IBM Big Data Hub

JANUARY 24, 2024

With the seismic shift wrought by generative AI, the pressure is on IT to modernize and optimize to meet the demand. Modern designs and advanced technologies have enabled data centers to significantly reduce energy consumption and cooling requirements, both of which can help lower energy costs and the environmental impact.

Strategy 66

Strategy Data Processing Optimization Software 66

CIO Business Intelligence

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Just as a balanced diet fortifies the body, a robust and modern IT infrastructure lays the groundwork for AI and other advanced technologies to flourish.”

IT 143

IT Metadata Data-driven Management 143

datapine

AUGUST 19, 2020

At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value. Explore our modern reporting software for 14 days, completely free! In the matter, data analysis and dashboard designer software is a precious ally.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

Cloudera

OCTOBER 26, 2020

Provided new data is automatically classified and tagged, the right data access rules can be applied based on that data’s characterization. Attribute or tag-based data access (ABAC) policies ensure the same data can be presented to different users or groups in the appropriate format: as-is, obfuscated, or hidden.

IT 116

IT Unstructured Data Data-driven Data Governance 116

AWS Big Data

JUNE 27, 2023

Modernized analytics and reporting At iostudio, we faced the challenge of modernizing our government client’s static recruitment marketing analytics solution. Because we used QuickSight anonymous embedding APIs, we were able to do this without registering and managing all our users in QuickSight.

Metrics 97

Metrics Dashboards Interactive Visualization 97

CIO Business Intelligence

MAY 23, 2023

Utilize the srcset attribute in your image tags to allow browsers to choose the best image size and format based on the user’s device and connection. To do this: Place marketing scripts at the end of the body tag or make them asynchronous, reducing the initial load time. Infrastructure Management

IT 98

IT Testing Optimization Measurement 98

CIO Business Intelligence

SEPTEMBER 29, 2023

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

CIO Business Intelligence

JUNE 6, 2023

This model considers hidden costs not included in the price tag, like risk, implementation costs, infrastructure costs, security costs, organizational changes, vendor lock-in, and the cost of doing nothing at all. Data Management Value is all about the cost/benefit analysis. It’s a balancing act. Learn more about CDP.

Optimization 52

Optimization Cost-Benefit ROI Data-driven 52

AWS Big Data

MAY 25, 2023

Picture a scenario where you, the VP of Data and Analytics, are in charge of your data and analytics environments and workloads running on AWS where you manage a team of data engineers and analysts. You can simply tag that job with the key/value of remediate and false. For more information on job tagging, refer to AWS tags in AWS Glue.

Reporting 69

Reporting Metrics Optimization Data Lake 69

erwin

JUNE 26, 2020

legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). You also can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. This brief definition makes several points about data catalogs—data management, searching, data inventory, and data evaluation—but all depend on the central capability to provide a collection of metadata. What is a Data Catalog? Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Jet Global

APRIL 2, 2019

But business intelligence software , built to give businesses the opportunity to collect, unify, sort, tag, analyze, and report on the vast amounts of data at their disposal, must be a focus for businesses hoping to gain an AI advantage down the road. How should data be tagged, sorted, grouped, and analyzed? It All Starts with Data.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

Cloudera

DECEMBER 21, 2020

The data is tagged as sensitive data, e.g. “financial”, and the owner field showing “retail banking” instantly informs Shaun which organization to reach out to to ask for access. For each table, she first views the lineage, to understand which source data is entailed and takes a quick look at the classifications and tags. .

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management. Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. It required banks to develop a data architecture that could support risk-management tools.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. For Glue version , choose Glue 4.0

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

Smart Data Collective

JULY 1, 2023

Panoramic images are significantly changing the direction of modern art. It involves human annotators using a tool to label images or tag relevant information. Image Annotations Are the Latest Breakthrough in AI Digital Media AI technology has significantly changed the way that we create and manage digital media.

Metrics 62

Metrics Machine Learning Uncertainty Deep Learning 62

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. technologies. technologies. Rethinking the Data Lifecycle. Avoiding Complexity.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

Cloudera

JUNE 15, 2021

config/cloudera-deploy/profiles/default ), you can then specify a public/private keypair if required and your CDP licence file, plus a default password for Cloudera Manager: admin_password: "MySuperSecretPassword1!". mgmt: name: Cloudera Management Service. In this file ( ~/.config/cloudera-deploy/profiles/default license_file: "~/.cdp/my_cloudera_license_2021.txt".

