IBM Big Data Hub

MAY 12, 2023

A global fast-moving consumer goods (FMCG) enterprise needed to modernize its product portfolio, focusing on high-growth categories like pet care, coffee and consumer health.

Consulting 78

Consulting Cost-Benefit Optimization Dashboards 78

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. Examine the current level of Azure ecosystem support to ensure that any services on which your solutions rely are supported by Gen2. Determine your preparedness. What are the differences between Gen1 and Gen2?

Data Lake 100

Data Lake Cost-Benefit Data Warehouse Big Data 100

CIO Business Intelligence

MAY 26, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 93

IT Prescriptive Analytics Deep Learning Reporting 93

Data Science 101

MAY 20, 2019

You can get this information as the Microsoft Azure Data Scientist Checklist. Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification. Azure ML Studio. Azure Products.

Data Science 111

Data Science Machine Learning Deep Learning Testing 111

CIO Business Intelligence

DECEMBER 19, 2023

The software automatically classifies bonds into ERISA-eligible and non-eligible categories to ascertain their investment safety. Using technologies like Azure Form Recognizer and Azure OpenAI, BondReco not only enhances accuracy in digitizing data but also crafts reports that justify investment classifications.

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

CIO Business Intelligence

OCTOBER 14, 2022

Like SaaS, it is an all-inclusive category that can span the entire IT infrastructure portfolio from compute to storage to networks. Examples include Amazon Web Services (AWS) and Microsoft Azure. NaaS is different from SaaS and IaaS because it relates only to networking functionality, (i.e.,

IT 84

IT Software Enterprise Modeling 84

Data Science 101

DECEMBER 27, 2019

An intro to Azure FarmBeats An innovative idea to bring data science to farmers. Global AI Bootcamp Keynote Eric Boyd from Microsoft gives an overview of the latest features in Azure AI. It walks through classifying Yahoo Answers into different categories. AWS Deep Learning Containers now support Tensorflow 2.0

Data Science 86

Data Science Deep Learning Data-driven IT 86

CIO Business Intelligence

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

MARCH 15, 2024

According to IDC SaaS Path research from 2023 , 67% of businesses with more than 1,000 employees have employed a SaaS management platform, says IDC analyst Frank Della Rosa — a market category that includes a broad array of options, such as Productiv, Zylo, Flexera One, Blissfully, Torii, BetterCloud, Zluri, Apptio, and LeanIX, among many others.

Strategy 131

Strategy Enterprise Management Finance 131

Smart Data Collective

AUGUST 9, 2022

For example, Microsoft Azure offers a wide range of products across an entire ecosystem, allowing enterprises the flexibility to choose the tools and development environment that will work best for them without compromising security. Developers should look closely at the data and its use and determine the correct category for the data.

Big Data 111

Big Data Technology Testing Cost-Benefit 111

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Azure DevOps. Azure Repos – Unlimited, cloud-hosted private Git repos. . To date, we count over 100 companies in the DataOps ecosystem. Liquibase — Database release automation for software development teams. AWS Code Deploy.

Testing 307

Testing Machine Learning Consulting Data Quality 307

IBM Big Data Hub

AUGUST 15, 2023

The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). It also captures the impact from optimizing popular PaaS services like Azure App Service.

Optimization 63

Optimization Measurement Cost-Benefit Dashboards 63

Jet Global

DECEMBER 12, 2022

Adopting a new SaaS model, Jet Analytics Cloud is delivered via Microsoft Azure to provide a seamless and enhanced user experience. The shift to the cloud makes Jet Analytics available via a SaaS model, hosted on Microsoft’s Azure public cloud. It is available in North America, UK, and West Europe Azure hosting regions.

Analytics 52

Analytics Finance Data Processing Consulting 52

Laminar Security

DECEMBER 13, 2023

For example, an AI system could be trained to classify emails into categories like “sensitive” or “restricted” based on patterns it has learned from a training dataset. It could be further trained to classify data into important categories such as PII, PHI and PCI, increasing efficiency in both data classification, and ultimately security.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

BI-Survey

OCTOBER 27, 2020

The ecosystem around Microsoft Azure Analytics is growing fast – service partners and software vendors are adopting the platform to offer added value in add-on software solutions and services. What is the difference between the Azue Analytics browser and the Azure Analytics Map? Q&A for vendors. How often is the website updated?

Consulting 52

Consulting Software Marketing Metadata 52

Smart Data Collective

NOVEMBER 15, 2022

Cloud computing services can be divided into three broad categories: Infrastructure as a Service (IaaS). Some examples of IaaS providers include Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Some examples of PaaS providers include AWS Elastic Beanstalk, Heroku, and Microsoft Azure App Service.

Cost-Benefit 109

Cost-Benefit Software Reporting Technology 109

CIO Business Intelligence

DECEMBER 16, 2022

Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE).

Testing 90

Testing Metadata Data Processing Machine Learning 90

CIO Business Intelligence

OCTOBER 4, 2023

AI skills more valuable than certifications There were a couple of stand-outs among those.

