Ms SQL Girl

MARCH 30, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the three precons at SQL Saturday 389, Huntington Beach, California. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 102

Enterprise Data Lake Data Collection Data-driven 102

AWS Big Data

APRIL 27, 2023

It supports modern analytical data lake operations such as create table as select (CTAS), upsert and merge, and time travel queries. Athena also supports the ability to create views and perform VACUUM (snapshot expiration) on Apache Iceberg tables to optimize storage and performance. You can perform bulk load using a CTAS statement.

Data Lake 76

Data Lake Snapshot Optimization Data Transformation 76

Andrew White

OCTOBER 22, 2021

Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Portfolio Planning/Optimization 5. Data Management Infrastructure/Data Fabric 5. Data Integration tactics 4. Business Innovation with D&A 6.

IT 52

IT Data Lake Strategy Data Science 52

AWS Big Data

APRIL 25, 2023

At Dafiti, the entire infrastructure is on AWS, and we use Amazon Redshift as our Data Warehouse. QuickSight, when using SPICE (Super-fast, Parallel, In-memory Calculation Engine), extracts data from Amazon Redshift as efficiently as possible using UNLOAD , which optimizes the use of Amazon Redshift.

Visualization 52

Visualization IT Data-driven Reporting 52

CIO Business Intelligence

JULY 13, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 61

Enterprise Data Lake Data Collection Data-driven 61

datapine

FEBRUARY 22, 2022

In the article, he pointed to a pretty fascinating trend: “Experian has predicted that the CDO position will become a standard senior board-level role by 2020, bringing the conversation around data gathering, management, optimization, and security to the C-level.” We love that data is moving permanently into the C-Suite.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 86

Data Lake Manufacturing Metadata Dashboards 86

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Do you play SimCity?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109