is an event streaming platform that combines messaging, storage, and processing of data to build highly scalable, reliable, secure, and real-time infrastructure. Long-term storage and buffering. Monitoring and alerting for availability, latency, consumption, data loss, etc. High throughput. Large scale.

IoT 20

IoT Internet Weak Development Team Scalability 20

Radiant Logic

DECEMBER 2, 2013

By federating and delegating the authentication from the cloud provider to the enterprise, your organization must act as an Identity provider (IdP)—and that’s a formidable challenge for many companies dealing with a diverse array of distributed identity stores, from AD and legacy LDAP to SQL and web services.

Internet 40

Internet Authentication Infrastructure Storage 40

Hacker Earth

MARCH 29, 2018

Data storage, privacy, and protection regulations (63%). Digital identity authentication regulations (45%). Decentralized blockchain makes it easier to authenticate transactions, policies, and customers. Big Data and Predictive Analytics in insurance. Talent (87%). IT security (53%). Blockchain.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Mobilunity

APRIL 28, 2025

Alibaba Cloud, also known as Aliyun, is rapidly emerging as a formidable rival to larger players such as AWS and Google Cloud platform, providing various services including Elastic Compute Service (ECS), Object Storage Service (OSS), and Alibaba Cloud Database. Increase compute, storage, or network capability as your business grows.

Cloud 40

Cloud AWS Storage Scalability 40