ODSC - Open Data Science

JANUARY 18, 2024

These areas may include SQL, database design, data warehousing, distributed systems, cloud platforms (AWS, Azure, GCP), and data pipelines. Microsoft Azure in particular allows users to explore the Azure ecosystem and provides on-site training for users of all levels. Learn more about the cloud.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

SEPTEMBER 10, 2024

Introduction Artificial Intelligence (AI) is revolutionising how we use Excel, making data management faster and more efficient. AI in Excel integrates Artificial Intelligence tools and features into Microsoft Excel to enhance data processing, analysis, and decision-making. What is AI in Excel?

Power BI 52

Power BI Data Analysis Data Analysis AI 52

phData

SEPTEMBER 25, 2024

While numerous ETL tools are available on the market, selecting the right one can be challenging. There are a few Key factors to consider when choosing an ETL tool, which includes: Business Requirement: What type or amount of data do you need to handle? It can be hosted on major cloud platforms like AWS, Azure, and GCP.

ETL 52

ETL Database Data Warehouse Analytics 52

IBM Journey to AI blog

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”. Data fabric: A mostly new architecture.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Together, data engineers, data scientists, and machine learning engineers form a cohesive team that drives innovation and success in data analytics and artificial intelligence. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Precisely

MAY 23, 2024

The sudden popularity of cloud data platforms like Databricks , Snowflake , Amazon Redshift, Amazon RDS, Confluent Cloud , and Azure Synapse has accelerated the need for powerful data integration tools that can deliver large volumes of information from transactional applications to the cloud reliably, at scale, and in real time.

Data Governance 64

Data Governance ETL Data Pipeline Azure 64

ODSC - Open Data Science

APRIL 6, 2023

These are used to extract, transform, and load (ETL) data between different systems. Many cloud providers, such as Amazon Web Services and Microsoft Azure, offer SQL-based database services that can be used to store and analyze data in the cloud. Data integration tools allow for the combining of data from multiple sources.

SQL 98

SQL Data Scientist Database Data Science 98

Pickl AI

JULY 25, 2024

Enhanced Data Utilisation Effective ingestion unlocks the full potential of data by making it available for advanced analytics, machine learning, and artificial intelligence applications, driving innovation and business growth. AWS Glue A fully managed ETL service that makes it easy to prepare and load data for analytics.

Apache Kafka 52

Apache Kafka Data Lakes Data Warehouse Data Quality 52

Precisely

MAY 23, 2024

The sudden popularity of cloud data platforms like Databricks , Snowflake , Amazon Redshift, Amazon RDS, Confluent Cloud , and Azure Synapse has accelerated the need for powerful data integration tools that can deliver large volumes of information from transactional applications to the cloud reliably, at scale, and in real time.

Data Governance 52

Data Governance ETL Data Pipeline Azure 52

Pickl AI

DECEMBER 16, 2024

Data Factory : Simplifies the creation of ETL pipelines to integrate data from diverse sources. Data Handling Fabric excels in handling large-scale data operations, integrating with Microsofts OneLake for unified storage and offering tools like Data Factory for seamless ETL (Extract, Transform, Load) processes.

Power BI 52

Power BI Analytics Analytics Machine Learning 52

Pickl AI

APRIL 26, 2024

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Data Warehousing and ETL Processes What is a data warehouse, and why is it important? Explain the Extract, Transform, Load (ETL) process.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

DagsHub

NOVEMBER 11, 2024

This is where artificial intelligence steps in as a powerful ally. In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition.

AI 52

AI AI Data Lakes Database 52

Pickl AI

MARCH 10, 2025

Power Query Power Query is a powerful ETL (Extract, Transform, Load) tool within Power BI that helps users clean and transform raw data into usable formats. Scalability for Large Datasets Power BI can handle massive datasets efficiently using its in-memory analytics engine and Azure integration.

Power BI 52

Power BI Business Intelligence Business Intelligence Analytics 52

phData

JULY 18, 2023

This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. Business-Focused Operation Model: Teams can shed countless hours of managing long-running and complex ETL pipelines that do not scale.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 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! leadership in artificial intelligence, focusing on innovation, infrastructure, national security, and intellectual property. Register by Friday for 30%off.

ETL 52

ETL Data Science Machine Learning Machine Learning 52