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. For efficient task automation, scheduling should be done to avoid performance and memory issues.

Open Source 173

Open Source Business Analytics Data Storage 173

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

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?

Backup 115

Backup Azure Software Review Architecture 115

AWS Machine Learning - AI

APRIL 9, 2025

Overview of key metrics Amazon Q Business Insights (see the following screenshot) offers a comprehensive set of metrics that provide valuable insights into user engagement and system performance. These comprehensive metrics are crucial for organizations to optimize their Amazon Q Business implementation and maximize ROI.

Weak Development Team 95

Weak Development Team Metrics AWS Systems Review 95

CTOvision

FEBRUARY 4, 2015

Enabling Business Results with Big Data. Finding Value in Enterprise Data with High-Performance Analytics. High Performance Computing Lead, NASA Center for Climate Simulation (NCCS). High Performance Computing Lead, NASA Center for Climate Simulation (NCCS). Pentaho is building the future of business analytics.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JULY 31, 2013

They identified key requirements of self-service access, high performance and security. It provides storage and the source for business analytics. It also allows processing for data preparation and advanced analytics. Meeting the Performance Requirement. The Platfora Integrated Platform.

Big Data 91

Big Data Data Business Intelligence Analytics 91

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? Our Expertise lies in Data Lake Solutions too.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

AWS Machine Learning - AI

AUGUST 2, 2024

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Provide details on revenue, operating income, segment performance, and important strategic initiatives or product launches during the quarter.

Artificial Inteligence 134

Artificial Inteligence Engineering Generative AI Comparison 134

AWS Machine Learning - AI

AUGUST 2, 2024

Batch ingestion module The batch ingestion module performs the initial processing of the raw compliance documents and product catalog and generates the embeddings that will be later used to answer user queries. After data is extracted, the job performs document chunking, data cleanup, and postprocessing.

Artificial Inteligence 130

Artificial Inteligence Generative AI Energy Knowledge Base 130

AWS Machine Learning - AI

JUNE 26, 2024

To add to these challenges, they must think critically under time pressure and perform their tasks quickly to keep up with the pace of the market. In our previous post , we deployed a persistent storage solution using Amazon DynamoDB. The following diagram illustrates the technical architecture.

Artificial Inteligence 138

Artificial Inteligence Research Knowledge Base Applications 138

CTOvision

JANUARY 18, 2015

Enabling Business Results with Big Data. Finding Value in Enterprise Data with High-Performance Analytics. High Performance Computing Lead, NASA Center for Climate Simulation (NCCS). High Performance Computing Lead, NASA Center for Climate Simulation (NCCS). Pentaho is building the future of business analytics.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

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. . HBase replication policies also provide an option called Perform Initial Snapshot. COD uses S3, which is a cost-saving option compared to other storage available on the cloud.

Disaster Recovery 91

Disaster Recovery Data Policies Azure 91

Datavail

APRIL 6, 2021

compute, network, storage, etc.) Oracle’s IaaS offering is Oracle Cloud Infrastructure (OCI), which includes everything from bare-metal servers and virtual machines (VMs) to more advanced offerings like GPUs (graphics processing units) and high-performance computing. that is remotely provisioned and managed over the Internet.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Intelligence 97

AWS Machine Learning - AI

JULY 10, 2024

Fine-tuning Anthropic Claude 3 Haiku on proprietary datasets can provide optimal performance on specific domains or tasks. During fine-tuning, the weights of the pre-trained Anthropic Claude 3 Haiku model will get updated to enhance its performance on a specific target task.

Artificial Inteligence 133

Artificial Inteligence Airlines Training Generative AI 133

Cloudera

NOVEMBER 2, 2020

Data processing and analytics drive their entire business. So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. These include stream processing/analytics, batch processing, tiered storage (i.e.

Data 97

Data Analytics Storage Big Data 97

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

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

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. It enables analytic and BI tools to extend their reach to incorporate easier accessibility to both data and analytics.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

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. Go to www.cray.com for more information.

