Cloudera

MARCH 29, 2022

The benefits are clear: The private cloud environment allows agencies to host workloads that have unique regulatory, security, or performance requirements, while leveraging a public cloud to deploy elastic and specialized workloads that require cloud-native capabilities, such as artificial intelligence, machine learning, and edge computing. .

Cost-Benefit 97

Cost-Benefit Strategy Data Science Data Processing 97

Sisense

JULY 23, 2021

During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Cloudera

NOVEMBER 22, 2021

Explosion of data availability from a variety of sources, including on-premises data stores used by enterprise data warehousing / data lake platforms, data on cloud object stores typically produced by heterogenous, cloud-only processing technologies, or data produced by SaaS applications that have now evolved into distinct platform ecosystems (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

datapine

OCTOBER 14, 2020

The point of such dashboards is not to simplify the working environment and analysis processes since there are massive volumes of data collected on a daily level, and companies need solutions that will bring them to the right answer at the right time. To further complicate things, the data can also be in multiple “languages”.

Dashboards 235

Dashboards Interactive Reporting KPI 235

IBM Big Data Hub

MARCH 20, 2024

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 88

Internet of Things Data Processing Cost-Benefit IoT 88

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Ensure data literacy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Depict Data Studio

MAY 9, 2022

— When COVID-19 pushed many events online, I decided to host a virtual Christmas trivia event for my family. It’s a fine balance to get when hosting trivia! Here’s a blog post tutorial you can read.). She enrolled in our Dashboard Design course and is sharing how she used her new skills in her personal life.

Dashboards 97

Dashboards Data Processing Consulting Testing 97

Occam's Razor

JULY 12, 2010

In this blog post I want to share four analytics tools that I have been playing with for a while… tools that solve an interesting problem… tools that point to what might be in terms of our near term analytical future… and in almost all cases they don't even know! It measures how often a blog post is tweeted/retweeted.

Analytics 97

Analytics Measurement Metrics KPI 97

IBM Big Data Hub

NOVEMBER 14, 2023

Data products and data mesh Data products are assembled data from sources that can serve a set of functional needs that can be packaged into a consumable unit. Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

IBM Big Data Hub

APRIL 12, 2023

In our previous blog, we identified the three layers to network data monetization. These were the data layer, the analytics layer and the automation layer. To address the network data value tree successfully, we must address the complexities of these three layers, which are essential for automated operations in telco.

Data Processing 80

Data Processing KPI Optimization Analytics 80

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

IBM Big Data Hub

SEPTEMBER 7, 2023

IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. In addition, IBM will host StarCoder, a large language model for code, including over 80+ programming languages, Git commits, GitHub issues and Jupyter notebooks. Test out watsonx.ai

Modeling 101

Modeling Risk Unstructured Data Enterprise 101

Occam's Razor

OCTOBER 12, 2017

Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. Collect a handful of the smartest people you know, draw a box on a whiteboard, have a discussion. Step two, execute.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

IBM Big Data Hub

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Cloudera

JANUARY 11, 2021

Here are some details to consider: NiFi is designed to be centrally located, usually in a data center or in the cloud, to move data around or collect data from well-known external systems like databases, object stores, etc. Still, it requires Java to be available on the host. The most common protocol is HTTP.

Data Processing 62

Data Processing Interactive Data Warehouse ROI 62

IBM Big Data Hub

MARCH 29, 2024

Time-series metrics are a collection of data that is taken at regular intervals such as monthly sales data, or daily application traffic. Clear visibility into this type of data offers insights into patterns, trends and predictions for business planning. Prometheus uses PromQL to aggregate data and metrics.

Metrics 75

Metrics Visualization Measurement Optimization 75

Ontotext

MAY 18, 2020

THE ROLE OF TEXT IN HEALTHCARE: Text is a unique resource because medical reports carefully describe the diagnosis associated with multimodal and multimedia data and also the relevant image content. There are four types of data sources that the team will work with. Information source: H2020 grant for Computational Pathology ].

