Ontotext

APRIL 10, 2024

Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience. Bad data tax is rampant in most organizations. Sadly, data quality is losing to data quantity, resulting in “ Infobesity ”. “Any

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Ontotext

FEBRUARY 12, 2024

It also breaks down the code and data monolith and distributes it across the domain teams, which results in better management and scalability. The data mesh concept will mitigate cognitive overload when building data-driven organizations that require intense technical, domain, and operational knowledge.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 85

Data Lake Data Governance Data Architecture Machine Learning 85

CIO Business Intelligence

APRIL 24, 2024

But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I The goal is to correlate all types of data that affect assets and bring it all into the digital twin to take timely action,” says D’Accolti.

Digital Transformation 102

Digital Transformation Business Intelligence Unstructured Data Data Lake 102

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. times better performance than the self-managed version.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

CIO Business Intelligence

MAY 21, 2024

Real-Time Intelligence, on the other hand, takes that further by supporting data in AWS, Google Cloud Platform, Kafka installations, and on-prem installations. “We We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft. You can monitor and act on the data and you can set thresholds.”

Broadcasting 79

Broadcasting Recreation/Entertainment Manufacturing Data Lake 79

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a distributed storage environment is complex with no map to guide technology professionals.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift.

Data Warehouse 110

Data Warehouse Testing Data Quality Reporting 110

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Metrics 81

Metrics Data Quality Data Lake Statistics 81

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges. Let’s explore some of the most important findings that the survey uncovered.

Data Architecture 89

Data Architecture Strategy Data Lake Data-driven 89

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. 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.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Alation

NOVEMBER 2, 2022

It all starts with great management,” Sayle shares. “We’ve And I think this is really a bet on management and their vision for the company.”. Greg Sands is the founder and managing director at Costanoa Ventures, which was the first VC firm to invest in Alation nearly one decade ago. Greg Sands of Costanoa Ventures.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

Peter James Thomas

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Architecture / Infrastructure.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Cloudera

AUGUST 30, 2022

That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. As such, managers at different agencies need to sort through multiple systems to make sure these documents are delivered correctly—even though they all apply to the same individuals.”. Modern data architectures.

Data Architecture 76

Data Architecture Data Lake Metadata Data Warehouse 76

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Cloudera

SEPTEMBER 6, 2022

There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The challenges.

Data Architecture 82

Data Architecture Cost-Benefit Digital Transformation Business Driver 82

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

AWS Big Data

APRIL 5, 2023

“If each tool tells a different story because it has different data, we won’t have alignment within the business on what this data means.” In addition, Showpad can deprecate custom reporting, infrastructure, and multiple tools with the new data architecture and QuickSight.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MARCH 9, 2022

They’re comparatively expensive and can’t handle big data analytics. However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies.

Data Lake 112

Data Lake Unstructured Data Data Warehouse Data Quality 112

CIO Business Intelligence

JANUARY 30, 2024

“CIOs are in a unique position to drive data availability at scale for ESG reporting as they understand what is needed and why, and how it can be done.” “The As regulation emerges, the needs for auditable, data-backed reporting is raising the stakes and elevating the role of data in ESG — and hence the [role of the] CIO.”

Reporting 110

Reporting Data Quality Strategy Data-driven 110

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. The delays impact delivery of the reports to senior management, who are responsible for making business decisions based on the dashboard. Figure 2: Example data pipeline with DataOps automation.

Testing 152

Testing Metadata Dashboards Statistics 152

IBM Big Data Hub

AUGUST 4, 2023

Data democratization is often conflated with data transparency, which refers to processes that help ensure data accuracy and easy access to data regardless of its location or the application that created it. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

CIO Business Intelligence

JANUARY 20, 2023

A big part of preparing data to be shared is an exercise in data normalization, says Juan Orlandini, chief architect and distinguished engineer at Insight Enterprises. Data formats and data architectures are often inconsistent, and data might even be incomplete. They have data swamps,” he says.

Data Lake 132

Data Lake Data-driven Finance Data Architecture 132

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

BI-Survey

DECEMBER 22, 2020

Its availability and quality are crucial for digital success, making it an important economic asset for the business. Data management is unfortunately considered to be a thankless task. Data experts know all too well that their company data is usually not in such good shape. Leverage Your Data.

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52