Prescriptive Analytics 127

Prescriptive Analytics IT Machine Learning Risk 127

CIO Business Intelligence

OCTOBER 13, 2023

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

O'Reilly on Data

APRIL 19, 2021

Unfortunately, we don’t know which industries are represented by that category—but it shows that the spread of AI has indeed become broad! A second group of tools, including Amazon’s SageMaker (25%), Microsoft’s Azure ML Studio (21%), and Google’s Cloud ML Engine (18%), clustered around 20%, along with Spark NLP and spaCy.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Jet Global

SEPTEMBER 4, 2020

The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Microsoft is investing big in its Azure Data Lake Services (ADLS) platform, but customers should exercise caution before they commit to the data lake approach. Another Alternative to BYOD.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Cloudera

NOVEMBER 16, 2021

Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc). In a matter of minutes, you can develop and deploy functions for all cloud providers. Functions as a Service.

KPI 105

KPI Data-driven IoT Optimization 105

CIO Business Intelligence

MARCH 21, 2022

Structured data is organized, typically by categories that make it easy for computers to sort, read, and organize automatically. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

Unstructured Data 134

Unstructured Data Data Analytics Analytics Structured Data 134

CIO Business Intelligence

NOVEMBER 15, 2022

This category of ransomware, data protection, ability to recover data without delay is now a board priority, not just an infrastructure admin or IT priority,” Eswaran said. “It’s true that companies are being more cautious with macroeconomic environments in play, there are pauses in capital expenditure, hiring etc.

Marketing 52

Marketing Business Objectives Risk Data Architecture 52

Jet Global

APRIL 30, 2019

They can sit inside your D365FO instance, or in a separate Azure space (BYOD – Bring Your Own Database), which stores the data entities in Azure but in a SQL format which is accessible to reporting. There are 5 categories of data entities based on their functions and the type of data that they serve: Parameter (Ex.

Finance 73

Finance OLAP Reporting Data Warehouse 73

CIO Business Intelligence

MAY 26, 2022

MLOps vendors tend to fall into three categories, starting with the big cloud providers, including AWS, Azure, and Google cloud, which provide MLOps capabilities as a service, Subramanian says. The third category is what they used to call data management vendors,” he says.

Machine Learning 143

Machine Learning Modeling Data-driven Enterprise 143

Jet Global

OCTOBER 7, 2020

They can sit inside your D365 F&SCM instance or in a separate Azure space, referred to as Bring Your Own Database (BYOD), which stores the data entities in Azure but in an SQL format that is accessible to reporting. Data entities are extracted using Microsoft’s Data Extract Apps. General Ledger).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

CIO Business Intelligence

MAY 28, 2022

MLOps vendors tend to fall into three categories, starting with the big cloud providers, including AWS, Azure, and Google cloud, which provide MLOps capabilities as a service, Subramanian says. The third category is what they used to call data management vendors,” he says.

Machine Learning 132

Machine Learning Modeling Data-driven Enterprise 132

Jet Global

JULY 2, 2019

For example, Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed—and do all types of processing and analytics across platforms and languages. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

erwin

APRIL 27, 2022

This year Quest® (including erwin) is competing in 7 out of 29 product / solution categories: Best CDC Solution (Quest Shareplex). This is a reader’s choice award, and that means winners are determined by the number of votes received — by loyal customers like you. Best Data Governance Solution (erwin Data Intelligence).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

BizAcuity

NOVEMBER 22, 2022

Snowflake is built on top of the Amazon Web Services, Microsoft Azure, and Google cloud infrastructure. Snowpipe data ingestion might be too slow for three use categories: real-time personalization, operational analytics, and security. When Snowpipe imports data, it can take minutes to show up in the database and be visible.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Business Over Broadway

JANUARY 19, 2021

Cloud-based data software and APIs (AWS, GCP, Azure, etc.) (5%). This study looked at two broad categories of tools: 1) Analytics and 2) Business Intelligence. Business intelligence software (Salesforce, Tableau, Spotfire, etc.) (6%). Advanced statistical software (SPSS, SAS, etc.) (6%). Other (3%). Primary tools used to analyze data.

Business Intelligence 85

Business Intelligence Analytics Statistics Machine Learning 85

Laminar Security

DECEMBER 1, 2023

To address these challenges and protect cloud data, organizations need a new category of cloud security solutions. A good DSPM solution should provide the following features: Data discovery: The ability to scan and discover sensitive data across various cloud platforms and services, such as AWS, Azure, GCP, Salesforce, Office 365, etc.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

CIO Business Intelligence

AUGUST 11, 2022

Organizations considering SAP RISE must also come to terms with putting a significant amount of their AWS, GCP, or Microsoft Azure spend behind their SAP relationship, versus maintaining a direct relationship with their hyperscaler of choice.

Consulting 77

Consulting Strategy Modeling Marketing 77

BizAcuity

APRIL 1, 2023

Snowflake is built on top of the Amazon Web Services, Microsoft Azure, and Google cloud infrastructure. Snowpipe data ingestion might be too slow for three use categories: real-time personalization, operational analytics, and security. This is too slow for certain types of analytics, especially when near real-time is required.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

Smart Data Collective

JUNE 4, 2021

Learning the various categories of machine learning, associated algorithms, and their performance parameters is the first step of machine learning. In classification, the category of observation is predicted. Popular options among cloud computing are amazon web services, google cloud, and Microsoft azure.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Insight

AUGUST 12, 2019

These categories are listed in order of importance: Linux Fundamentals Data Structures and Algorithms System Design Parsing DevOps Tools It’s good to develop a wide, shallow base of knowledge first, so load balance across topics in a round-robin fashion at first. Maybe you’ll focus on another topic for a week straight.

Software 65

Software Data-driven Testing Interactive 65