AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. AWS provides flexibility and a wide breadth of features to ingest data, build AI and ML applications, and run analytics workloads without having to focus on the undifferentiated heavy lifting.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 75

Metadata Data Lake Data Processing Data-driven 75

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For Host , enter the Redshift Serverless endpoint’s host URL. This is optional.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. The third post will show how end-users can consume data from their tool of choice, without compromising data governance.

Data Governance 66

Data Governance Management Data-driven Data Lake 66

datapine

DECEMBER 11, 2019

It’s also popular amongst businesses for its simplicity and user accessibility, security, and the widespread connectivity that serves to streamline business models, resulting in maximum efficiency across the board. Artificial Intelligence (AI) technologies are becoming more widespread; it’s becoming a game-changer worth $15.7

Software 314

Software Cost-Benefit Data Processing Data-driven 314

datapine

MARCH 25, 2019

With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. This is one of the most important data analytics techniques as it will shape the very foundations of your success.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

CIO Business Intelligence

MARCH 10, 2022

To that end, UAB’s next step is to tackle big decisions around expanding its AI and data analytics platforms, says Carver, who is not handling the long-term planning alone. The university’s learning management system, for example, runs on Amazon Web Services, and other services are hosted on Google Cloud Platform.

IT 98

IT Data Lake Digital Transformation Data Governance 98

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS. Some examples of Acast’s domains are presented in the following figure.

Data-driven 86

Data-driven Advertising Metadata Data Architecture 86

CIO Business Intelligence

FEBRUARY 28, 2024

Data and API infrastructure “Data still matters,” says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at London-based independent analyst and consultancy Omdia. So by using the company’s data, a general-purpose language model becomes a useful business tool.

IT 131

IT Consulting Modeling Enterprise 131

CIO Business Intelligence

AUGUST 16, 2023

Many companies start out with OpenAI, says Sreekar Krishna, managing director for data and analytics at KPMG. Snowflake’s Document AI is a LLM that runs within a secure, private environment, he says, without any risk that private data would be shipped off to an outside service or wind up being used to train the vendor’s model. “We

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

CIO Business Intelligence

FEBRUARY 27, 2023

It was a tie for third place, with data governance issues, workload and data portability, regulatory compliance, and ensuring security across public clouds all cited by 24%. But there are still many factors holding back multicloud adoption in the enterprise. Our core applications all run on Oracle databases,” he said.

Cost-Benefit 143

Cost-Benefit Insurance Enterprise Optimization 143

IBM Big Data Hub

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives. trillion in value.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Domino Data Lab

JULY 2, 2019

That speaks to the remarkable learning curve aspects of SQL, how oh-so-much data munging can be performed without having to sweat the details. Clearly, SQL helps reduce cognitive load for those who are learning about data management and analytics. Data-related events to mark on your calendars: spaCy IRL , Jul 5-6, Berlin.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Alation

JUNE 21, 2022

As HPE expands its edge-to-cloud strategy by increasing investment in organizations conquering edge/cloud/data obstacles, Alation was recognized as a category-leading startup that integrates with the HPE product portfolio. Hosting an entire data environment in the cloud is costly and unsustainable. The Cloud Storage Challenge.

Digital Transformation 52

Digital Transformation Metadata Cost-Benefit Data Governance 52

CIO Business Intelligence

JUNE 21, 2023

hosted in a private Azure cloud. Another option for companies with very particular requirements but no interest in training their own models is to use something like ChatGPT and then give it access to company data via a vector database. Data has to be centralized and optimized for AI applications, he says. Turbo and GPT 4.0

Cost-Benefit 118

Cost-Benefit Modeling Risk Enterprise 118

AWS Big Data

DECEMBER 21, 2023

It took up to 3 hours to generate daily reporting, which impacted business decision-making when re-calculations needed to happen during the day. To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

CIO Business Intelligence

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

Jet Global

OCTOBER 11, 2023

Embedded analytics is a game-changer for software teams developing web-based applications. It seamlessly integrates data insights into existing workflows, boosting user engagement, and enabling real-time decision-making. These software teams understand that the usage of ABI ultimately drives better business outcomes.

Dashboards 52

Dashboards Data-driven Software Reporting 52

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Data warehouses can be complex, time-consuming, and expensive. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52