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Sigma

Sigma

Sigma

Pingahla are cloud data platform experts, with proven experience in building scalable foundations for Sigma to operate on. We can quickly provision a cloud data warehouse, ingest key data sources, and build a robust set of data models which provide the base from which to explore in Sigma. We can also build reports and dashboards to help clients get business insights from their data. We help our clients implement self-serve Sigma set-ups, including provisioning and data governance, and enabling them to quickly begin creating dashboards and building workbooks. We enjoy providing training and documentation, and coaching the wide universe of Sigma users within each organization.

Enabling self-service analysis for internal stakeholders

Embedding data exploration within applications for customers and partners

Building forecasting and “what-if” analysis, for example for finance or supply chain use cases

Sigma

In today's data-driven world, companies must constantly adapt to keep pace with the rapid evolution of technology. As businesses grow and...

Why Moving from Cloudera to Databricks is the Best Choice for Your Business

Aug 19, 2024

Greg Olsen

By

Introduction: EC2 Instances serve as the fundamental building blocks of your cloud setup—crucial for your virtual environment. But here's...

Automate EC2 Instance Stop: Optimize Costs and Efficiency

Aug 7, 2024

Prakash Soren

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Introduction Applications created and built to use cloud computing platforms are known as “cloud-native” applications. Cloud-native...

CLOUD-NATIVE TESTING: An overview

Jun 7, 2024

Ritesh Damre

By

We all know that organizations are making huge investments in Artificial Intelligence and Machine learning (AI/ML). While that is being...

Unleashing the potential of Data Governance

Mar 29, 2024

Vishal Vikram

By

In the bustling world of business, seamless data exchange is paramount. Enterprises rely on Electronic Data Interchange (EDI) to...

ACCELERATE YOUR EDI PERFORMANCE WITH TALEND

Mar 13, 2024

Sherry Wang

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En el mundo de datos, los procesos de extracción, transformación y carga (ETL) y extracción, carga y transformación (ELT) son dos de los...

ELT VS ETL: ENTENDIENDO LAS DIFERENCIAS CLAVE EN LA GESTIÓN DE DATOS ELT vs ETL: ¿Cuál es la diferencia?

Jan 10, 2024

Juan Contreras

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In the world of data, the processes of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) are two of the most common...

ELT VS ETL: UNDERSTANDING KEY DIFFERENCES IN DATA MANAGEMENT ELT vs ETL: What's the Difference?

Jan 10, 2024

Juan Contreras

By

It is an application used for data processing. Cloud secure agents allow secure communication through the firewall between the...

CLOUD SECURE AGENT INSTALLATION

Dec 28, 2023

julianasoto7

By

Data Quality is an important factor for driving successful projects. Here we give you an insight into how AI can help test data quality.

AI-Based Testing for Data Quality

Oct 13, 2023

Rahul Chandel

By

Power BI (Microsoft) and Tableau (Salesforce) are both popular business intelligence (BI) tools used for data visualization and analysis....

Power BI vs Tableau: Who is the leader in 2023?

Aug 30, 2023

Carlos Peralta

By

As the importance of data takes more center stage, we have more and more businesses that claim to be data-driven. As companies increase...

Data Observability and its Eminence

Aug 16, 2023

Manish Semwal

By

In today's digital landscape, data has become the driving force behind successful marketing strategies. Digital marketers rely on a...

Digital Marketers Juggling Act (Data, Solutions & More)

Jun 5, 2023

gregolsen

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