Data Modelling Data Warehouse Predictive Analytics 
Smart Data Collective
NOVEMBER 18, 2020
Every Data Scientist needs to know Data Mining as well, but about this moment we will talk a bit later. Where to Use Data Science? Where to Use Data Mining? Data Mining Techniques and Data Visualization. Data Mining is an important research process. Practical experience.
Astera
OCTOBER 27, 2023
What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.
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Astera
DECEMBER 21, 2022
The 2020 Global State of Enterprise Analytics report reveals that 59% of organizations are moving forward with the use of advanced and predictive analytics. For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker.
Sisense
JULY 22, 2020
They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Connect tables.
Sisense
AUGUST 22, 2019
These are the types of questions that take a customer to the next level of business intelligence — predictive analytics. . Predictive analyses are slow to complete, hard to keep updated, and often fail to drive the business impact the analyst imagines once their results are generated. . A New Paradigm.
The BAWorld
NOVEMBER 22, 2021
Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Conceptual Data Model. Logical Data Model : It is an abstraction of CDM. Data Profiling.
Sisense
MAY 31, 2020
Every customer has something to teach us about how companies use data to transform a business or change lives. “We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers.
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