Smart Data Collective

JANUARY 10, 2023

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. Business intelligence tools can help you with this task.

Business Intelligence 124

Business Intelligence Business Intelligence Internet of Things Analytics 124

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used. Click to enlarge!

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Data Modeling Data Models Business Intelligence Business Intelligence 245

Flipboard

JUNE 17, 2025

Using AI tools and platforms like Google Cloud AI, Microsoft Azure, and AWS Machine Learning can streamline development and optimize resources for a one-person AI business. Using AI Tools and Platforms Efficiency is paramount when managing a one-person business.

AI 73

AI Machine Learning Machine Learning AI 73

Smart Data Collective

SEPTEMBER 8, 2021

The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements. ETL is one of the most integral processes required by Business Intelligence and Analytics use cases since it relies on the data stored in Data Warehouses to build reports and visualizations.

ETL 126

ETL Hadoop Data Warehouse Data Pipeline 126

phData

JUNE 5, 2025

All Some None My customers span across multiple Cloud Platforms No Yes (AWS and Azure) Yes (AWS, Azure, and GCP) Does the application need load balancing, failure recovery, or replication? Snowflake integrates with industry-standard Business Intelligence tools like Sigma for more powerful dashboards.

Database 52

Database Azure AWS SQL 52

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.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Pickl AI

FEBRUARY 23, 2025

Amazon EMR (Elastic MapReduce) Amazon EMR is a cloud-native Big Data platform that simplifies running Big Data frameworks such as Apache Hadoop and Apache Spark on AWS. Statistics : According to AWS reports, EMR reduces the time required for Big Data processing tasks by up to 90% compared to traditional methods.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Smart Data Collective

APRIL 29, 2020

AWS Glue helps users to build data catalogues, and Quicksight provides data visualisation and dashboard construction. The services from AWS can be catered to meet the needs of each business user. SharePoint from Microsoft is a flexible solution that businesses can use for data storage and retrieval. Microsoft Azure.

Data Warehouse 99

Data Warehouse Azure SQL ETL 99

Pickl AI

NOVEMBER 18, 2024

Industry-recognised certifications, like IBM and AWS, provide credibility. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise. Key Features: In-Depth AWS Training: Learn about AWS Glue, Athena, Redshift, and more. Course Duration: 26.5

Data Analyst 110

Data Analyst SQL Python AWS 110

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

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. Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources.

Big Data 130

Big Data Big Data Data Engineering Data Engineering 130

How to Learn Machine Learning

APRIL 26, 2025

The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark). AI Product Manager Manages AI-driven product development, requiring technical and business expertise.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 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).

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52

Pickl AI

APRIL 9, 2025

This process ensures that organizations can consolidate disparate data sources into a unified repository for analytics and reporting, thereby enhancing business intelligence. Integration : Can it connect with existing systems like AWS, Azure, or Google Cloud? What are ETL Tools?

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

Pickl AI

MARCH 19, 2025

It is commonly used for analytics and business intelligence, helping organisations make data-driven decisions. It allows businesses to store and analyse large datasets without worrying about infrastructure management. Looker : A business intelligence tool for data exploration and visualization.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

IBM Journey to AI blog

DECEMBER 1, 2023

This relatively new system offers a centralized platform with applications to manage all aspects of your business from supply chain management to inventory management to financial management. An example of a hybrid ERP solution is AWS.

AWS 109

AWS Azure Business Intelligence Business Intelligence 109

ODSC - Open Data Science

FEBRUARY 6, 2024

Cloud-Based Orchestration Tools While open-source tools are powerful, cloud-based orchestration services like AWS Glue, Azure Data Factory, and Google Cloud Dataflow offer managed solutions that reduce the burden of infrastructure management.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. You can also share insights across organizations.

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Big Data Big Data Power BI Tableau 52

Cambridge Intelligence

OCTOBER 19, 2023

In this post, we’ll take a look at some of the factors you could investigate, and introduce the six databases our customers work with most often: Amazon Neptune ArangoDB Azure Cosmos DB JanusGraph Neo4j TigerGraph Why these six graph databases? Here, performance for writing to the database is important.

