AWS Big Data

MARCH 25, 2024

This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications. For building such a data store, an unstructured data store would be best. This is typically unstructured data and is updated in a non-incremental fashion.

Data Lake 93

Data Lake Unstructured Data Management Modeling 93

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Alation

FEBRUARY 13, 2020

Whether we’re speaking to data analysts or CDOs, data people almost instantly understand the value of the Alation Data Catalog. Faces light up when we describe how Alation helps enterprises find, understand, trust, use and reuse data. At some level, every enterprise is struggling to connect data to decision-making.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

Jedox

OCTOBER 22, 2020

Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence. While data analytics can provide many benefits to organizations that use it, it’s not without its challenges.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

CIO Business Intelligence

NOVEMBER 25, 2022

Today, more than 90% of its applications run in the cloud, with most of its data is housed and analyzed in a homegrown enterprise data warehouse. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

IBM Big Data Hub

AUGUST 1, 2023

Organizations that utilize them correctly can see a myriad of benefits—from increased operational efficiency and improved decision-making to the rapid creation of marketing content. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? All watsonx.ai

Modeling 59

Modeling Cost-Benefit Data Lake Machine Learning 59

BizAcuity

APRIL 14, 2022

The return on investment is a huge concern expressed by a fair share of businesses or if they are ready yet for managing such a huge level of data. The truth is that with a clear vision, SMEs too can benefit a great deal from big data. It includes data generation, aggregation, analysis and governance. Poor data quality.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MAY 24, 2022

The second will focus on the growth in volume and type of data required to be stored and managed, and the ways in which value can be extracted from data. The third will examine the challenges of realising that value, the attributes of a successful data-driven organisation, and the benefits that can be gained.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

BizAcuity

MAY 10, 2022

It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. Despite cost-cutting being the main reason why most companies shift to the cloud, that is not the only benefit they walk away with. Cloud washing is storing data on the cloud for use over the internet.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

APRIL 4, 2023

In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. This architecture is important because, to reap the full benefits of AI, it must be built to scale across an enterprise versus individual AI applications. Constructing the right data architecture cannot be bypassed.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. Data for Enterprise AI. And this year has seen some truly remarkable work put forward.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

AWS Big Data

FEBRUARY 21, 2023

Because data is closer to the source and stored in raw format, it has to be transformed before it can be used for reporting and other application purposes. This is one of the biggest hurdles with the data vault approach. The majority of healthcare clinical quality data warehouses are built on top of dimensional modeling techniques.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. How do spreadsheet users benefit from Alation Connected Sheets ?

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Big Data is an ecosystem as well as a philosophy.

Cost-Benefit 73

Cost-Benefit Big Data ROI Risk 73

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

MARCH 6, 2023

When you store and deliver data at Shutterstock’s scale, the flexibility and elasticity of the cloud is a huge win, freeing you from the burden of costly, high-maintenance data centers. For Shutterstock, the benefits of AI have been immediately apparent. If you’re not keeping up, you’re getting left behind.”

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. In the Enterprise Data Management realm, such a data domain is called an Authoritative Data Domain (ADD).

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake 67

Data Lake Data Governance Data Warehouse Modeling 67

Alation

APRIL 19, 2022

Today, enterprises are moving many legacy applications to the cloud to support Friedman’s vision of global collaboration. In the cloud, enterprises can drive agile and quick decisions — and compete more effectively. In that sense, data modernization is synonymous with cloud migration. Data Pipeline Automation.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52