Cloudera

JANUARY 7, 2025

Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. Role of a True Hybrid Platform A well-integrated hybrid platform is essential for seamless data movement, governance, and workload management across environments.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

AWS Big Data

DECEMBER 17, 2024

Additionally, we have rolled out AWS Graviton in Serverless, offering up to 30% better price-performance, and expanded concurrency scaling to support more types of write queries, enabling an even greater ability to maintain consistent performance at scale. We have launched new RA3.large large instances.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

DataKitchen

AUGUST 3, 2021

Centralized enterprise data architectures are not built to support Agile development. This is much easier to do when the data team has intimate knowledge of the data being consumed and how it applies to specific business use cases. Also, the domain must support the attributes that are part of every modern data architecture.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs. Security issues.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

datapine

DECEMBER 11, 2019

It’s also popular amongst businesses for its simplicity and user accessibility, security, and the widespread connectivity that serves to streamline business models, resulting in maximum efficiency across the board. This means that your business’s data is available and secure regardless of a data breach or system failure.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

DataKitchen

NOVEMBER 4, 2021

The term process hub is new to most people, so let’s look at a concrete example of how a process hub is used in a real-world application. The bottom line is how to attain analytic agility? A slow, un-agile approach to supporting commercial pharma analytics means that the team must do data work manually.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

datapine

FEBRUARY 22, 2022

4) How To Create A Business Intelligence Strategy. It should be sponsored by an executive who has bottom-line responsibility, a broad picture of the organization’s strategy and goals, and knows how to translate the company mission into mission-focused KPIs. Think of security, privacy, and compliance. Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

AWS Big Data

MARCH 6, 2025

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. In this solution, we use the Redshift Data API, which offers a simple and secure HTTP-based connection to Amazon Redshift, eliminating the need for JDBC or ODBC driver-based connections.

Visualization 102

Visualization Sales Data Warehouse Management 102

Smart Data Collective

JULY 7, 2022

This could help address some of the issues that have made it difficult for regulators to support legalization. The IMF has recently indicated that it might support bitcoin. This newfound support likely wouldn’t have arisen without new advantages brought on by AI technology.

Cost-Benefit 126

Cost-Benefit Finance Risk Technology 126

erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated. Discover risks.

Data Governance 144

Data Governance Metadata Risk Strategy 144

O'Reilly on Data

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

Enterprise 339

Enterprise Modeling Testing Reporting 339

CIO Business Intelligence

JUNE 28, 2023

The fully managed AppFabric offering, which has been made generally available, is designed to help enterprises maintain SaaS application interoperability without having to develop connectors or workflows in-house while offering added security features, said Federico Torreti, the head of product for AppFabric.

Enterprise 136

Enterprise Machine Learning Metrics Modeling 136

erwin

NOVEMBER 28, 2019

IT has graduated from a support department to a proactive, value-driving function. An organization can better identify gaps in its current architecture to better understand how to reach the desired future-state objectives and architecture. For example, cases have been made for enterprise architects taking a seat at the security table.

Enterprise 145

Enterprise Data-driven Data Governance Metadata 145

Cloudera

AUGUST 30, 2022

This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Cloudera refers to this as universal data distribution, as explored further in this blog post. Providers should also examine the data governance approach required to manage the chosen environments adequately.

Strategy 107

Strategy Data Strategy Cost-Benefit ROI 107

Cloudera

APRIL 2, 2024

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. FedRAMP requires that we meet strict security standards to protect government data.

Metadata 101

Metadata Measurement Management Enterprise 101

Cloudera

NOVEMBER 19, 2020

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Modernization has been a boon to government. Some experts estimate the U.S.

Machine Learning 119

Machine Learning Data-driven Modeling Deep Learning 119

DataKitchen

JANUARY 5, 2021

Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance. Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis. Security vault providing access to tools. Tools affect their risk tolerance.

Testing 147

Testing Data Governance Metadata Visualization 147

CIO Business Intelligence

MAY 21, 2024

As more IT executives need teams to find issues spanning security, code, and operational domains, the ability to understand dependencies across these vast data lakes is becoming mission critical,” Elliot explained. IBM has not clarified how an enterprise can subscribe to the offering and how to access it.

