IBM Big Data Hub

DECEMBER 1, 2023

Foundation models are becoming an essential ingredient of new AI-based workflows, and IBM Watson® products have been using foundation models since 2020. Leading insurers in all geographies are implementing IBM’s data architectures and automation software on cloud. Sign up for a free trial to put watsonx.ai

Insurance 99

Insurance Digital Transformation Unstructured Data Risk 99

Cloudera

MAY 2, 2022

Like its predecessor, the GDPR maintained restrictions on transfers of personal data outside the EU and standards to handle exceptions for such cross-border transfers (for example, the EU-US Privacy Shield framework for personal data transfers to the US).

Data Architecture 101

Data Architecture Metadata Digital Transformation Finance 101

Cloudera

NOVEMBER 17, 2022

In 2021, HBLs customers digitally carried out over 330 Mn financial transactions valued at PKR 7 Tn) in payments, a growth of 30% over 2020. We needed a solution to manage our data at scale, to provide greater experiences to our customers. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited.

Management 84

Management Data Lake Consulting Unstructured Data 84

Cloudera

JULY 20, 2021

Most businesses, whether you are in Retail, Manufacturing, Specialty Chemicals, Telecommunications, consider a 10% market capitalization increase from 2020 to 2021 outstanding. Build your data strategy around relevant data, not last years data because it’s easy to access. Airline schedules and pricing algorithms.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

erwin

JULY 9, 2020

Enterprise architects who add enterprise architecture certifications to their resume also report higher earnings. In Glassdoor’s 25 Best Jobs in the UK for 2020 report , enterprise architect came out on top. The Difference Between Enterprise Architecture and Technical Architecture.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 85

Data Processing IoT Cost-Benefit Digital Transformation 85

AWS Big Data

AUGUST 31, 2023

You can download the files and then use Athena to convert the Parquet dataset into an Iceberg table, or refer to Build an Apache Iceberg data lake using Amazon Athena, Amazon EMR, and AWS Glue blog post to create the Iceberg table. In this post, we use Athena to convert the data.

Data Lake 95

Data Lake Data Warehouse Metadata Data Architecture 95

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 74

Data Lake Measurement Visualization Data Architecture 74

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 83

Metrics Data Quality Data Lake Statistics 83

erwin

JUNE 25, 2020

The Difference Between Technical Architecture and Enterprise Architecture. We previously have discussed the difference between data architecture and EA plus the difference between solutions architecture and EA. This 2020 Forrester Report on EAMS is a great place to start your research.

Enterprise 144

Enterprise Data Architecture Data-driven Cost-Benefit 144

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 94

Enterprise Data Architecture Strategy Data Governance 94

Cloudera

JANUARY 17, 2021

Most blogs in my history are very focused on Industry 4.0’s Before 2020 roughly 5% of the work days were spent at home, while by November 2020 that figure climbed to 50%. Print sales in the United States enjoyed robust sales in the first six months of 2020. The Need for a Modern Data Architecture.

Digital Transformation 65

Digital Transformation Cost-Benefit Manufacturing Sales 65

Cloudera

OCTOBER 1, 2022

Thinking back to the conversations I had in late 2019, early 2020, most of the mainstream organizations I was talking to, meaning not the Facebooks and the Googles of the world, had very similar machine learning and AI journeys. – Adam Wood, director of data governance and data quality at a financial services institution.

Data Governance 73

Data Governance Strategy Enterprise Machine Learning 73

IBM Big Data Hub

JUNE 30, 2022

But not all data is best suited for the cloud. While the share of IT spend dedicated to public cloud is expected to decline by 4% between 2020 and 2023, hybrid and multicloud spend is expected to increase up to 17%. To learn more about our IBM data and analytics solutions, visit our Data and AI-Driven Analytics page.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

erwin

JULY 12, 2019

equivalent of GDPR] will not become effective until 2020, we believe that new developments in GDPR enforcement may influence the regulatory framework of the still fluid CCPA.”. With all the advance notice and significant chatter for GDPR/CCPA, why aren’t organizations more prepared to deal with data regulations?

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

JANUARY 9, 2020

From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source. Building a more agile and governable data architecture: Create and implement common data design standards from the start. erwin Data Modeler: Where the Magic Happens.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

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 billion in 2020? 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

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Data Engineering should not be limited by one cloud vendor or data locality. For part 1 please go here.

Testing 112

Testing Data-driven Data Warehouse Enterprise 112

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. Any talk about graphs owes a mention of a blog piece by Tim Berners Lee’s blog called Giant Global Graph (archived).

Technology 75

Technology Enterprise Data Integration Management 75

erwin

SEPTEMBER 17, 2020

The importance of end-to-end data lineage is widely understood and ignoring it is risky business. With complex data architectures and systems within so many organizations, tracking data in motion and data at rest is daunting to say the least. Benjamin Franklin said, “Lost time is never found again.”

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

IBM Big Data Hub

JUNE 23, 2023

Foundation models are becoming an essential ingredient of new AI-based workflows, and IBM Watson products have been using foundation models since 2020. In the top five European insurance markets, McKinsey analysis indicates investment yields in the 2018 to 2020 period varied by country, ranging from 2-5%.

Insurance 57

Insurance Cost-Benefit Digital Transformation Marketing 57

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

IT 87

IT Data Warehouse Dashboards Visualization 87

Alation

FEBRUARY 13, 2020

The Alation Data Catalog is taking years of data lake and self-service analytics investments and driving them from investments to insights. 451 Research’s Matt Aslett has gone so far as to ask whether the data catalog could be “ the most important breakthrough in analytics to have emerged in the last decade.”

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. Any talk about graphs owes a mention of a blog piece by Tim Berners Lee’s blog called Giant Global Graph (archived).

Technology 40

Technology Data Integration Enterprise Structured Data 40

Alation

OCTOBER 12, 2021

Data leaders cite an analytics strategy as a key driver for success. According to SAS Insights , enterprises need a data analytics strategy to: Develop a big-picture view of an organization’s data landscape (which can help reduce processing and storage costs). Set expectations for usage based on role and data source.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

TDAN

AUGUST 6, 2019

According to Forbes, 83% of enterprise workloads will be in the cloud by 2020. In the wake of online security threats, more and more companies are turning to cloud computing in search of better protection. However, it isn’t only big companies and enterprises that are the subjects of cybersecurity breaches.

Enterprise 45

Enterprise Data Architecture IT Data Strategy 45

Alation

JULY 30, 2021

As Tom Davenport argues in Analytics at Work, “You can’t be really good at analytics without really good data.” (23). Given that good and trustworthy data is the goal, the technical problem emerges: how do you implement data governance so data is ready for analysis? Subscribe to Alation's Blog.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

Andrew White

JANUARY 9, 2022

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. Can you remind where we can find the mentioned blog? Can you provide a link to your blog, or will we get notice of your info posted through email? This was from 2020.

Analytics 64

Analytics Measurement Modeling Data-driven 64