Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

Big Data 95

Big Data Data Artificial Intelligence Artificial Inteligence 95

The Crazy Programmer

MAY 21, 2022

It takes raw data files from multiple sources, extracts information useful for analysis, transforms it into file formats that can serve business analytics or statistical research needs, and loads it into a targeted data repository. Dedicate Specific Connectors and Extract Data from Available Sources.

Open Source 173

Open Source Business Analytics Data Storage 173

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Along the way, I’ll highlight key sections of the upcoming Strata Data conference in New York this September. Managing data science in the enterprise.

Machine Learning 182

Machine Learning Artificial Inteligence How To Case Study 182

AWS Machine Learning - AI

JUNE 26, 2024

Financial analysts and research analysts in capital markets distill business insights from financial and non-financial data, such as public filings, earnings call recordings, market research publications, and economic reports, using a variety of tools for data mining.

Artificial Inteligence 137

Artificial Inteligence Research Knowledge Base Applications 137

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. Data Champions .

Data 123

Data Analytics Banking Big Data 123

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

AWS Machine Learning - AI

MAY 1, 2025

Fine-tuning addresses these limitations by adapting models to your specific data and use cases, dramatically improving performance on tasks that mater to your business. Chart and graph interpretation Fine-tuning allows models to comprehend complex visual data representations and answer questions about them.

Generative AI 83

Generative AI AWS Artificial Inteligence Training 83

AWS Machine Learning - AI

APRIL 9, 2025

Amazon Q Business is a fully managed, generative AI-powered assistant that lets you build interactive chat applications using your enterprise data, generating answers based on your data or large language model (LLM) knowledge.

Weak Development Team 93

Weak Development Team Metrics AWS Systems Review 93

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. They help their clients serve their customers through data insights. Business Challenges. It also wanted to improve data storage and ETL to provide better insights for customers and end users.

Big Data 105

Big Data Analysis Storage Business Analytics 105

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

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 Machine Learning Artificial Inteligence Automotive 108

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

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

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

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

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

CTOvision

FEBRUARY 4, 2015

The Cloudera Federal Forum, now in its 4th year, has always been filled with lessons learned, best practices and informative glimpses into what is coming from the big data tech community. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Confluent

JULY 3, 2019

From a data perspective, the World Cup represents an interesting source of information. Data sources. The beginning of our journey starts with connecting to various data sources. Ingesting Twitter data. Ingesting Twitter data is very easy with Kafka Connect , a framework for connecting Kafka with external systems.

Analysis 21

Analysis Data Sport Windows 21

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

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

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

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 129

Artificial Inteligence Generative AI Energy Knowledge Base 129

CIO

MARCH 27, 2023

A business objective to “arrive” more patients per hour or the CEO’s desire to leverage historical data to predict future patient volume and revenue doesn’t start with a technology discussion or spoon-feed IT a particular business strategy to execute. Leveraging data, advanced analytics, and AI is top priority across the board.

Strategy 164

Strategy Survey Analytics Technical Advisors 164

Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Data 74

Data Analytics Banking Machine Learning 74

AWS Machine Learning - AI

AUGUST 2, 2024

On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data. Use clear and concise language to explain financial performance and business developments. Amazon Earnings call transcript for Q1 2021.

Artificial Inteligence 134

Artificial Inteligence Engineering Generative AI Comparison 134

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. compute, network, storage, etc.) PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle ERP—Financials Cloud. Oracle HCM Cloud.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Intelligence 97

Perficient

FEBRUARY 22, 2024

A common symptom of organizations operating at suboptimal performance is when there is a prevalent challenge of dealing with data fragmentation. The fact that enterprise data is siloed within disparate business and operational systems is not the crux to resolve, since there will always be multiple systems.

Virtualization 52

Virtualization Enterprise Data Analytics 52

The Agile Monkey

MARCH 14, 2023

Event-driven machine learning will enable a new generation of businesses that will be able to make incredibly thoughtful decisions faster than ever, but is your data ready to take advantage of it? And the key differentiation factor is going to be the amount and quality of their data.

Artificial Inteligence 98

Artificial Inteligence System Software Machine Learning 98

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 121

Azure Authentication Artificial Inteligence Generative AI 121

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. And Cloudera is at the heart of enabling these real-time data driven transformations. .

Analytics 101

Analytics Airlines Off-The-Shelf Insurance 101

AWS Machine Learning - AI

JULY 10, 2024

Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic Claude to understand and generate human-like text. The fine-tuning as a deep level of customization represents a key differentiating factor by using your own unique data.

Artificial Inteligence 132

Artificial Inteligence Airlines Training Generative AI 132

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

The Kini Group

DECEMBER 5, 2016

This is most evident in the position of the Chief Data Officer. While the position started in IT, it has evolved into something much more than another “data interpreter.” The CDO role bridges the data-focused side of IT and the analytics application side of sales, finance, and marketing. Make Data Easier to Manage.

Company 56

Company Data Analytics Systems Review 56

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

Actian

AUGUST 7, 2019

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. Data warehouses in the cloud.

System 40

System Cloud Data Data Center 40

Actian

AUGUST 7, 2019

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. Data warehouses in the cloud.

System 8

System Cloud Data Data Center 8

Cloudera

JANUARY 14, 2021

They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach.

Retail 72

Retail Agile Analytics Storage 72