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. ETL (Extract, Transform and Load) pipeline process is an automated development.

Open Source 173

Open Source Business Analytics Data Storage 173

CTOvision

NOVEMBER 21, 2014

It also wanted to improve data storage and ETL to provide better insights for customers and end users. Data migration to Cloudera Hadoop Distribution to improve storage and ETL capabilities. Finally, it needed user-friendly dashboards and reporting tools for better insight into program effectiveness. Pentaho Solution.

Big Data 105

Big Data Analysis Storage Programming 105

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

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. Will AI Replace Human Business Analysts? Contact Us Now.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

O'Reilly Media - Data

JULY 23, 2018

Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Putting all these topics together into working ML products—data movement and storage, model building, ML lifecycle management, ethics and privacy—requires experience. Rationalizing Risk in AI/ML.

Machine Learning 171

Machine Learning Artificial Inteligence How To Case Study 171

CTOvision

JULY 31, 2013

It provides storage and the source for business analytics. It also allows processing for data preparation and advanced analytics. Peter and Platfora believe that the HDR eliminates data silos, reduces costs, and makes business analytics agile.

Big Data 91

Big Data Data Business Intelligence Analytics 91

Altexsoft

JANUARY 14, 2021

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. For over 30 years, data warehouses have been a rich business-insights source. Is it still so? Scalability opportunities.

Backup 115

Backup Azure Software Review Architecture 115

CTOvision

FEBRUARY 4, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. Pentaho is building the future of business analytics. Eddie Garcia.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. When I started in this work, the main business challenge was how to handle the explosion of data with ever-growing data sets and, most importantly, how to gain business intelligence in as close to real time as possible.

Big Data 93

Big Data Data Artificial Intelligence Artificial Inteligence 93

AWS Machine Learning - AI

APRIL 9, 2025

Monitor Amazon Q Business user conversations In addition to Amazon Q Business and Amazon Q Apps dashboards, you can use Amazon CloudWatch Logs to deliver user conversations and response feedback in Amazon Q Business for you to analyze. These logs are then queryable using Amazon Athena.

Weak Development Team 76

Weak Development Team Metrics AWS Systems Review 76

Datavail

APRIL 6, 2021

compute, network, storage, etc.) Oracle PaaS includes functionality for application development, content management, and business analytics, among others. You prefer a monthly or an annual payment scheme to large one-time capital expenses. Oracle IaaS (Infrastructure as a Service).

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Intelligence 97

Cloudera

JULY 13, 2022

In CDP’s Operational Database (COD) you use HBase as a data store with HDFS and/or Amazon S3/Azure Blob Filesystem (ABFS) providing the storage infrastructure. . COD uses S3, which is a cost-saving option compared to other storage available on the cloud. No Ephemeral storage. For example, 500 tables at a time. using CM 7.5.3

Disaster Recovery 91

Disaster Recovery Data Policies Azure 91

CTOvision

JANUARY 18, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. Pentaho is building the future of business analytics. Eddie Garcia.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

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

AWS Machine Learning - AI

JUNE 26, 2024

The multi-modal agent is implemented using Agents for Amazon Bedrock and coordinates the different actions and knowledge bases based on prompts from business users through the AWS Management Console , although it can also be invoked through the AWS API. In our previous post , we deployed a persistent storage solution using Amazon DynamoDB.

Artificial Inteligence 127

Artificial Inteligence Research Knowledge Base Applications 127

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. Data sources may be internal (databases, CRM, ERP, CMS, tools like Google Analytics or Excel) or external (order confirmation from suppliers, reviews from social media sites, public dataset repositories, etc.).

Business Intelligence 13

Business Intelligence Tools Data Azure 13

AWS Machine Learning - AI

AUGUST 2, 2024

Cost Monthly cost incurred for fine-tuning = Fine-tuning training cost for the model (priced by number of tokens for training data) + custom model storage per month + hourly cost (or Provisioned Throughput cost for time commitment) of custom model inference.

Artificial Inteligence 128

Artificial Inteligence Engineering Generative AI Comparison 128

AWS Machine Learning - AI

AUGUST 2, 2024

He is currently leading the Data, Advanced Analytics & Cloud Development team in the Digital, IT, Transformation & Operational Excellence department at Cepsa Química, with a focus in feeding the corporate data lake and democratizing data for analysis, machine learning projects, and business analytics.

Artificial Inteligence 117

Artificial Inteligence Generative AI Energy Knowledge Base 117

Cloudera

NOVEMBER 2, 2020

It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. These include stream processing/analytics, batch processing, tiered storage (i.e. Analytics storage and query engine for pre-aggregated event data. Analytics storage engine for huge volumes of fast arriving data.

