CIO Business Intelligence

MARCH 13, 2023

“Any engineer throughout history has probably been motivated in large part by the impact they can have on society,” says Rau, who joined Eli Lilly two years ago after a decade at Apple. It’s bigger than working on interesting problems. He believes job stability is another lure.

Machine Learning 98

Machine Learning Technology Software Reporting 98

datapine

AUGUST 21, 2019

Feritta, what’s the number one mistake you see small businesses making in the modern economy?”. And rather than using Excel or Google Sheets to do so, you can focus on these charts instead. Because after all – a business dashboard is worth a thousand Excel sheets. What do you wanna know?”. Tilman pauses for a second.

Sales 235

Sales Dashboards KPI Visualization 235

IBM Big Data Hub

AUGUST 2, 2023

In our first blog post in this series on debunking observability myths, we focused on the myth that “ You can skip monitoring and rely solely on logs.” Stay tuned for our next blog post, where we debunk another common myth: Observability is only useful for large-scale systems or complex architectures.

Cost-Benefit 58

Cost-Benefit Metrics Optimization Software 58

CIO Business Intelligence

JUNE 21, 2023

When Tom Peck joined Sysco during the peak of the COVID-19 pandemic, his major goal was ensuring the survival of the world’s largest food service delivery company and helping its thousands of customers stay afloat. The pandemic forced us to review our company and the entire industry.” The next logical step is AI,” Peck says.

IT 76

IT B2B Digital Transformation Sales 76

Andrew White

MAY 19, 2023

One story does pop-up here, and another somewhere else. From one thread to another In this updated work it became clearer to me that other long range trends (published in the tapestry work) are underpinned by demographics. Back to our limits Land is of course one of the factors of production.

Measurement 52

Measurement Forecasting Dashboards Marketing 52

Occam's Razor

MAY 14, 2012

Let's become BFFs with a lovely hidden gem that helps you leverage one of the largest source of data on the planet to understand the strength of your brand over time. Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. The data you see is normalized and presented on a scale from 0-100.

Measurement 128

Measurement Analytics Advertising Marketing 128

AWS Big Data

MAY 16, 2024

You can increase broker count or the broker size to manage the surge in traffic during peak events or decrease the instance size of brokers of the cluster to reduce capacity. However, to reduce the broker count, earlier you had to undertake effort-intensive migration to another cluster. Look for the peak load over a period of 1 month.

Metrics 72

Metrics Optimization Data Processing Management 72

O'Reilly on Data

AUGUST 4, 2022

What you thought was your goal and end point turns out to be a lower peak or simply a contour that, from lower down, looked like a peak. The hard work has been done and reaching AGI is now a simple matter of scaling. Each scaling of an existing approach is successful up to a point, beyond which a different approach is needed.

Machine Learning 262

Machine Learning Modeling Statistics Software 262

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift.

Data Warehouse 60

Data Warehouse Analytics Testing Cost-Benefit 60

CIO Business Intelligence

JULY 13, 2022

What was your impression of the company before you joined and was it any different after you started? Was it any different after I started? We are out on our multi-function hybrid data platform journey with our customers and partners, focused on driving great business outcomes. Absolutely! That’s the fun of it.

Data-driven 92

Data-driven Uncertainty Data Architecture Strategy 92

Cloudera

MARCH 2, 2022

We will now look into one of the techniques used to reduce peak memory usage of Aggregates and Joins by up to 50%, and peak node memory usage by 18% at the per-node level on a TPC-DS 10000 workload. After folding and struct packing we will get a Bucket size of 12 bytes. Peak Allocation. Peak Allocation.

Data Warehouse 85

Data Warehouse Optimization Analytics Sales 85

AWS Big Data

FEBRUARY 13, 2024

In this case, a dashboard that can visualize the same metrics with the ability to drill down into individual issues is an effective solution to monitor at scale. We discuss the types of metrics and charts available to surface key insights along with two use cases on monitoring error classes and throughput of your AWS Glue jobs.

Metrics 101

Metrics Dashboards Visualization Key Performance Indicator 101

IBM Big Data Hub

JANUARY 16, 2024

Serving as a one-stop shop, it measures, reports, creates baselines and provides a unified dashboard view of the carbon footprint across the hybrid cloud environment—including private data centers, public cloud and user devices. Power usage effectiveness (PUE) : Another critical metric is power usage effectiveness.

IT 90

IT Cost-Benefit Consulting Measurement 90

Cloudera

JULY 12, 2022

What was your impression of the company before you joined and was it any different after you started? Was it any different after I started? We are out on our multi-function hybrid data platform journey with our customers and partners, focused on driving great business outcomes. Absolutely! That’s the fun of it.

