Flipboard

DECEMBER 18, 2023

Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift. Learn more about these new generative AI features to increase productivity including Amazon Q generative SQL in Amazon Redshift. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

AWS 139

AWS Data Warehouse ETL SQL 139

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Smart Data Collective

MAY 20, 2019

The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples. Professionals adept at this skill will be desirable by corporations, individuals and government offices alike.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

FEBRUARY 4, 2024

Predictive Analytics: Leverage machine learning algorithms for accurate predictions. Data Analytics automation Alteryx’s standout feature lies in its capability to automate data analytics workflows. Is Alteryx an ETL tool? Yes, Alteryx is an ETL (Extract, Transform, Load) tool.

Data Preparation 52

Data Preparation Tableau Data Visualization Analytics 52

Precisely

FEBRUARY 23, 2023

Predictive analytics and proactive alerts enable IT administrators to see the impact of potential changes and monitor for conditions that exceed predefined thresholds. It offers multidimensional analysis of workloads, with the ability to see beyond cosmetic differences in otherwise identical SQL statements.

Database 52

Database SQL ETL Predictive Analytics 52

Pickl AI

JANUARY 28, 2025

This involves several key processes: Extract, Transform, Load (ETL): The ETL process extracts data from different sources, transforms it into a suitable format by cleaning and enriching it, and then loads it into a data warehouse or data lake. Prescriptive Analytics : Offers recommendations for actions based on predictive models.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52