CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

NOVEMBER 1, 2023

It will be optimized for development in Java and JavaScript, although it’ll also interoperate with SAP’s proprietary ABAP cloud development model, and will use SAP’s Joule AI assistant as a coding copilot. Those initiatives will be made available to users of the new SAP Build Code, among other tools.

Enterprise 132

Enterprise Cost-Benefit Unstructured Data Software 132

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

AUGUST 9, 2023

Before generative AI can be deployed, organizations must rethink, rearchitect and optimize their storage to effectively manage generative AI’s hefty data management requirements. Unstructured data needs for generative AI Generative AI architecture and storage solutions are a textbook case of “what got you here won’t get you there.”

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. MLOps creates a process where it’s easier to cull insights from business data.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Data Virtualization

MAY 26, 2021

Data is becoming increasingly important for understanding markets and customer behaviors, optimizing operations, deriving foresights, and gaining a competitive advantage. Over the last decade, the explosion of structured and unstructured data as well as digital technologies in general, has enabled.

Unstructured Data 80

Unstructured Data Optimization Marketing Technology 80

Cloudera

SEPTEMBER 12, 2022

And second, for the data that is used, 80% is semi- or unstructured. Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. The post Chose Both: Data Fabric and Data Lakehouse appeared first on Cloudera Blog.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

CIO Business Intelligence

JUNE 28, 2023

The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

CDW Research Hub

MARCH 12, 2021

For organizations trying to get a better handle on their data so they can see how it affects their business outcomes, the digital age has accelerated the need for modernizing the data centers. IT is constantly under immense pressure to improve, scale, consolidate, and optimize applications to meet the needs of their end-users.

Unstructured Data 52

Unstructured Data Internet of Things IoT Data Architecture 52

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. The first platform is Command, a core agent-facing CRM that supports Keller Williams’ agents and real estate teams.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

CIO Business Intelligence

AUGUST 21, 2024

These projects include those that simplify customer service and optimize employee workflows. Plus, each agent can be optimized for its specific tasks. If an LLM is optimized for a particular purpose, performance might suffer in other areas, but with multi-agents, one task can be isolated and improved.

Risk 136

Risk Insurance Cost-Benefit Software 136

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. It provides the ability to collect data from tens of thousands of data sources and ingest in real time.

Analytics 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Unstructured Data Management.

Big Data 52

Big Data Data Analytics Management Analytics 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

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 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

JULY 31, 2024

In the current industry landscape, data lakes have become a cornerstone of modern data architecture, serving as repositories for vast amounts of structured and unstructured data. Later, we use an AWS Glue exchange, transform, and load (ETL) job for batch processing of CDC data from the S3 raw data lake.

Data Lake 116

Data Lake Marketing Data Processing Management 116

IBM Big Data Hub

FEBRUARY 2, 2023

Misconception 3: All data warehouse migrations are the same, irrespective of vendors While migrating to the cloud, CTOs often feel the need to revamp and “modernize” their entire technology stack – including moving to a new cloud data warehouse vendor. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. What Is the Role of the Cloud in Data Modernization?

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

Ontotext

DECEMBER 1, 2023

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Machine Learning Consulting 78

erwin

SEPTEMBER 16, 2024

Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption. Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

CIO Business Intelligence

APRIL 4, 2023

Businesses that lead in fully deploying AI will be able to optimize customer experiences and efficiencies that help maximize customer retention and customer acquisition and gain a distinct advantage over the competition. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Jet Global

OCTOBER 1, 2024

Universal Data Connectivity: No matter your data source or format, Simba’s industry-standard drivers ensure compatibility. Whether you’re working with structured, semi-structured , or unstructured data , Simba makes it easy to bridge the gap between Trino and virtually any BI tool or ETL platform.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

CIO Business Intelligence

NOVEMBER 25, 2024

AI-powered co-pilots, both within agencies and in customer-facing roles, could optimize processes and personalize interactions, raising citizen satisfaction as much as enterprises that see revenue lifts of 5 to 25% through personalization. Like a Tesla, these become intelligent systems that learn, adapt and deliver extraordinary value.

Digital Transformation 115

Digital Transformation Unstructured Data Cost-Benefit Data Architecture 115

AWS Big Data

FEBRUARY 19, 2025

Big data processing and analytics have emerged as fundamental components of modern data architectures. Organizations worldwide use these capabilities to extract actionable insights and facilitate data-driven decision-making processes. Amazon EMR has long been a cornerstone for big data processing in the cloud.

Big Data 76

Big Data Optimization Strategy Data-driven 76

AWS Big Data

APRIL 28, 2025

Many organizations turn to data lakes for the flexibility and scale needed to manage large volumes of structured and unstructured data. The migration was done with a cost optimized mindset with incremental updates and partition-level synchronization that minimized the usage of compute and storage resources.

Data Lake 67

Data Lake Metadata Cost-Benefit Snapshot 67