Cloudera

FEBRUARY 8, 2021

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale.

Data 108

Data Artificial Inteligence Machine Learning Automotive 108

Cloudera

FEBRUARY 18, 2021

These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources. Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. .

Insurance 105

Insurance Trends Data Artificial Inteligence 105

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Company data exists in the data lake.

Data 97

Data Virtualization Banking Data Engineering 97

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.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data 97

Data Analytics Storage Big Data 97

Cloudera

DECEMBER 21, 2020

Hybrid cloud is the best of both worlds – it allows low latency in data transfer combined with high data security offered by on-prem with the low TCO of ownership of scalable advanced analytics solutions in the cloud. . Enhancing Online Customer Experience with Data .

Retail 93

Retail Cloud Strategy Data 93

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

JULY 13, 2022

In this article we discuss the various methods to replicate HBase data and explore why Replication Manager is the best choice for the job with the help of a use case. Cloudera Replication Manager is a key Cloudera Data Platform (CDP) service, designed to copy and migrate data between environments and infrastructures across hybrid clouds.

Disaster Recovery 91

Disaster Recovery Data Policies Azure 91

Altexsoft

FEBRUARY 3, 2020

The reason is simple – people and organizations produce massive amounts of information daily, but only the most agile companies make use of it to analyze consumer behavior and improve business outcomes. A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. In this introductory article, I present an overarching framework that captures the benefits of CDP for technology and business stakeholders.

Data 82

Data Analytics Government Technical Review 82

Xebia

JULY 28, 2023

We will call them data-platform-udev and data-platform-uprod. Now that we have added our Service Principal to the Workspace, we just have to set the correct permissions – to use Tokens and to modify the Data Catalog. For this project, we will use Azure as our Cloud provider.

Cloud 130

Cloud Azure How To Windows 130

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. What is a data warehouse?

Backup 115

Backup Azure Software Review Architecture 115

AWS Machine Learning - AI

AUGUST 2, 2024

This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. The analysis was conducted for queries based on both unstructured (regulatory documents and product specs sheets) and structured (product catalog) data.

Artificial Inteligence 126

Artificial Inteligence Generative AI Energy Knowledge Base 126

Altexsoft

SEPTEMBER 19, 2019

Some variables to consider are customer buyer persona, website reviews, social media mentions, sales figures by day and hour in different store locations, a holiday or other events, expected pay dates in local companies, even heat map data for every store, and current planogram. That’s a lot of different data stored in different formats.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. Oracle PaaS includes functionality for application development, content management, and business analytics, among others.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Intelligence 97

Altexsoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. What is data virtualization?

Virtualization 69

Virtualization Tools Data Architecture 69

Dataiku

SEPTEMBER 25, 2024

As enterprises face the rise of new technologies that require fast adaptation, the pressure to modernize their analytics infrastructure is mounting. Corios offers a comprehensive solution, allowing organizations to transition their data, workloads, and users from SAS into the Dataiku environment.

Enterprise 52

Enterprise Business Analytics Analytics Scalability 52

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 92

Course Training Artificial Inteligence Software Review 92

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Analytics 89

Analytics Artificial Inteligence Machine Learning Telecommunications 89

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

CIO

FEBRUARY 28, 2024

Or, you may have begun migrating to the cloud but now need edge computing and IoT to streamline your operations, or you may want to use AI to supercharge your business analytics. How would you then capture that data, perhaps to roll out personalization at scale? How will you keep your customers’ data safe?

How To 78

How To Sustainability IoT Automotive 78

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Openxcell

FEBRUARY 1, 2023

SaaS: Everything you need to know Traditionally, companies invested optimum capital in on-premise infrastructure to streamline business analytics, CRM, and automation. In recent years, it has been possible to operate the whole business offsite using SaaS or Software-as-a-Service. SaaS offers minimal upfront costs.

Software Review 98

Software Review Industry Software Technical Review 98

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

CTOvision

JULY 25, 2016

We are leveraging Deloitte Advisory's Cyber Reconnaissance service to enable large scale cyber data analytics to more proactively defend our networks and support critical national missions,” said Clayton Jones, USPACOM J6 Senior Advisor and Strategic Cyber Integrator. What do you look like to your adversary?”

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

TechFides Blog

DECEMBER 18, 2024

The typical inefficiency culprits are legacy systems, limited IT scalability and just plain old inefficient, manual operational processes. And sometimes, theres just no amount of configuration of an old clunker piece of technology that can provide the capability a business requires, and its simply time to move on.

Technology 52

Technology Scalability Strategic Planning Enterprise 52

AWS Machine Learning - AI

JULY 25, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. At the core of this capability are native data source connectors that seamlessly integrate and index content from multiple repositories into a unified index.

Azure 117

Azure Authentication Artificial Inteligence Generative AI 117

AWS Machine Learning - AI

SEPTEMBER 18, 2024

We employed other LLMs available on Amazon Bedrock to synthetically generate fictitious reference materials to avoid potential biases that could arise from Amazon Claude’s pre-training data. Construction Technology Solutions - Construction Data Analytics and Reporting. Chidi Prince John is a Data Scientist at Amazon.

Generative AI 127

Generative AI Artificial Inteligence Fractional CTO Guidelines 127

Perficient

SEPTEMBER 18, 2024

Splunk Cloud is a powerful cloud-based platform for collecting, analyzing, and visualizing machine-generated data from various sources. It offers robust tools for searching, monitoring, and analyzing log data, making it indispensable for IT operations, security, and business analytics. What is Real-Time Log Forwarding?

Cloud 52

Cloud Systems Review Analysis Firewall 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 62

Course Training Artificial Inteligence Software Review 62

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

Sunflower Lab

JULY 5, 2023

AI algorithms help to understand and interpret the given data to make predictions and information-driven decisions. Ai helps in achieving efficiency and accuracy in business operations. 2. Robotic Process Automation (RPA) Robotic Process Automation uses software robots or bots to automate repetitive tasks in business processes.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Existek

NOVEMBER 21, 2023

Let’s check this article focusing on AI analytics and how to leverage it to your advantage. List of the Content What is AI analytics? Difference between AI and traditional analytics How to use AI in data analytics? With the growing volume of data, the popularity of AI analytics has also been propelled.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52