CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

AWS Big Data

APRIL 29, 2024

Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 93

Management Big Data Metadata Data Warehouse 93

Ontotext

NOVEMBER 16, 2023

Clarifying what data mesh is and how it works is important, but even more so is starting with the why. Why Organizations Need A Data Mesh The data mesh paradigm aims to address some of the biggest pain points for most organizations. This becomes particularly problematic when dealing with veracity of data.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Alation

MARCH 31, 2023

Ehtisham Zaidi, Gartner’s VP of data management, and Robert Thanaraj, Gartner’s director of data management, gave an update on the fabric versus mesh debate in light of what they call the “active metadata era” we’re currently in. The foundations of successful data governance The state of data governance was also top of mind.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

erwin

OCTOBER 16, 2020

IDC defines data intelligence as business, technical, relational, and operational metadata that provides transparency of data profiles, classification, quality, location, context, and lineage, providing people, processes, and technology with trustworthy, reliable data.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

TDAN

MARCH 5, 2019

It seems like we’re so busy running that we no longer have time to think. We want to be faster and more responsive, but we aren’t even sure what we are trying to achieve. It’s like the person at your office that is always too busy, is working extra-long hours (and makes sure that everybody […].

Data Governance 53

Data Governance Enterprise Data Architecture IT 53

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

IBM Big Data Hub

JUNE 30, 2022

As ecosystems transformed over the last few years and simultaneously increased the opportunities to improve results driven by data, a few main contributing factors drove major change in how you should think about your data strategy: The reality of hybrid multicloud and its accelerated adoption has created new possibilities and challenges.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Alation

FEBRUARY 20, 2020

Since we launched the company, Alation has delivered a unique way to catalog data for the enterprise. to catalog enterprise data by observing analyst behaviors. Our approach was contrasted with the traditional manual wiki of notes and documentation and labeled as a modern data catalog. Can I trust this data?

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 79

Technology Data-driven Machine Learning Sales 79

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Collaborative Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

AWS Big Data

MARCH 10, 2023

Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. It enables ACID transactions on tables, allowing for concurrent data ingestion, updates, and queries, all while using familiar SQL. Data can be organized into three different zones, as shown in the following figure.

Data Lake 99

Data Lake Sales Data Warehouse Snapshot 99

Cloudera

AUGUST 21, 2020

To start off, what are the advantages of a forward-looking data-in-motion strategy? Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. In a financial services context, this could be trades or transactional data.

Enterprise 61

Enterprise Data Lake Strategy Metadata 61

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. This solution only replicates metadata in the Data Catalog, not the actual underlying data.

Data Architecture 64

Data Architecture Metadata Data Lake Snapshot 64

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Ontotext

JANUARY 10, 2024

The reason is that the inherent complexity of big enterprises is such that this is the simplest model that enables them to “connect the dots” across the different operational IT systems and turn the diversity of their business into a competitive advantage. This requires new tools and new systems, which results in diverse and siloed data.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Sisense

JULY 6, 2020

Employing Enterprise Data Management (EDM). What is enterprise data management? Companies looking to do more with data and insights need an effective EDM setup in place. The team in charge of your company’s EDM is focused on a set of processes, practices, and activities across the entire data lineage process.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

TDAN

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1.

Strategy 52

Strategy Enterprise Management Modeling 52

TDAN

JULY 5, 2022

As enterprises race to become data-driven businesses, a latent tension is intensifying: Is data the “new oil”? Whichever metaphor you would like to use, what is certain is that no organization will survive the twenty-first century without optimizing the use of its data assets. A “toxic asset”?

Data-driven 52

Data-driven Risk Optimization Enterprise 52

IBM Big Data Hub

JANUARY 17, 2023

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. The solution is a data fabric. Data governance.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 4: Enterprise grade. 1: Multi-function analytics . 3: Open Performance.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 88

Management Metadata Data Architecture Data Lake 88

CIO Business Intelligence

MARCH 6, 2024

Jurgen Mueller, SAP CTO and executive board member, called the innovations, which includes an expanded partnership with data governance specialist Collibra, a “quantum leap” in the company’s ability to help customers drive intelligent business transformation through data.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Alation

APRIL 14, 2022

However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

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

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. But increasingly at Cloudera, our clients are looking for a hybrid cloud architecture in order to manage compliance requirements.

Data Architecture 103

Data Architecture Metadata Digital Transformation Finance 103

Alation

JULY 7, 2022

With Alation, students learn the critical skills they need to curate, govern, and discover data assets in the data-driven enterprises of today. Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. For the uninitiated, metadata is “data about data” – and it’s everywhere.

Metadata 52

Metadata Data-driven Insurance Statistics 52

IBM Big Data Hub

SEPTEMBER 12, 2022

Enterprises are dealing with a barrage of upcoming regulations concerning data privacy and data protection, not only at the state and federal level in the US, but also in a dizzying number of jurisdictions around the world. Think of a data fabric as a single pane of glass that creates visibility across an enterprise.

Metadata 99

Metadata Data Governance Enterprise Data Architecture 99

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

JULY 28, 2022

As enterprises migrate to the cloud, two key questions emerge: What’s driving this change? And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? What Are the Biggest Drivers of Cloud Data Warehousing?

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Then, you transform this data into a concise format.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Jen Stirrup

MARCH 29, 2023

SAP helps to solve this search problem by offering ways to simplify business data with a solid data foundation that powers SAP Datasphere. It fits neatly with the renewed interest in data architecture, particularly data fabric architecture. They fail to get a grip on their data.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Data Virtualization

APRIL 2, 2020

With so much valuable data potentially available, it can be frustrating for organizations to discover that they can’t easily work with it because it’s stuck in disconnected silos. Limited data access is a problem when organizations need timely, complete views.

IT 59

IT Data Strategy Data Architecture Metadata 59

Alation

FEBRUARY 20, 2020

Unlike the data warehouses of the past, an enterprise data marketplace (EDM) doesn’t just store, process, or manage information by IT. Instead it gives anyone in your company who works with data, the ability to easily access, search, discover, share opinions, and collaborate on that data. Building the EDM.

Data Warehouse 52

Data Warehouse Metadata Data Lake Software 52

Andrew White

JANUARY 9, 2022

I would like to know if there are organizations to promote AI at the level of the Central Government and Small companies. But I would search on our web site for AI and mid-size enterprise; or ask Anthony Mullen who leads our AI research in our data and analytics team. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64