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

APRIL 10, 2024

xlplus) with at least two nodes, or Redshift Serverless Encrypted (if using a provisioned cluster) For this post, we create and configure a Redshift Serverless workgroup and namespace as the target data warehouse, following these steps: On the Amazon Redshift console, choose Serverless dashboard in the navigation pane.

Data Warehouse 88

Data Warehouse Analytics Metrics Snapshot 88

datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. It’s also one of the best books on data science around.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Peter James Thomas

AUGUST 18, 2018

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. These people take on much of the heavy lifting of consolidating, fixing and enriching datasets, allowing the Data Scientists to focus on Statistical Analysis, Data Mining and Machine Learning.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. From a startup in 2012, it is now valued at $3.2

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

FEBRUARY 3, 2023

Appian RPA’s low-code integrated development environment (IDE) encourages fast creation of custom bots, while the dashboard tracks all the operating robots and can create a video of the screen to help debug the bots deployed across Appian’s cloud. Power Advisor tracks statistics about performance to locate bottlenecks and other issues.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238