AWS Big Data

NOVEMBER 16, 2023

In today’s data-driven world, organizations face unprecedented challenges in managing and extracting valuable insights from their ever-expanding data ecosystems. As the number of data assets and users grow, the traditional approaches to data management and governance are no longer sufficient.

Management 122

Management Data Lake Sales Machine Learning 122

CIO Business Intelligence

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data scientist. Data scientists are the core of any AI team.

Machine Learning 145

Machine Learning Data Science Metrics Consulting 145

CIO Business Intelligence

NOVEMBER 7, 2024

Caldas has established herself as a decisive, growth-oriented executive and innovative strategist with an impressive track record of leading large complex transformations and executing with real solutions. What’s your mindset when it comes to data? So, for us, it’s always offense and defense, in tandem. We’re modernizing our ecosystem.

Insurance 120

Insurance Experimentation Testing Technology 120

Alation

JUNE 17, 2021

We’re so proud to join this growing community of leaders in data, where we plan to deliver more value to our joint customers for years to come. Leading companies like Cisco, Nielsen, and Finnair turn to Alation + Snowflake for data governance and analytics. TXM has capitalized on our shared solution — and reaped the benefits.

Data Governance 98

Data Governance Data Lake Insurance Enterprise 98

Octopai

MARCH 23, 2022

Dirty Meat… and Dirty Data. But even though “dirty meat” is a small concern, “dirty data” is the scourge of any industry that relies heavily on information systems. While “dirty data” doesn’t sound as threatening as “dirty meat” (after all, it’s your computer ingesting it, not you), don’t be deceived. Cleaning Up Dirty Data.

Data Quality 98

Data Quality Reporting Modeling Interactive 98

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 118

Data-driven Advertising Metadata Data Architecture 118

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Instead, data quality rules promote awareness and trust.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

CIO Business Intelligence

JANUARY 14, 2025

Rethinking architecture as an ecosystem Instead of static blueprints that dictate every detail, modern architects steward an evolving ecosystem one where teams can continuously refine services, products, and platforms. This comprehensive model helps architects become true enablers of organizational success.

Enterprise 119

Enterprise Technology Metrics Measurement 119

Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Management 98

Management Data Warehouse Digital Transformation Dashboards 98

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow.

Key Performance Indicator 111

Key Performance Indicator Data Governance Metadata Data Quality 111

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

CIO Business Intelligence

AUGUST 19, 2024

IT already has a lot on its plate, which is why teams are leaning on AIOps solutions to provide new insights and help with monitoring and management solutions like predictive maintenance. The complexity of managing diverse workloads and data across a variety of environments has become daunting as organizations scale their efforts.

Enterprise 112

Enterprise IT ROI Management 112

AWS Big Data

AUGUST 13, 2024

Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs. Organizations can adopt different approaches when defining and structuring domains and domain units.

Data Governance 119

Data Governance Metadata Enterprise Sales 119

CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. A single source of data truth helps companies begin to leverage data as a strategic asset.

Modeling 98

Modeling Metadata Data Governance Visualization 98

CIO Business Intelligence

SEPTEMBER 16, 2022

The main areas fueling LCNC adoption are ease of use, ease of integration with existing solutions and technologies, and faster value creation. Enterprise IT solutions do not meet SMB needs : Up to 47% of SMBs think enterprises don’t understand the challenges they face and movement towards LCNC illustrates that point. Diana Bersohn.

Technology 115

Technology Modeling Enterprise Data-driven 115

erwin

OCTOBER 29, 2020

Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. The State of Data Automation. Data readiness depends on automation to create the data pipeline. We asked participants to “talk to us about data value chain bottlenecks.”

Data Governance 105

Data Governance Metadata Digital Transformation ROI 105

CIO Business Intelligence

JANUARY 23, 2023

Today, Jonnala also commands much of the traditional COO portfolio — an expanded set of responsibilities that work given his track record of understanding business needs and translating them into high-impact digital solutions.