Data Processing 81

Data Processing Management Interactive Risk 81

IBM Big Data Hub

OCTOBER 16, 2023

Going beyond email app “rules,” ML tools can also automate email management by classifying emails to route them to the right people for faster action, moving attachments to the right place, and more. Then, it suggests the social media user tag that individual. “That’s an amazing timeline.”

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Cloudera

SEPTEMBER 28, 2020

Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors. Cluster management and replication support for Kafka clusters. Upgrade Cloudera Manager to 7.1.2

Testing 130

Testing Metadata Risk Data Science 130

Alation

MARCH 29, 2023

They help our customers architect their modern data stack , tying in Snowflake or Fivetran where they’re needed, for example. They need to manage technology more fluidly. Public entities stand to gain a range of benefits by modernizing their data landscapes. But they had no clue how to access or manage it all.

Data Strategy 52

Data Strategy Strategy Data Governance Sales 52

erwin

DECEMBER 12, 2019

So most early-stage data governance managers kick off a series of projects to profile data, make inferences about data element structure and format, and store the presumptive metadata in some metadata repository. Managing metadata should not be a sub-goal of data governance. What Is Metadata? by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

AWS Big Data

MARCH 10, 2023

Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. Table formats like Apache Iceberg provide solutions to these issues.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

IBM Big Data Hub

FEBRUARY 14, 2024

Clarify computer vision AI-powered computer vision enables image segmentation , which has a wide variety of use cases, including aiding diagnosis in medical imaging, automating locomotion for robotics and self-driving cars, identifying objects of interest in satellite images and photo tagging in social media.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Alation

FEBRUARY 20, 2020

Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository. According to Gartner, across all vendors, the key business benefits to metadata management now include: Facilitating collaboration around data.

Metadata 52

Metadata Management Data-driven Data Governance 52

Cloudera

DECEMBER 7, 2020

Marketing Attribution & Spend Effectiveness —Tag interactions that drive desired behaviors while evaluating media spend to allocate dollars to most productive efforts. In addition, the modernization program (anchored by Cloudera) attracted new IT talent, refreshing and upskilling for future innovation and growth. .

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. The benefits are evident if you understand the advantages of modern SEO. Besides, you can tag people in the relevant cards to assign work directly to them. Big data should be leveraged to execute any GTM campaign. 2- SEMrush For SEO.

Marketing 106

Marketing Data Analytics Analytics Big Data 106

AWS Big Data

SEPTEMBER 25, 2023

Amazon Redshift workload management (WLM) helps you maximize query throughput and get consistent performance for the most demanding analytics workloads by optimally using the resources of your existing data warehouse. Use case overview ExampleCorp is an enterprise using Amazon Redshift to modernize its data platform and analytics.

Management 95

Management Data Warehouse Metrics Dashboards 95

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale.

Data Lake 99

Data Lake Data Warehouse Management Risk 99

Smart Data Collective

MARCH 23, 2022

Artificial intelligence has become a very important component of modern business practices. If you manage an eCommerce store, your main objective is to increase traffic to your site, so you can boost sales. AI tools can crawl websites and inspect images to make sure they all contain alt tags for people that can’t view the images.

Cost-Benefit 99

Cost-Benefit Data mining Sales Testing 99

Jet Global

APRIL 14, 2021

In this day and age, healthcare professionals are not only focused on the science behind their area of expertise, but on how to provide the best possible care, ensuring optimal hospital performance, and effectively managing occupancy and costs. This modern healthcare metric measures the utilization of advanced equipment at your facility.

Metrics 98

Metrics Reporting KPI Insurance 98

AWS Big Data

APRIL 3, 2024

If you use Amazon DataZone managed policies, there is no action needed because these will get automatically updated with the needed actions. Prerequisites We use Amazon EMR Serverless and Pydeequ to run a fully managed Spark environment. Varsha Velagapudi is a Senior Technical Product Manager with Amazon DataZone at AWS.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

Cloudera

JANUARY 30, 2019

CDSW was designed precisely to resolve this common conflict, offering data science teams a modern, collaborative environment for rapid development using open tools and libraries, plus on-demand access to data and compute. Provide a consistent experience wherever data is managed — on-premises, in the cloud or both. Sound familiar?

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

Cloudera

JANUARY 20, 2021

Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement. Security & Governance – an integrated set of security, management and governance technologies across the entire data lifecycle. Fig 1: The Enterprise Data Lifecycle. Data Collection Challenge. Factory ID.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103