DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

Alation

MARCH 1, 2023

To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What is your data strategy and how did you begin to implement it? Here’s a recap of our discussion.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

IBM Big Data Hub

JUNE 18, 2019

In my last blog , I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise , fully harness data using the latest technologies, and sustain a

Data Strategy 86

Data Strategy Strategy Data Architecture Enterprise 86

Cloudera

APRIL 11, 2024

I thrive on challenges and I’m empowered in partner marketing to develop new strategies to deliver optimal results. By bringing together various partners, we provide comprehensive solutions that address specific use cases and modernize data architecture. What excites you about working with Cloudera’s partner ecosystem?

Data Architecture 91

Data Architecture Marketing Strategy Sales 91

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges.

Data Architecture 94

Data Architecture Strategy Data Lake Data-driven 94

Cloudera

JUNE 6, 2024

While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data. Trusted Data is the Foundation of AI According to a Cloudera survey, Data Architecture and Strategy in the AI Era , 57% of APAC organizations are at least early-stage adopters of AI.

Contextual Data 75

Contextual Data Data Lake Data-driven Risk 75

Cloudera

DECEMBER 1, 2023

One notable example of a government initiative that has shaped the AI landscape is the United States’ federal AI strategy. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. This strategy has spurred a wave of AI innovation within the public sector.

Data Governance 109

Data Governance Data-driven Strategy Data Architecture 109

CIO Business Intelligence

NOVEMBER 21, 2022

We hear that constantly and it is an accurate description of the value that data provides for the successful operation of a business. Put simply, organizations with “better” data management and use it more effectively, win in the market. This blog summarizes a recent podcast that featured Graeme Thompson, CIO of Informatica.

Data Architecture 122

Data Architecture Management Strategy Marketing 122

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 112

IT Data Architecture Unstructured Data Big Data 112

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). Data is the lifeblood of modern business, the fuel that powers digital transformation, and every company should have a data strategy.

IT 78

IT Data Strategy ROI Data-driven 78

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

Cloudera

SEPTEMBER 26, 2023

Learn more about how you can benefit from a well-supported data management platform and ecosystem of products, services and support by visiting the IBM and Cloudera partnership page. The post IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka appeared first on Cloudera Blog.

Technology 95

Technology IT Data-driven Data Architecture 95

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

Cloudera

MARCH 17, 2023

Align everything to corporate strategy I lead data and analytics at Cloudera. We’re called Cloudera Data Analytics (CDA). Prior to forming the group, it was imperative to understand Cloudera’s corporate strategy: corporate objectives, product strategy, go-to-market strategy, key metrics and KPI.

KPI 80

KPI Strategy Data Architecture Metrics 80

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 5, 2023

Data contains valuable insights for critical business decision-making, and the most innovative and successful organizations recognize data as a strategic resource that demands its own strategy. How this strategy looks depends on the organization’s unique business needs as one affects the other.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

erwin

SEPTEMBER 13, 2022

Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

Cloudera

JANUARY 30, 2024

While AI stands to drive smart intelligent factories, optimize production processes, enable predictive maintenance and pattern analysis, personalization, sentiment analysis, knowledge management, as well as detect abnormalities, and many other use cases, without a robust data management strategy, the road to effective AI is an uphill battle.

Manufacturing 81

Manufacturing Contextual Data IoT Digital Transformation 81

Cloudera

NOVEMBER 1, 2022

But the public sector has unique challenges with a wholesale migration of data to the public cloud, most exemplified in the shift from cloud first to a cloud smart approach in the Federal Cloud Computing Strategy. The post When Private Cloud is the Right Fit for Public Sector Missions appeared first on Cloudera Blog.

Cost-Benefit 89

Cost-Benefit Data Architecture Risk IoT 89

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

Data Governance 76

Data Governance Business Objectives Data Quality Strategy 76

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Cloudera

APRIL 19, 2023

Shifting to a data-driven culture To fully realize the value of their data, financial services firms must create a data-driven culture that prioritizes the use of data in decision-making and innovation. The post Discovering Data Monetization Opportunities in Financial Services appeared first on Cloudera Blog.

Data-driven 70

Data-driven Data Architecture Measurement Risk 70

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

IBM Big Data Hub

OCTOBER 16, 2023

McKinsey notes that reinforcement learning transcends human biases and has the potential to yield “previously unimagined solutions and strategies that even seasoned practitioners might never have considered.” At IBM Consulting, we have been helping clients set up an evaluation process for bias and other areas.

Advertising 68

Advertising Machine Learning Data Architecture Cost-Benefit 68

IBM Big Data Hub

NOVEMBER 14, 2022

Being a data-driven organization goes well beyond building a modern data architecture. For CDOs and other leaders within different lines of business, this means fostering a culture that prioritizes data literacy : the ability to read, understand, create and communicate data.

Data-driven 52

Data-driven Visualization Data Architecture Strategy 52

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Management Strategy Data Lake 75

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post. The company’s collaboration with Lovelytics is focused on baseball.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

IBM Big Data Hub

FEBRUARY 2, 2023

This approach has several benefits, such as streamlined migration of data from on-premises to the cloud, reduced query tuning requirements and continuity in SRE tooling, automations, and personnel. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Alation

APRIL 19, 2021

With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing? Alation & Global Data Strategy). Creating A Cloud Migration Strategy.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

BizAcuity

MAY 24, 2022

Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. When adopting a cloud strategy, at the beginning, sky’s the limit. Microsoft’s blog paints quite the picture about this issue.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

DataKitchen

DECEMBER 20, 2020

The DataOps Engineering skillset includes hybrid and cloud platforms, orchestration, data architecture, data integration, data transformation, CI/CD, real-time messaging, and containers. The capabilities unlocked by DataOps impacts everyone that uses data analytics — all the way to the top levels of the organization.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

DataKitchen

JUNE 12, 2023

Automatically tracking the Customer Journey helps to inform marketing strategy and personalization efforts, improves onboarding, giving a clearer understanding of who your customers are and how the company serves them best. Data tools will continue to evolve, and as-built systems will continue to run.

Testing 130

Testing Data Lake Dashboards Data Science 130

Cloudera

JANUARY 26, 2022

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms.

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

IBM Big Data Hub

AUGUST 24, 2022

For customers looking to modernize and migrate legacy data integration tools to the cloud, IBM offers rich comprehensive tools that help customers understand their data landscape and how to migrate. IBM also offers modernization workshops to assist customers with evaluating and re-designing their data architecture.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79