Enterprise 110

Enterprise Management Data Lake Risk 110

Smart Data Collective

FEBRUARY 20, 2022

Cloud computing platform AWS, which is owned by American giant Amazon.com, provides APIs and computing platforms on a metered pay-as-you-go basis, for individuals, companies, and governments. With the advancement of technology and more people accessing the internet, data security has become increasingly important. Development tools.

Cost-Benefit 138

Cost-Benefit Data Lake Software Machine Learning 138

DataKitchen

SEPTEMBER 20, 2021

If you have any doubt on how to get started, Production DataOps is an excellent choice because here DataOps can be implemented by a small team with no change to existing processes. The other 78% of their time is devoted to managing errors, manually executing production pipelines and other supporting activities. production).

Testing 246

Testing Metrics Measurement Dashboards 246

DataRobot

JANUARY 20, 2022

The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. The following is a summary list of the key data-related priorities facing ICSs during 2022 and how we believe the combined Snowflake & DataRobot AI Cloud Platform stack can empower the ICS teams to deliver on these priorities.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Smart Data Collective

NOVEMBER 20, 2022

However, many companies still don’t know how to choose them. Support and Uptime. Your data center should be available to provide your company with quick and efficient support. A Service Level Agreement is typically used to govern this. Security is also an essential consideration for data centers.

Big Data 122

Big Data Advertising Marketing Technology 122

AWS Big Data

SEPTEMBER 16, 2024

At the launch of the project in April of 2021, in introducing OpenSearch , we spoke of our desire to “ensure users continue to have a secure, high-quality, fully open source search and analytics suite with a rich roadmap of new and innovative functionality.” Ultimately, that’s going to come to the service and benefit our AWS customers.

Management 128

Management Cost-Benefit Software Machine Learning 128

Cloudera

SEPTEMBER 14, 2020

When adopting cloud data management, there are some fundamental principles we need to embrace to be successful, or we risk security gaps, failure to maintain regulatory compliance or unexpected cost overruns. Using a single data context, well-governed, ensures we have the best quality data available to all users at once. .

Management 111

Management Cost-Benefit Manufacturing Machine Learning 111

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. CDP Private Cloud Base offers 3 levels of security that implement these features. Non-secure.

Data Processing 112

Data Processing Management Cost-Benefit Finance 112

Cloudera

DECEMBER 20, 2021

But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Retrofitting existing solutions to ever-changing policy and security demands is one option. It also supports advanced analytics and real-time streaming. . Telkomsel: Improved decision-making.

Metadata 91

Metadata Data-driven Cost-Benefit Digital Transformation 91

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Are the Key Benefits of Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

CIO Business Intelligence

AUGUST 8, 2024

IT teams benefit from the sprawling, dynamic support communities that surround major open source projects. But there’s good news: When organizations leverage open source in a deliberate, responsible way, they can take full advantage of the benefits that open source offers while minimizing the security risks.

Software 126

Software Enterprise Cost-Benefit Risk 126

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Data could inform subtle improvements, like the shade of a button on the website, or how to influence a customer’s buying process on an e-commerce site. . Risk Management.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance Cost-Benefit IT Risk 109

Cloudera

AUGUST 17, 2021

DE, DW, and ML practitioners that want to orchestrate multi-step data pipelines in the cloud, using a combination of Spark and Hive, can now generate curated datasets for use by downstream applications efficiently and securely. The post Automating Data Pipelines in CDP with CDE Managed Airflow Service appeared first on Cloudera Blog.

Management 115

Management Cost-Benefit Data Transformation Optimization 115

Cloudera

JULY 15, 2021

This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Private Cloud Base Overview. Summary of major changes.

Data Processing 102

Data Processing Metadata Testing Management 102

Cloudera

AUGUST 11, 2021

Different vendors offered security options (there was an anti-virus app, a home network security app, and endpoint protection software); now, it all comes bundled as one solution in each vendor’s package. 1: Support from the Top. Business executives are some of the biggest platform supporters. Reason No. Reason No.

Enterprise 121

Enterprise Software Big Data Strategy 121