Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. This brings reliability to data ETL (Extract, Transform, Load) processes, query performances, and other critical data operations.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is one example of a new technology that has changed the game. Let’s delve into what cloud analytics is, how it differs from on-premises solutions, and, most importantly, the eight remarkable ways it can propel your business forward – while keeping a keen eye on the potential pitfalls. What is cloud analytics?

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Dojo

OCTOBER 31, 2024

Skills and Training Familiarity with ethical frameworks like the IEEE’s Ethically Aligned Design, combined with strong analytical and compliance skills, is essential. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Tableau

MARCH 30, 2021

we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. Alongside extensive support for Amazon Web Services and Google data services, we offer connectors to support all of your critical Azure data investments.

Azure 102

Azure Tableau Data Lakes SQL 102

databricks

JUNE 11, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

130

130

databricks

JUNE 11, 2025

In just under 60 minutes, we had a working agent that can transform complex unstructured data usable for Analytics.” — Joseph Roemer, Head of Data & AI, Commercial IT, AstraZeneca “Agent Bricks allowed us to build a cost-effective agent we could trust in production. Agent Bricks is now available in beta.

130

130

Data Science 101

JANUARY 17, 2020

Azure Machine Learning Datasets Learn all about Azure Datasets, why to use them, and how they help. AI Powered Speech Analytics for Amazon Connect This video walks thru the AWS products necessary for converting video to text, translating and performing basic NLP. Some news this week out of Microsoft and Amazon.

Cloud Data 120

Cloud Data Data Science Azure ETL 120

databricks

JUNE 4, 2025

Amazon Web Services (AWS) returns as a Legend Sponsor at Data + AI Summit 2025 , the premier global event for data, analytics, and AI. AWS’ Legendary Presence at DAIS: Customer Speakers, Featured Breakouts, and Live Demos! 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

AWS 130

AWS AI AI Data Science 130

Pickl AI

APRIL 9, 2025

Summary: This guide explores the top list of ETL tools, highlighting their features and use cases. It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. What is ETL? What are ETL Tools?

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

Pickl AI

OCTOBER 15, 2024

Summary: Selecting the right ETL platform is vital for efficient data integration. Introduction In today’s data-driven world, businesses rely heavily on ETL platforms to streamline data integration processes. What is ETL in Data Integration? Let’s explore some real-world applications of ETL in different sectors.

ETL 52

ETL Azure AWS Data Governance 52

Pickl AI

DECEMBER 15, 2024

Familiarise yourself with ETL processes and their significance. Unlike operational databases, which support daily transactions, data warehouses are optimised for read-heavy operations and analytical processing. ETL Process: Extract, Transform, Load processes that prepare data for analysis. Can You Explain the ETL Process?

Data Warehouse 52

Data Warehouse ETL Database Data Quality 52

ODSC - Open Data Science

MARCH 20, 2025

30% Off ODSC East, Fan-Favorite Speakers, Foundation Models for Times Series, and ETL Pipeline Orchestration The ODSC East 2025 Schedule isLIVE! New Podcast Episode: The AI-Powered Analyst: Skills You Need to StayRelevant In this episode of ODSCs Ai X Podcast, we explore how AI is revolutionizing analytics, decision-making, and careerpaths.

ETL 52

ETL Data Science Machine Learning Machine Learning 52

Pickl AI

OCTOBER 17, 2024

Summary: This article explores the significance of ETL Data in Data Management. It highlights key components of the ETL process, best practices for efficiency, and future trends like AI integration and real-time processing, ensuring organisations can leverage their data effectively for strategic decision-making.

ETL 52

ETL Data Warehouse Data Quality Data Governance 52

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

Azure 52

Azure Data Engineering Data Engineering Data Engineer 52

The MLOps Blog

MAY 17, 2023

However, efficient use of ETL pipelines in ML can help make their life much easier. This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines.

ETL 59

ETL Data Pipeline ML ML 59

ODSC - Open Data Science

APRIL 23, 2025

Credits can be used to run Python functions in the cloud without infrastructure management, ideal for ETL jobs, ML inference, or batch processing. Microsoft Azure Azure supports AI development through tools like Azure ML Studio, virtual machines, and Azure OpenAI integration.

Data Scientist 52

Data Scientist Azure Apache Kafka ML 52

Mlearning.ai

APRIL 24, 2023

The Coursera class is direct to the point and gives concrete instructions about how to use the Azure Portal interface, Databricks, and the Python SDK; if you know nothing about Azure and need to use the service platform right away I highly recommend this course. It will take a couple of months but it is worth it!

