CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

AWS Big Data

APRIL 28, 2023

The third post will show how end-users can consume data from their tool of choice, without compromising data governance. When building a scalable data architecture on AWS, giving autonomy and ownership to the data domains are crucial for the success of the platform.

Data Governance 67

Data Governance Management Data-driven Data Lake 67

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 94

Strategy Data Architecture Cost-Benefit Reporting 94

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 85

Data Lake Data Governance Data Architecture Machine Learning 85

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 306

IT Data Architecture Big Data Data Processing 306

BI-Survey

AUGUST 21, 2020

The data landscape and the data integration tasks to be solved are often too complex. Leaders rely less on data mart deployment than on lean, flexible architectures and usable data based on cloud services, a complementary data lake, data governance, data hubs and data catalogs.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 84

Cost-Benefit Data Architecture Risk IoT 84

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

Management 100

Management Big Data Metadata Data Warehouse 100

IBM Big Data Hub

JUNE 30, 2022

The right data strategy and architecture allows users to access different types of data in different places — on-premises, on any public cloud or at the edge — in a self-service manner. Learn more about how to design and implement a data strategy that takes advantage of a hybrid multicloud landscape.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

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 86

Technology Data-driven Machine Learning Sales 86

Octopai

JULY 9, 2020

Your Guide to Machine Learning Data Lineage for BI: From Source to Target. Too often, data lineage is considered a linear course that does little more than reveal the route data took to arrive at its final destination. It required banks to develop a data architecture that could support risk-management tools.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Alation

JULY 30, 2021

2: Biz Problem – Making Data Ready for Business Analysis. Good, trusted data is no accident; data governance is a crucial prerequisite. As Tom Davenport argues in Analytics at Work, “You can’t be really good at analytics without really good data.” (23). Clean it up before or as part of switching and moving.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Ontotext

JANUARY 10, 2024

Maintaining integrity and leveraging complexity As global businesses have to analyze data across different systems, they need a holistic view that allows them to perform deeper analysis and get richer insights. Of course, a lot of metadata is already available and we must learn to use it.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Octopai

APRIL 19, 2021

BI teams will have a better handle on their data’s history, its current status, and any changes it may have undergone. Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. Empower real-time decision making and perform heavy computational analysis with built-in ML, insanely fast ingest, and querying of data in motion and at rest. Data security & governance .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

AWS Big Data

NOVEMBER 13, 2023

He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. KEY003 | Swami Sivasubramanian (Vice President, Data and AI at AWS) | Nov.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

Cloudera

OCTOBER 1, 2022

As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. These companies face a unique set of data governance challenges regarding infrastructure and compliance on local, national, and international levels. Listen to the full podcast episode here. “It

Data Governance 72

Data Governance Strategy Enterprise Machine Learning 72

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

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. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 83

Data Lake Data Governance Cost-Benefit Machine Learning 83

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture 82

Data Architecture Cost-Benefit Digital Transformation Business Driver 82

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

AWS Big Data

APRIL 19, 2023

We needed to be able to write or load data into our data storage solution very quickly without interfering with the reading and querying of the data at the same time.” Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

AWS Big Data

MARCH 27, 2023

Data producers can use the data mesh platform to create datasets and share them across business teams to ensure data availability, reliability, and interoperability across functions and data subject areas.

Data Lake 88

Data Lake Data-driven Management Data Architecture 88

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. Best practice has evolved in this area.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

BI-Survey

FEBRUARY 6, 2020

Today’s data-literate users want governed and scalable self-service BI functions to answer critical business questions and to get the most out of their data assets. Most prominently, machine learning (ML) enables improvements in various fields. Linking data to business metadata is crucial for data governance.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

AWS Big Data

MAY 17, 2023

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). Wang points out that Redshift Serverless also allows him to spin up Amazon Redshift data warehouses to handle special usage patterns.

Data Warehouse 116

Data Warehouse Cost-Benefit Sales Data-driven 116

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. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

Cloudera

JULY 29, 2022

The report has uncovered customer centricity to be the key priority for both telco and FSI organizations when it comes to using data. Telecom operators can gain a competitive advantage by leveraging the massive volume of data generated on their networks. The telco industry has also increased its spend by 48% on similar initiatives. .

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Thanks to all of these for their help. Application Programming Interface (API).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. Data comes in many forms. Let’s dive deeper.

Data Architecture 86

Data Architecture Data Governance Unstructured Data Structured Data 86

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? You must make sure you identify the right data for critical outcomes and make sure it is available and fit for purpose.

ROI 52

ROI Measurement Data-driven Data Transformation 52

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 107

Data Architecture Data Integration IoT Strategy 107

Alation

APRIL 14, 2022

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. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59