Precisely

MARCH 10, 2023

Accurate physical addresses play a vital role in most business analytics. This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade. Consequently, there is a growing demand for scalable analytics.

Data Warehouse 59

Data Warehouse Analytics Analytics Big Data 59

IBM Journey to AI blog

OCTOBER 2, 2024

Data products are managed, governed collections of datasets, dashboards and reusable queries. They are designed to be readily used by business executives, business analysts, data analysts and other data consumers for analytics, AI and other critical data workloads.

Business Intelligence 58

Business Intelligence Business Intelligence Power BI Data Quality 58

IBM Journey to AI blog

NOVEMBER 3, 2023

When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.

Apache Kafka 79

Apache Kafka Data Warehouse Data Pipeline Big Data 79

IBM Journey to AI blog

AUGUST 3, 2023

IBM Security® Discover and Classify (ISDC) is a data discovery and classification platform that delivers automated, near real-time discovery, network mapping and tracking of sensitive data at the enterprise level, across multi-platform environments.

Azure 71

Azure Database Analytics Analytics 71

Tableau

DECEMBER 7, 2022

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Salesforce Data Cloud for Tableau solves those challenges.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

Pickl AI

APRIL 26, 2024

Additionally, it delves into case study questions, advanced technical topics, and scenario-based queries, highlighting the skills and knowledge required for success in data analytics roles. Additionally, we’ve got your back if you consider enrolling in the best data analytics courses.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Tableau

MARCH 9, 2021

They also adapted to all-digital engagement by hosting webinars, digital meetups, and Tableau Days to bring the power of Tableau to potential customers in new ways, passing >400 leads to Tableau which created a multi-million dollar pipeline. Thank you FedResults! Services Partner of the Year: Accenture (EMEA).

Tableau 52

Tableau AWS Data Warehouse SQL 52

Alation

FEBRUARY 20, 2020

After a blockbuster premiere at the Strata Data Conference in New York, the tour will take us to six different states and across the pond to London. After putting up a scintillating show at the Strata Data Conference in New York, Alation is touring Dreamforce in San Francisco. Data Catalogs Are the New Black.

Machine Learning 52

Machine Learning Machine Learning Analytics Analytics 52

Pickl AI

JULY 3, 2023

Becoming a Business Intelligence (BI) Developer requires a combination of technical skills, knowledge of BI concepts, and experience working with data. Familiarize yourself with data analysis techniques and tools. Stay updated on industry trends: BI technologies and practices evolve rapidly.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Flipboard

DECEMBER 6, 2023

The Q4 Platform facilitates interactions across the capital markets through IR website products, virtual events solutions, engagement analytics, investor relations Customer Relationship Management (CRM), shareholder and market analysis, surveillance, and ESG tools. Use case overview Q4 Inc.,

SQL 168

SQL Database AWS Machine Learning 168

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

SEPTEMBER 5, 2024

Introduction Data Science is revolutionising industries by extracting valuable insights from complex data sets, driving innovation, and enhancing decision-making. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. She adds that whenever she talks about data mesh, “I focus on the people piece of it, because it’s people who are actually going to drive it forward.” Together they noted these major lessons from executing the data mesh: 1.

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

Alation

APRIL 25, 2023

This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. Data Extraction If you choose to maintain ownership of your data, you’ll need a way to transfer it from your central data warehouse to the operational tool that’ll help put it to use. Keen to learn more?

Data Governance 52

Data Governance ETL Machine Learning Natural Language Processing 52

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. These two resources can help you get started: White paper: How to Evaluate a Data Catalog. Webinar: Five Must-Haves for a Data Catalog.

DataOps 52

DataOps SQL ML ML 52

Alation

APRIL 25, 2023

This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. Data Extraction If you choose to maintain ownership of your data, you’ll need a way to transfer it from your central data warehouse to the operational tool that’ll help put it to use. Keen to learn more?

Data Governance 40

Data Governance ETL Machine Learning Natural Language Processing 40

ODSC - Open Data Science

NOVEMBER 22, 2023

Data Version Control for Data Lakes: Handling the Changes in Large Scale In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management.

Data Lakes 52

Data Lakes Predictive Analytics AI AI 52