Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

DrivenData Labs

MARCH 26, 2024

an initiative that seeks to simplify the code documentation process for software developers by utilizing machine learning for automation. Nicholas is a Cost Analyst with the Hunatek Professional Services Business Analytics Team, where he works on developing cost models and other analytical products. He holds a B.S.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

Pickl AI

AUGUST 9, 2024

Real-world examples illustrate their application, while tools and technologies facilitate effective hierarchical data management in various industries. One of the key components of dimensional modelling is the concept of hierarchies. Support for Business Processes Many business processes are inherently hierarchical (e.g.,

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Track models and drive transparent processes.

AI 88

AI AI Data Warehouse ML 88

Tableau

DECEMBER 1, 2021

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. This allows you to explore features spanning more than 40 Tableau releases, including links to release documentation. .

Tableau 145

Tableau ML ML Database 145

phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. Leverage dbt’s `test` macros within your models and add constraints to ensure data integrity between data vault entities.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

Alation

JULY 19, 2022

The traditional data science workflow , as defined by Joe Blitzstein and Hanspeter Pfister of Harvard University, contains 5 key steps: Ask a question. Get the data. Explore the data. Model the data. A data catalog can assist directly with every step, but model development.

Data Scientist 59

Data Scientist Data Quality Data Science Data Analyst 59

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Data warehousing is a vital constituent of any business intelligence operation.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Cambridge Intelligence

OCTOBER 19, 2023

The answer probably depends more on the complexity of your queries than the connectedness of your data. Relational databases (with recursive SQL queries), document stores, key-value stores, etc., Multi-model databases combine graphs with two other NoSQL data models – document and key-value stores.

Database 59

Database Azure Analytics Analytics 59

Pickl AI

AUGUST 11, 2024

Consider factors such as data volume, query patterns, and hardware constraints. Document and Communicate Maintain thorough documentation of fact table designs, including definitions, calculations, and relationships. These tools are essential for populating fact tables with accurate and timely data.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

SEPTEMBER 2, 2024

Understanding Power BI and Its Importance Power BI is a suite of business analytics tools that allows users to analyze data and share insights. It provides interactive visualizations and business intelligence capabilities with a simple interface for end users to create their own reports and dashboards.

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 52

Tableau

DECEMBER 1, 2021

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. This allows you to explore features spanning more than 40 Tableau releases, including links to release documentation. .

Tableau 98

Tableau ML ML Database 98

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Early on, analysts used data catalogs to find and understand data more quickly. Having good data is crucial to creating golden records.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

Pickl AI

JUNE 29, 2023

Machine Learning and Predictive Analytics Splunk integrates with machine learning frameworks and enables the application of predictive analytics to identify patterns and anomalies and predict future events based on historical data. Therefore, it helps in presenting data-driven insights to stakeholders and enables effective decision-making.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Regularly reviewing the framework and adjusting it based on feedback, new regulations or changes in business strategy fosters a culture that values data as a strategic asset, supporting effective business intelligence and data use across the organization. Compliance All processes must be auditable.

Data Governance 75

Data Governance Data Quality DataOps Artificial Intelligence 75

Pickl AI

DECEMBER 17, 2024

The community also offers extensive documentation, tutorials, and troubleshooting resources, fostering widespread adoption. PostgreSQL is ideal for applications requiring complex data handling, high scalability, and custom functionalities. PostgreSQLs architecture is highly flexible, supporting many data models and workloads.

Database 52

Database SQL Analytics Analytics 52

The MLOps Blog

JANUARY 11, 2023

The result of this assessment process led to conceptualizing and designing a framework that offers an environment for building, managing, and automating processes or workflows with which the data, models, and code Ops based on the needs of individuals and across teams can be realized. CloudWatch for cost tracking.

AWS 52

AWS Machine Learning Machine Learning ML 52

Pickl AI

OCTOBER 16, 2024

Data Model : RDBMS relies on a structured schema with predefined relationships among tables, whereas NoSQL databases use flexible data models (e.g., key-value pairs, document-based) that accommodate unstructured data. It’s popular in corporate environments for Data Analysis and Business Intelligence.

Database 52

Database SQL Big Data Analytics 52

Alation

SEPTEMBER 7, 2021

Alation TrustCheck provides quality flags that signal endorsement, warning, or deprecation; this gives you instant understanding of quality and helps you trust data. Data quality details signal to users whether data can be trusted or used. Operationalize data governance at scale. In Summary.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

phData

MAY 11, 2023

When a new entrant to ETL development reads this article, they could easily have mastered Matillion Designer’s methods or read through the Matillion Versioning Documentation to develop their own approach to ZDLC. One scenario could be multiple team members who will each work on ingesting and processing data from one of the source systems.

ETL 52

ETL Analytics Analytics Data Modeling 52

DagsHub

NOVEMBER 11, 2024

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. What is Unstructured Data? These AI models use multimedia data to understand and improve more complicated information.

AI 52

AI AI Data Lakes Database 52

phData

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications. It should also enable easy sharing of insights across the organization.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Pickl AI

MARCH 19, 2025

It is widely used for storing and managing structured data, making it an essential tool for data engineers. MongoDB MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

JANUARY 19, 2025

This consistency makes SQL a primary choice for data-driven applications, including business intelligence, analytics, and web development. You can create tables and define their relationships with primary and foreign keys, ensuring data integrity and accuracy.

SQL 52

SQL Database Clustering Analytics 52