Azure 52

Azure SQL Database Python 52

Tableau

MARCH 29, 2021

we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. Alongside extensive support for Amazon Web Services and Google data services, we offer connectors to support all of your critical Azure data investments.

Azure 52

Azure Tableau Data Lakes SQL 52

Smart Data Collective

APRIL 29, 2020

Extraction, Transform, Load (ETL). Data analytics and visualisation. This involves the processing of selecting data from data warehouses, data analytics and presentation in dashboards and visualisations. Redshift is the product for data warehousing, and Athena provides SQL data analytics. Microsoft Azure.

Data Warehouse 98

Data Warehouse SQL Azure ETL 98

Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. At the heart of this process lie ETL Tools—Extract, Transform, Load—a trio that extracts data, tweaks it, and loads it into a destination. Choosing the right ETL tool is crucial for smooth data management. What is ETL?

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Women in Big Data

NOVEMBER 27, 2024

Optimized for analytical processing, it uses specialized data models to enhance query performance and is often integrated with business intelligence tools, allowing users to create reports and visualizations that inform organizational strategies. Pay close attention to the cost structure, including any potential hidden fees.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Data Science Blog

JUNE 21, 2023

Cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), provide scalable and flexible infrastructure options. What makes the difference is a smart ETL design capturing the nature of process mining data. But costs won’t decrease only migrating from on-premises to cloud and vice versa.

Big Data 130

Big Data Big Data Data Engineering Data Engineer 130

Data Science Blog

FEBRUARY 4, 2023

The machine sensor data can be monitored directly in real time via respective data pipelines (real-time stream analytics) or brought into an overall picture of aggregated key figures (reporting). The readers of this data are not only people, but also individual machines or entire production plants that can react to this data.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

phData

SEPTEMBER 2, 2024

In this blog, we will cover the best practices for developing jobs in Matillion, an ETL/ELT tool built specifically for cloud database platforms. Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP. Some of the supported ones for the Matillion ETL/ELT are GitHub , Bitbucket , and Azure DevOps.

ETL 52

ETL Data Warehouse SQL Database 52

Pickl AI

NOVEMBER 4, 2024

ETL Processes In Extract, Transform, Load (ETL) operations, ODBC facilitates the extraction of data from source databases, transformation of data into the desired format, and loading it into target systems, thus streamlining data warehousing efforts. Another trend is the rise of NoSQL databases.

Database 52

Database SQL ETL Azure 52

phData

FEBRUARY 21, 2025

A data warehouse enables advanced analytics, reporting, and business intelligence. Examples include: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Complex data transformations and ETL/ELT pipelines with significant data movement can see increases in latency.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

How to Learn Machine Learning

APRIL 26, 2025

Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. Their job is to ensure that data is made available, trusted, and organizedall of which are required for any analytics or machine-learning task.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

phData

APRIL 29, 2024

Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen. Some even provide a relational layer specifically designed for analytics, while others expose APIs. and delivers them to analytics platforms downstream.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Pickl AI

MARCH 19, 2025

It is commonly used for analytics and business intelligence, helping organisations make data-driven decisions. Google BigQuery Google BigQuery is a fully managed data warehouse that enables real-time analytics on large datasets. Some of them include: Elasticsearch : A search and analytics engine used for log and text analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

JANUARY 18, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Learn more about the cloud. Stay on top of data engineering trends.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

phData

FEBRUARY 14, 2023

Fivetran is the answer for anyone looking to focus their efforts on analytics and not pipeline management. If using a network policy with Snowflake, be sure to add Fivetran’s IP address list , which will ensure Azure Data Factory (ADF) Azure Data Factory is a fully managed, serverless data integration service built by Microsoft.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

IBM Journey to AI blog

JANUARY 18, 2023

While traditional data warehouses made use of an Extract-Transform-Load (ETL) process to ingest data, data lakes instead rely on an Extract-Load-Transform (ELT) process. This adds an additional ETL step, making the data even more stale. One node of the fabric may provide raw data to another that, in turn, performs analytics.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

DECEMBER 16, 2024

Summary : Microsoft Fabric is an end-to-end Data Analytics platform designed for integration, processing, and advanced insights, while Power BI excels in creating interactive visualisations and reports. Fabric integrates advanced analytics, and Power BI delivers easy-to-use dashboards. What is Microsoft Fabric?

Power BI 52

Power BI Analytics Analytics Machine Learning 52

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Read Many of the preferred platforms for analytics fall into one of these two categories.

Data Warehouse 59

Data Warehouse Data Lakes Hadoop Big Data 59