datapine

AUGUST 29, 2022

Managing data in its full scope is not an easy task, especially when it comes to system design. Best for: For chief executive officers, business owners, managers, and professionals working on business development. Big data management presents a big challenge for organizations that want to use their data as a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

SEPTEMBER 29, 2022

Data Mesh is a concept used to help scale a company’s data footprint in a manageable way. Hybrid architectures are technology choices made to ingest, store, process, govern, and visualize data in different form factors —- on premises as well as in multiple clouds, potentially replicating data as needed. Data mesh conceptual hierarchy.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

AWS Big Data

APRIL 5, 2023

Showpad migrated over 70 dashboards with over 1,000 visuals. A key architectural decision that Showpad took during this time was to create a portable data layer by decoupling the data transformation from visualization, ML, or ad hoc querying tools and centralizing its business logic.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. Her report states that organizations relying on manual processes to provision, manage, and govern data simply can’t scale.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

BizAcuity

MAY 10, 2022

An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base. 2011: IBM enters the cloud market with IBM SmartCloud. Microsoft also releases Power BI, a data visualization and business intelligence tool.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

MAY 4, 2023

Lustre manages the balance of files to be loaded in and kept warm, based on demand. The service abstracts allowing AWS to manage this DNS namespace privately. Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1 The following table summarizes our dataset details.

Data Processing 95

Data Processing Metadata Informatics Interactive 95

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

Domino Data Lab

JULY 9, 2019

I do not want a product manager being the information bottleneck between people who are supposed to do some research and develop a product that is useful and somebody who’s going to be the end user. It’s a visual problem so it works both in our MSE and it works by your eyeballs. We can monetize that.” And it works.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Changes in system architecture get reflected as substantial changes in how we collect, use, and manage data, and therefore become drivers for DG. Granted, I’m no expert in DG.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

MARCH 3, 2019

While I hear so much about Snowflake adoption rates within mainstream IT, here we’re seeing Spark, Kafka, and Hadoop among the most popular data processing tools, along with their corresponding managed services in the cloud. Note how there’s roughly a 2:1 ratio between relying on open source and use of managed services. Management.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

JANUARY 6, 2019

Let me ask a question: as a manager, do you outsource that training? Over the years, people I’ve helped mentor in data science have become team leaders, managers, and executives. Perhaps, a person who’s been a team lead as a software developer, probably with an eye toward eventual management. Do you build upskilling internally?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Occam's Razor

APRIL 25, 2011

Slow sites make your management happy? " I'd postulated this rule in 2005, it is even more true in 2011. Dan Grainger] "There's surely a tilting point between having an SEO optimised site that delivers visually and having one that simply stuffs keyword optimised text and links everywhere. Think of the puppy!

Marketing 126

Marketing Measurement Metrics Testing 126

Domino Data Lab

AUGUST 22, 2019

million words—a manageable quantity that means you’ll be able to run all of the code examples in this section on a laptop. Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. 2011) earlier in this chapter. Note: Maas, A., Plotting Word Vectors.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

SEPTEMBER 24, 2012

I wanted to come up with a way to visualize the unique challenge Facebook faces when it comes to proving ROI. Get a shared understanding with your management team of why you are on Facebook. Dippin' Dots crossed five million Facebook Fans a couple of days before they filed for bankruptcy in Nov 2011. Let's go!

Advertising 165

Advertising ROI Metrics Marketing 165