datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.

Analytics 72

Analytics Data Warehouse Optimization Metrics 72

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 79

Dashboards Data Warehouse Visualization Data Processing 79

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 118

Data Lake Analytics Dashboards Metrics 118

AWS Big Data

APRIL 3, 2024

Manage your Iceberg table with AWS Glue You can use AWS Glue to ingest, catalog, transform, and manage the data on Amazon Simple Storage Service (Amazon S3). With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog.

Data Lake 99

Data Lake Snapshot Metadata Data Architecture 99

AWS Big Data

APRIL 25, 2024

As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A. The pipeline then starts running stored procedures and SQL commands on Redshift Serverless.

Metadata 108

Metadata Data Processing Management Testing 108

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 78

Data Lake Data Warehouse Sales Data-driven 78

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

MARCH 30, 2015

Actionable Visualization In Power BI. 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. Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 Using Power Pivot.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. 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. Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 Using Power Pivot.

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.

Data Governance 84

Data Governance Machine Learning Metadata Data Science 84

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Then we roll out a decade later.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

MARCH 21, 2023

Background At AWS Payments, we had been using Redash to allow our users to author and run SQL queries against our Amazon Redshift data warehouse. Redash is a web-based SQL client application that can be used to author and run queries, visualize query results with charts, and collaborate with teams.

Cost-Benefit 75

Cost-Benefit Dashboards Visualization Data-driven 75

Jet Global

SEPTEMBER 22, 2023

Use Case #1 – Using ChatGPT to Analyze Any Data Set with Logi With the power of ChatGPT, Logi Symphony offers single-click data analysis by extracting insights from visual representations. You can create a button within Logi Symphony that extracts data from charts or visualizations and sends it to ChatGPT for analysis.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52