AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 118

Data Lake Data Warehouse Management Risk 118

AWS Big Data

AUGUST 27, 2024

With Amazon EMR, you can take advantage of the power of these big data tools to process, analyze, and gain valuable business intelligence from vast amounts of data. His background is in data warehouse/data lake – architecture, development and administration.

Metrics 104

Metrics Dashboards Data Lake Optimization 104

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake 95

Data Lake Data Governance Data Warehouse Data-driven 95

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Microsoft also releases Power BI, a data visualization and business intelligence tool. who saw the potential that cloud offered.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Ms SQL Girl

FEBRUARY 3, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. About the Speaker: Julie Koesmarno. Introduction to Power BI.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. About the Speaker: Julie Koesmarno. Introduction to Power BI.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. About the Speaker: Julie Koesmarno. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. About the Speaker: Julie Koesmarno. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. We keep feeding the monster data.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Howard Dresner

JANUARY 8, 2013

Dear Friends, Since last year I began supporting a new Business Intelligence blog on the Sandhill.com website , called "Dresner's Point". Each week I am joined by Business Intelligence and information management experts (e.g., Each week I am joined by Business Intelligence and information management experts (e.g.,

Business Intelligence 45

Business Intelligence Data Warehouse Data Processing Big Data 45

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. This is the essence of Convergent Evolution. In Closing.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Domino Data Lab

JULY 22, 2019

But the business logic kept getting more and more progressively rolled back into the middle layer, also called application servers, web servers, later being called middleware. Then in the bottom tier, you had your data management, your back office, right? The data governance, however, is still pretty much over on the data warehouse.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

JANUARY 23, 2025

Amazon SageMaker Lakehouse enables a unified, open, and secure lakehouse platform on your existing data lakes and warehouses. Its unified data architecture supports data analysis, business intelligence, machine learning, and generative AI applications, which can now take advantage of a single authoritative copy of data.

Data Lake 121

Data Lake Data Warehouse Metadata Machine Learning 121