Database 59

Database Azure Analytics Analytics 59

DataRobot

SEPTEMBER 14, 2021

Ensuring you can harness the power of your data, wherever it lives, you can implement DataRobot with major cloud providers including AWS , Google Cloud , and Azure. A Broad Set of Users: Integrate your preferred business intelligence partners and enterprise applications seamlessly to unite technical and non-technical users.

Tableau 52

Tableau AI AI Azure 52

IBM Journey to AI blog

JANUARY 18, 2023

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. It can be codified.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

Database 101

Database SQL Data Warehouse Machine Learning 101

Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. But early adopters realized that the expertise and hardware needed to manage these systems properly were complex and expensive. So how did providers respond?

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 52

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 Engineer Data Engineering 52

phData

SEPTEMBER 19, 2023

Thankfully, there are tools available to help with metadata management, such as AWS Glue, Azure Data Catalog, or Alation, that can automate much of the process. As mentioned above, AWS Glue is a fully managed metadata catalog service provided by AWS. What are the Best Data Modeling Methodologies and Processes?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

phData

FEBRUARY 13, 2024

This highly customizable and scalable solution enables businesses to tailor the software to their specific needs, providing tools for business intelligence, reporting, and seamless integration with other systems. What is SNP Glue?

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59

IBM Journey to AI blog

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

phData

JANUARY 31, 2024

Where Streamlit shines is creating interactive applications, not typical business intelligence dashboards and reporting. Streamlit, an open-source Python package for building web-apps, has grown in popularity since its launch in 2019. that were previously all needed to put your app into production.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

IBM Journey to AI blog

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. trillion in value.

AI 90

AI AI Machine Learning Machine Learning 90

Pickl AI

DECEMBER 10, 2024

Exalytics: The In-Memory Analytics Machine Oracle Exalytics is a pioneering solution for in-memory analytics and business intelligence. By leveraging cutting-edge hardware and software integration, Exalytics enables businesses to analyse large datasets in real-time.

Database 52

Database Analytics Analytics Business Intelligence 52

The MLOps Blog

MAY 17, 2023

Further processes or workflows can then easily utilize this data to create business intelligence and analytics solutions. Cloud providers such as AWS, Microsoft Azure, and GCP offer a range of tools and services that can be used to build these pipelines.

ETL 59

ETL Data Pipeline ML ML 59

Dataversity

MARCH 29, 2021

It has taken a global pandemic for organizations to finally realize that the old way of doing businesses – and the legacy technologies and processes that came with it – are no longer going to cut it. The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. As […].

DataOps 94

DataOps Data Lakes Azure Cloud Data 94

phData

SEPTEMBER 25, 2024

It can be hosted on major cloud platforms like AWS, Azure, and GCP. It simplifies the setup process for data integration, business intelligence, data preparation, and other functionalities with just a few clicks. Snowflake is highly flexible and scalable without affecting the performance of large data sets.

ETL 52

ETL Database Data Warehouse Analytics 52

Pickl AI

APRIL 2, 2024

There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Cloud Platforms (AWS, Azure, Google Cloud): Infrastructure for scalable and cost-effective data storage and analysis.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

databricks

JUNE 12, 2025

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

SQL 248

SQL Data Engineering Data Engineering Data Engineer 248

Data Science Blog

FEBRUARY 7, 2023

Das Format Business Talk am Kudamm in Berlin führte ein Interview mit Benjamin Aunkofer zum Thema “Business Intelligence und Process Mining nachhaltig umsetzen”. 3 – Bei der Nutzung von Daten fallen oft die Begriffe „Process Mining“ und „Business Intelligence“. Für Data Science ja sowieso. Umsatz-Forecasts.

Business Intelligence 286

Business Intelligence Business Intelligence Data Warehouse Data Lakes 286