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Occam's Razor

JANUARY 12, 2015

Each bucket has a host of specific segments for you. " Recently I had the opportunity to cover the IABI in a significant amount of detail in my blog post on creating strategic dashboards. Checking data collection quality etc. Phase two is all about data reporting. And that's the complete picture!

Analytics 151

Analytics Slice and Dice KPI Metrics 151

Darkhorse

JULY 21, 2015

Recently the Alberta government hosted Apps for Alberta - a competition using the province’s open data. Being an Alberta-based data visualization firm, we felt encouraged, perhaps even duty-bound, to enter. Our data can only answer "How do schools' grades compare?" And there are likely biases in the data collection (e.g.

Visualization 40

Visualization Data Processing Data Collection Testing 40

IBM Big Data Hub

MAY 28, 2024

That plan might involve switching over to a redundant set of servers and storage systems until your primary data center is functional again. A third-party provider hosts and manages the infrastructure used for disaster recovery. Disaster recovery as a service (DRaaS) is a managed approach to disaster recovery.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection. Consents cannot be bundled, either.

Measurement 74

Measurement Risk Data Collection Data Processing 74

IBM Big Data Hub

MAY 15, 2024

These approaches minimize data movement, latencies, and egress fees by leveraging integration patterns alongside a remote runtime engine, enhancing pipeline performance and optimization, while simultaneously offering users flexibility in designing their pipelines for their use case.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

IBM Big Data Hub

JANUARY 22, 2024

A company can be both a controller and a processor, like a company that both collects phone numbers and uses them to send marketing messages. Processors also include third parties that process data on behalf of controllers, like a cloud storage service that hosts a phone number database for another business.

Measurement 79

Measurement Data Processing Risk Data Collection 79

IBM Big Data Hub

MAY 26, 2023

AWS is responsible for the operation, management and control of the components from the host operating system and virtualization layer down to the physical security of the facilities in which the AWS services operate.

Consulting 73

Consulting Cost-Benefit Machine Learning Optimization 73

Occam's Razor

APRIL 15, 2019

Through their words and actions, ESLs can quash data's learn to improve spirit, or they can nurture that spirit and deliver a transformative, positive impact on the company's culture + profit. But on this blog and in my newsletter I’ve shared enough strategies you should not use to slant data – use them.

Measurement 80

Measurement Strategy Data Processing Uncertainty 80

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Sisense

MARCH 18, 2020

Software developers are often asked to create solutions that enable the collection, monitoring, and exchange of personal information. Our increasingly global workforce collaborates via a host of digital technologies spanning multiple countries and territorial borders.

Software 52

Software Machine Learning Internet of Things Risk 52

Alation

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. Principle #2: Data as a product.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Data Science 101

NOVEMBER 8, 2023

I’m on the corporate side so I’ve had to become familiar with every data collection, storage, processing, and retrieval method you can imagine… I often work with our DS teams to apply their models to our data for the sake of producing targeted single, multi, and omnichannel campaigns.

Data Science 59

Data Science Visualization Management Data Processing 59

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. You may also visit the data warehouse section on Discover CDP.

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

IBM Big Data Hub

JANUARY 10, 2023

This provides a cost-effective data analysis solution for clients that have frequently accessed data that they wish to combine with older, less frequently accessed data. By not requiring a client to move their data into the data warehouse, NPS can provide an advantage over other vendors such as Snowflake.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. 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?

Analytics 64

Analytics Measurement Data-driven Modeling 64

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. What is the right size for a governance committee to ensure efficiency and create good data definitions? Curious to hear from the author?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. There are two types of data warehouses: on-premises and cloud-based.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Depict Data Studio

MAY 12, 2020

They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. Data Visualization Society. Next, I asked Amanda to share tips for visualizing COVID-19 data responsibly. COVID-19 Data Quality Issues. Understanding COVID-19 Data Collection. DataViz DC.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52