Digital Transformation 145

Digital Transformation Technology Management Insurance 145

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. The clear benefit is that data stewards spend less time building and populating the data governance framework and more time realizing value and ROI from it.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

CIO Business Intelligence

DECEMBER 11, 2023

It will strengthen and improve the veracity of financial data, and, most importantly, it will help CFOs take a more active role in value creation. Going even further, some of the most progressive finance teams are incorporating sensor-based IoT data from plants, factories, and even trucking fleets to prioritize capital expenditures.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

AWS Big Data

SEPTEMBER 11, 2024

HPE Aruba Networking is the industry leader in wired, wireless, and network security solutions. Hewlett-Packard acquired Aruba Networks in 2015, making it a wireless networking subsidiary with a wide range of next-generation network access solutions. The following diagram illustrates the solution architecture.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

Octopai

OCTOBER 5, 2021

Your CFO finally gave the okay to purchase data catalog software. How will you choose the best data catalog software for your company? Lest the proliferation of data catalog features and options leave you groping for someone’s leftover margarita, here’s a guide with the questions to ask to cut through the overwhelm and reach clarity.

Business Intelligence 98

Business Intelligence Software Cost-Benefit Metadata 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities. Introduction.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Octopai

NOVEMBER 13, 2022

The modern data stack is a data management system built out of cloud-based data systems. A given modern data stack will usually include components for data ingestion from your data sources, data transformation, data storage, data analysis and reporting.

Enterprise 97

Enterprise Data Warehouse Reporting Metadata 97

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 98

Data Lake Metadata Data Processing Big Data 98

AWS Big Data

NOVEMBER 20, 2024

With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. By making it mandatory for data consumers to provide specific metadata, domain owners can achieve compliance, meet organizational standards, and support audit and reporting needs.

Metadata 96

Metadata Data Governance Metrics Marketing 96

AWS Big Data

AUGUST 8, 2024

Today’s data lakes are expanding across lines of business operating in diverse landscapes and using various engines to process and analyze data. Traditionally, SQL views have been used to define and share filtered data sets that meet the requirements of these lines of business for easier consumption.

Data Lake 120

Data Lake Sales Marketing Big Data 120

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems.

Dashboards 124

Dashboards Publishing Data-driven Cost-Benefit 124

CIO Business Intelligence

JUNE 20, 2023

For instance, Dell Technologies, a committed steward of sustainability, has worked to decrease energy intensity across its entire portfolio, achieving a 76% reduction since 2013. The result s include 18X faster data backups, 72% less power, and a reduction of 60 tons of CO 2 per year. IT Leadership

Optimization 105

Optimization Data-driven Technology Measurement 105

Ontotext

OCTOBER 19, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. AI-based tools will support patients and data stewards during the curation process. AIDAVA starts with AI – what is the role of AI in this project?

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

Octopai

AUGUST 9, 2021

What is a Data Catalog? A data catalog is a marketplace that organizes all the data assets in a company’s information landscape. Practical Uses and Benefits of a Data Catalog. Practical Uses and Benefits of a Data Catalog. Common self-service uses of a data catalog include: . Data discovery and evaluation.

Metadata 80

Metadata Reporting Sales Data-driven 80

Alation

NOVEMBER 16, 2021

Data Governance is growing essential. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. Hence, they are pursuing cloud transformation to help manage growth in data and cost. Meanwhile, data scientists and analysts need access to data.

Data Governance 52

Data Governance Insurance Risk Data-driven 52

AWS Big Data

APRIL 2, 2024

In March 2024, we announced the general availability of the generative artificial intelligence (AI) generated data descriptions in Amazon DataZone. In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability.

Metadata 111

Metadata Metrics Data-driven Contextual Data 111

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. However, building a C360 solution can be complicated. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 100

Data Strategy Strategy Data Warehouse Prescriptive Analytics 100

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework. Data Governance Roles.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

AWS Big Data

JUNE 26, 2023

In today’s digital world, data is generated by a large number of disparate sources and growing at an exponential rate. Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. It’s commonly referred to as a data harmonization or deduplication problem.

Insurance 98

Insurance Visualization Data Lake Metrics 98