Data 97

Data Analytics Storage Big Data 97

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. This is a very high-level view of what we provide for Big Data Fabrics.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

CIO

MARCH 27, 2023

Today, Reis and his team are early-stage partners with the business to ideate new digital strategies aimed at keeping the healthcare provider at the forefront of patient experience and care, safety, and innovation. “In Leveraging data, advanced analytics, and AI is top priority across the board.

Strategy 164

Strategy Survey Analytics Technical Advisors 164

The Agile Monkey

MARCH 14, 2023

Why making the extra investment on development time and data storage? It’s not the same to say “the order has been updated” as saying “the order has been paid,” the second statement is way more relevant from a business analytics point of view.

Artificial Inteligence 98

Artificial Inteligence System Software Machine Learning 98

Hu's Place - HitachiVantara

MAY 10, 2019

For this reason, many financial institutions are converting their fraud detection systems to machine learning and advanced analytics and letting the data detect fraudulent activity. A data pipeline that is architected around so many piece parts will be costly, hard to manage and very brittle as data moves from product to product.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

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

CTOvision

JULY 25, 2016

Leveraging more than 40 years of experience in developing and servicing the world’s most advanced supercomputers, Cray offers a comprehensive portfolio of supercomputers and big data storage and analytics solutions delivering unrivaled performance, efficiency and scalability. These entities are separate subsidiaries of Deloitte LLP.

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

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. Norton is one example of security software.

Software Review 98

Software Review Industry Software Technical Review 98

Cloudera

JANUARY 14, 2021

The leading global mass merchant—that scored highest in rankings—recognized a need to improve cold storage temperature fluctuations on grocery products, understanding that both high and low-temperature variations could lead to excessive shrink (waste).

Retail 72

Retail Agile Analytics Storage 72

Mobilunity

NOVEMBER 24, 2021

In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. The growing number of data sources and the need for data storage and analysis require companies to conduct a meticulous collection, storage, and processing of information. Secure Way of Data Storage.

Development 52

Development Storage Recruiting Architecture 52

Cloudera

NOVEMBER 18, 2020

Telkomsel has also been able to increase storage efficiency resulting in an 80% cost reduction compared to previous technology stacks. This transformation enabled Telkomsel to increase campaign take-up rate to increase revenue up to 400% and create 29% growth in its digital services revenues. Data for Good.

Data 123

Data Analytics Banking Big Data 123

Cloudera

AUGUST 31, 2020

With data storage taking place in various places, from on-prem to the cloud, to the edge, speed of access is an essential factor. The velocity that data enters an enterprise, together with the variety of sources, can make it difficult to process data and generate meaningful insights in real-time. .

Analytics 101

Analytics Airlines Off-The-Shelf Insurance 101

Cloudera

FEBRUARY 8, 2021

Cloudera is proud to provide the underlying data management fabric to the solution – everything from reliably moving connected vehicle data to the Cloud, to providing large scale data storage, processing, analytics and machine learning – the foundations of real-time insights and in-vehicle decision making.” .

Data 108

Data Machine Learning Artificial Inteligence Automotive 108

AWS Machine Learning - AI

JULY 25, 2024

To make this integration process as seamless as possible, Amazon Q Business offers multiple pre-built connectors to a wide range of data sources, including Atlassian Jira, Atlassian Confluence, Amazon Simple Storage Service (Amazon S3), Microsoft SharePoint, Salesforce, and many more. It provides the UI to view the items in a list.

Azure 105

Azure Authentication Artificial Inteligence Generative AI 105

Datavail

SEPTEMBER 17, 2019

Performing real-time or predictive business analytics with minimal latency. Costs are largely calculated according to the size of the storage used and the number of servers. If your business has already deployed MongoDB, Atlas has several key features that are different than the non-managed version of the NoSQL database.

Cloud 40

Cloud Azure Big Data Storage 40

Perficient

FEBRUARY 22, 2024

Besides data-intensive activities such as data storage management and data transformation, a robust data fabric requires a data virtualization layer as a sole interfacing logical layer that integrates all enterprise data across various source applications.

Virtualization 52

Virtualization Enterprise Data Analytics 52

AWS Machine Learning - AI

JULY 10, 2024

The required training dataset (and optional validation dataset) prepared and stored in Amazon Simple Storage Service (Amazon S3). He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT.

Artificial Inteligence 130

Artificial Inteligence Airlines Training Generative AI 130

Cloudera

OCTOBER 28, 2020

YES BANK partnered with Cloudera to build a unified on-premise data management platform that provides speed, agility, flexibility, and storage capacity to process unstructured data and run real-time analytics while heightening the data security necessary to meet high governance standards and stringent data security regulations.

Data 74

Data Analytics Banking Machine Learning 74

Actian

AUGUST 7, 2019

The same cloud providers that are hosting localized applications can provision a data warehouse in-region with both the compute and storage capacity for performing business analytics and data mining. The cloud makes deploying localized data warehouses easier and cheaper than on-premise alternatives.

System 40

System Cloud Data Data Center 40