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

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

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

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

NOVEMBER 18, 2020

Merck KGaA, Darmstadt, Germany, is a leading science and technology company, operating across healthcare, life science, and performance materials business areas. The Advanced Analytics team supporting the businesses of Merck KGaA, Darmstadt, Germany was able to establish a data governance framework within its enterprise data lake.

Data 123

Data Analytics Banking Big Data 123

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 123

Azure Authentication Artificial Inteligence Generative AI 123

Datavail

SEPTEMBER 17, 2019

Other standard Atlas offerings include self-healing clusters, global scalability, virtual private cloud (VPC) security, and easy-to-use performance optimization tools which can be visualized with real-time dashboards. Performing real-time or predictive business analytics with minimal latency. Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

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. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Engineering 52

Sunflower Lab

JULY 5, 2023

Intelligent Process Automation Intelligent Process Automation is an approach where we can see the integration of different technologies like AI, ML and RPA to perform operations in order to get more productive, efficient and error-free results. Ai helps in achieving efficiency and accuracy in business operations. 2.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

AWS Machine Learning - AI

SEPTEMBER 18, 2024

We recommend that customers test both Sonnet and Haiku to determine the optimal balance between performance and cost for their specific use case. Yet, Haiku may require more prescriptive prompts and examples to achieve similar results. Prerequisites For this post, you need the following prerequisites: An AWS account.

Generative AI 131

Generative AI Artificial Inteligence Fractional CTO Guidelines 131

Actian

AUGUST 7, 2019

You can now have a single application that is replicated globally and use routing rules to connect the application to different databases, either based on performance criteria or geopolitical rules. Modern cloud architecture changes that. The impact of data localization rules on data warehouses.

System 40

System Cloud Data Data Center 40

Actian

AUGUST 7, 2019

You can now have a single application that is replicated globally and use routing rules to connect the application to different databases, either based on performance criteria or geopolitical rules. Modern cloud architecture changes that. The impact of data localization rules on data warehouses.

System 8

System Cloud Data Data Center 8

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

Mobilunity

NOVEMBER 17, 2021

A Platform as a Service provider manages the storage, servers, networking resources and data centers. Microsoft’s Azure PaaS includes operating systems, development tools, database management, and business analytics. The platform is designed to scale and support both small development teams and large businesses.

Software Review 52

Software Review How To Systems Review Operating System 52

Actian

AUGUST 19, 2019

Enable business analytics and decision-making. IoT devices aren’t highly sophisticated, don’t contain much internal storage and typically aren’t capable of complex data processing. Leverage cloud-scale compute to process the data. As you might imagine, these reasons are not entirely independent.

IoT 45

IoT Cloud Data Analytics 45

Codegiant

NOVEMBER 9, 2020

Performance tracker. File storage services, tracking of issues, Wikis, integrations, and add-ons. Support cluster to increase build performance. No analytics on the end-to-end deployment cycle. Cons Lower storage limit. Performance Management. Pros Optimized for high performance. Documentation editor.

Software Review 64

Software Review Weak Development Team Tools Development 64

The Accidental Successful CIO

JULY 21, 2021

In most companies, IT departments have been responsible for data collection, storage and management. The job of data analysis , meanwhile, is usually handled within individual business units. However, before any employment meeting ends, it’s always a good idea for you to toss a few probing questions back to the interviewer.

Analytics 52

Analytics Technical Review Systems Review Trends 52

Actian

AUGUST 19, 2019

Enable business analytics and decision-making. IoT devices aren’t highly sophisticated, don’t contain much internal storage and typically aren’t capable of complex data processing. Leverage cloud-scale compute to process the data. As you might imagine, these reasons are not entirely independent.

IoT 8

IoT Cloud Data Analytics 8

Sunflower Lab

JULY 5, 2023

Many hurdles are faced by the enterprises, including the hospital administrations due to mounting level of data everyday, it is not possible to handle them in physical form and so cloud-based services take care of the data storage, but the efficiency and ability of organize these much data cannot be done in orthodox manner.

Healthcare 52

Healthcare Data Business Intelligence Technical Review 52