Data-driven 101

Data-driven Uncertainty Data Architecture Strategy 101

datapine

APRIL 25, 2023

Source : differencebetween.com Given that spider charts use quantitative dimensions in most cases, the axes are not continuous and don’t have the same scale. That being said, the most common use case for spider chart analysis is to compare one or more values based on a set of characteristics, features, or attributes.

Visualization 168

Visualization Sales Testing Cost-Benefit 168

AWS Big Data

MAY 9, 2024

Amazon Redshift Serverless provides a fully managed, petabyte-scale, auto scaling cloud data warehouse to support high-concurrency analytics. Redshift Serverless auto scales during usage spikes, enabling enterprises to cost-effectively help meet changing business demands. VPC – Redshift Serverless is provisioned in a VPC.

Testing 81

Testing Cost-Benefit Optimization Reporting 81

IBM Big Data Hub

MARCH 6, 2024

Cloud-to-cloud migration occurs when organizations move resources from one cloud to another. For instance, a rapidly growing online gaming company migrating to the cloud for scalability might encounter issues if auto-scaling features are not configured optimally.

Optimization 78

Optimization Strategy Cost-Benefit Testing 78

Ontotext

JUNE 15, 2023

It is designed to handle high volumes of data and can easily scale to handle peak loads without compromising on performance or data integrity. You can use the Docker compose given in the repository or the one specially created for this post – docker compose. Alternatively, you can deploy the services separately.

Machine Learning 52

Machine Learning Data Integration Big Data Testing 52

Cloudera

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT. Is there a better option than the obvious ones?

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Ontotext

MAY 18, 2020

If you, like me, have a penchant for cyberpunk, maybe all this brings to mind Wowbagger – Douglas Adam’s character who “after a period of total boredom, especially on Sunday afternoons, decided to insult everyone in the entire universe in alphabetical order”. One of them, the ExaMode project, is what we want to tell you about.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Occam's Razor

SEPTEMBER 21, 2015

For one, I hope you see the massive investment in self-development of business skills required to have the foundation required to get to the why and, even more, the so what. Reflect on the implication of that why and so what on your current skills/career. Tom Fishburne's wonderful cartoon is here for another purpose.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Perceptual Edge

MARCH 21, 2018

We typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. In particular, notice the income scale along the X axis.

Uncertainty 66

Uncertainty Visualization IT Reporting 66

Domino Data Lab

OCTOBER 9, 2019

Given the realities of climate change, species extinction, peak oil, and so on in the 21st century, these folks at NOAA are true heroes of data science in our times. Jonathan O’Neil, who’s led the spike on evaluating a large-scale migration to the cloud—check out his slides for the “The NOAA Big Data Project: By The Numbers” keynote.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

O'Reilly on Data

SEPTEMBER 11, 2019

Which themes and topics tended to intersect or overlap with one another? This is noteworthy for several reasons: first, the top three terms in our data set relate in one way or another to ML. 40; it peaked at Strata NY 2018 at No. Another related term, “data pipeline” (at No. This year, AI sits at No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Furthermore, the metrics of interest could involve the prevalence of more than one policy vertical, and the choice of the metrics would affect how we design our sampling and objective function. The sum of weights squared after splitting is $sum_{i=1}^N p_i^2 / k$, and thus mitigates the problem of skewness in the weights.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

IBM Big Data Hub

FEBRUARY 8, 2024

Construction began on large-scale solar power plants, including solar thermal plants, and there was an expansion of distributed solar electricity—electricity generation at residential and business locations through rooftop-mounted solar panels. kW capacity that served two paper mills and one residence.

Manufacturing 76

Manufacturing Reporting Data-driven Technology 76

DataRobot Blog

JUNE 24, 2022

How do you determine which real estate investment decision is better than another? Many real estate players have long made decisions based on intuition coupled with analyzing traditional key retrospective data. Also, they can scale the AI lifecycle at a fraction of the cost compared to in-house alternative analytical solutions.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

datapine

DECEMBER 28, 2021

The most common one is of course correlation versus causation, which always leaves out another (or two or three) factors that are the actual causation of the problem. This is just one of many examples of misleading statistics in the media and politics. Let’s look at one of them closely. We apologize.

Statistics 363

Statistics Advertising Visualization Data mining 363

O'Reilly on Data

JANUARY 25, 2021

Real trends unfold on much longer time scales and may take several steps backward during the process: civil rights, for example. Suddenly, the ability to design, build, and operate applications at scale wasn’t optional; it was necessary for survival. Concurrency has always been one of Python’s weaknesses. frameworks.

Machine Learning 363

Machine Learning Software Testing Technology 363

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. M&A volume climbed from $3.26

Technology 143

Technology Enterprise Consulting Software 143