Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data Governance 109

Data Governance Data-driven Strategy Data Architecture 109

TDAN

FEBRUARY 16, 2021

While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. With the new year events well behind us, we’re steadily focused on moving forward in 2021.

Technology 145

Technology Optimization Management Data Architecture 145

CIO Business Intelligence

SEPTEMBER 14, 2023

While data engineers develop, test, and maintain data pipelines and data architectures, data scientists tease out insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

JULY 26, 2023

While the Denver-based company’s cloud transformation long preceded Ligon’s arrival, with various business units adopting AWS and the IT team already developing cloud-native applications, in hiring Ligon, Re/Max’s top brass decided to “bring it all under control” of its first CIO. minutes from the moment the property is listed.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

CIO Business Intelligence

JUNE 23, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data.

IT 97

IT Data Architecture Unstructured Data Big Data 97

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

APRIL 19, 2021

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. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

AWS Big Data

JULY 28, 2023

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. The term data mesh refers to a data architecture with decentralized data ownership.

Big Data 81

Big Data Data Architecture Data Lake Interactive 81

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 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 103

Data Lake Sales Data Warehouse Snapshot 103

CIO Business Intelligence

AUGUST 9, 2022

Data engineers and data scientists often work closely together but serve very different functions. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data engineer vs. data architect. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CDW Research Hub

JULY 22, 2019

These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake. Data migration and integration. Business intelligence. Development tools.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

AWS Big Data

APRIL 26, 2023

It helps engineers, analysts and businesses access the most up-to-date release of the software asset that bring accuracy to the decision-making process. By keeping track of this information, organizations will be able to identify technology gaps, refresh cycles, and expire assets as needed for archival.

Metadata 52

Metadata Dashboards Visualization Consulting 52

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

TDAN

OCTOBER 6, 2020

Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, Big Data, digital twins, and robotics, in their processes, products, and workflows. The industrial landscape is undergoing a digital transformation at a breakneck speed.

IoT 52

IoT Digital Transformation Manufacturing Data Processing 52

AWS Big Data

FEBRUARY 1, 2024

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well. Cognos UK Award and.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

AWS Big Data

NOVEMBER 9, 2023

Data ingestion, whether real time or batch, forms the basis of any effective data analysis, enabling organizations to gather information from diverse sources and use it for insightful decision-making. It’s raw, unprocessed data straight from the source.

Data Warehouse 105

Data Warehouse Testing Data Quality Reporting 105

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Statistics 97

Statistics Metrics Visualization Finance 97

TDAN

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

Internet of Things 98

Internet of Things IoT Machine Learning Data Processing 98

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 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

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

TDAN

OCTOBER 5, 2022

The current decade will see the most rapid technological advancements in history: emergence of new technology and faster development of existing technology. One of the technologies that is expected to grow is the Internet of Things (IoT).

IoT 52

IoT Internet of Things Statistics Technology 52

TDAN

JUNE 1, 2021

Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the world. There are countless benefits to this technology, including life-saving tools and systems that function with automated AI algorithms.

Technology 98

Technology IT Data Architecture Business Intelligence 98

TDAN

MAY 16, 2023

Procurement is an essential function within any organization, involving the acquisition of goods and services necessary for business operations. However, with the rise of digitalization and technology, procurement processes have become increasingly vulnerable to cyber threats.

Risk 52

Risk Technology Risk Management Data Architecture 52

TDAN

FEBRUARY 15, 2022

Most large technology businesses collect data from their consumers in a variety of methods, and the majority of the time, this data is in its raw form. However, when data is presented in an understandable and accessible style, it may assist and drive business requirements.

Technology 52

Technology IT Data Architecture Business Intelligence 52

TDAN

AUGUST 6, 2019

Deep learning is best demonstrated by the implementation of the technology in self-driving cars, as well as medical research to detect […]. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities.

Deep Learning 81

Deep Learning Technology Data Architecture Metadata 81

TDAN

DECEMBER 3, 2019

When it comes to marketing, business owners need to be fast in adjusting their strategies to fit the continuous advancement in technologies. Today, nearly everyone has a mobile phone or another smart mobile device with them at all times.

Marketing 64

Marketing Strategy Statistics Technology 64

CIO Business Intelligence

SEPTEMBER 20, 2023

And in charge of the group’s technological strategy and digitalization processes is global CIO Vanessa Escrivá. The personalization of services and products is going to be fundamental in the insurance sector,” she says, an aspect she’s spearheading, along with a commitment to data and AI. In the long run, it will come.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

TDAN

AUGUST 17, 2021

The increasing speed and pace of business certainly contributes to several data challenges (quality, timeliness, availability and, most important, usability of the data).

Data Architecture 105

Data Architecture Data Strategy Business Intelligence Big Data 105

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. He has more than 16 years of experience in different database and data warehousing technologies.

Data Lake 93

Data Lake Data Warehouse Metadata Data Architecture 93

CIO Business Intelligence

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure. Learn more at [link]. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

TDAN

APRIL 30, 2019

In 1961, Professor John McCarthy was the first to publicly suggest in a speech at the centennial celebration of the Massachusetts Institute of Technology that: “Computing may someday be organized as a public utility just as the telephone system is a public utility. Each subscriber needs to pay only for the capacity they use, but […].

Technology 40

Technology Data Architecture Business Intelligence Big Data 40

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85