Advancing Analytics

AUGUST 2, 2023

If you want to know more about Microsoft Fabric then check out our introduction blog post which you can find here. Since Microsoft Fabric has been announced there have been many questions and queries about licensing and in this blog post I will go through everything you need to know! What are capacities? Which capacity do I need?

Capacity 52

Capacity Management 52

Advancing Analytics

JANUARY 3, 2023

bz2’ files can have certain tags extracted from them using the ‘options(rowTag=*tag name*)’. The three tags that should be extracted are nodes, ways and relations. alias("id"), f.explode_outer("tag") ).select(f.col("id"), select("id", f.explode_outer("tag")).withColumn("key", select("id", f.explode_outer("tag")).withColumn("key",

Travel 59

Travel Activation Architecture Application 59

Advancing Analytics

MARCH 31, 2023

In the previous blog , we explored how Azure Functions can simplify the deployment process. In this blog, we'll delve deeper into some of the essential hints and tips for more robust model deployments. Introduction Machine learning (ML) model deployment is a critical part of the MLOps lifecycle, and it can be a challenging process.

Application 52

Application Management Architecture Evaluation 52

Pure Storage

SEPTEMBER 11, 2023

Bogus Statements) by Pure Storage Blog (For the purposes of this post, “B.S.” This is actually a decision that forces customers to choose between a “block optimized” installation or a “unified” installation. This way, the “non-optimized” path will take over in case of a controller or path failure. stands for Bogus Statements.

Activation 106

Activation Failover Capacity Architecture 106

Pure Storage

OCTOBER 24, 2022

To achieve this, you’ll need to optimize non-sequential (random) read throughput from your storage. Data sets include a mixed bag of “types” of data including millions of small metadata bounding boxes, annotations, tags, etc as well as files and objects of varying sizes. Be able to process all file sizes and formats. The Takeaway.

Alert 124

Alert Security Resilience Management 124

Pure Storage

OCTOBER 19, 2022

To achieve this, you’ll need to optimize non-sequential (random) read throughput from your storage. Data sets include a mixed bag of “types” of data including millions of small metadata bounding boxes, annotations, tags, etc as well as files and objects of varying sizes. Be able to process all file sizes and formats. The Takeaway.

Alert 98

Alert Security Resilience Management 98

Pure Storage

SEPTEMBER 11, 2023

How the SF Giants Use Data Analytics for Partnerships and Marketing by Pure Storage Blog Like most Major League Baseball (MLB) teams, the San Francisco Giants often experiment with new and innovative ways to bring people to Oracle Park. And data analytics helps to inform the sales strategy to determine prospective partners.⁵

Marketing 64

Marketing Sports Media Advertising 64

Pure Storage

JULY 22, 2021

The apps and add-ons offer optimized data-collection tools and powerful dashboards right out of the box for enterprise security, IT operations, mobile intelligence, and more. . They also help select, identify, and tag fields and map them to standard models to prepare them for analysis or use in apps. Splunk Apps Use Case with Pure .

Audit 87

Audit Alert Capacity Architecture 87

Pure Storage

JULY 21, 2023

Data Fabric vs. Data Lake vs. Data Warehouse by Pure Storage Blog As businesses collect more “raw” data—such as computer logs or video files that have not yet been processed, cleaned, or analyzed for use—they need reliable and effective ways to manage that information until they’re ready to work with it.

Architecture 52

Architecture Data Integrity Application Government 52

Pure Storage

OCTOBER 19, 2023

by Pure Storage Blog In today’s digital landscape, organizations face a wide array of data management challenges due to the increasing volume, variety, and complexity of data—and all the various apps and users who need to access that data. appeared first on Pure Storage Blog. Data Mesh vs. Data Fabric: What’s the Difference?

Architecture 52

Architecture Data Integrity Government Technology 52