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

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 98

Data Warehouse SQL Azure ETL 98

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 Engineer 130

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

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 Engineer Data Engineering Data Engineering 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 SQL 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.

AI 52

AI AI Tableau 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 Engineer Data Engineering 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

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 AWS 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 26, 2024

It is essential to provide a unified data view and enable business intelligence and analytics. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

DagsHub

NOVEMBER 11, 2024

Platforms like Azure Data Lake and AWS Lake Formation can facilitate big data and AI processing. They are ideal for big data analytics and ML, thus allowing complete exploration of data and business intelligence.

AI 52

AI AI Data Lakes Database 52

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

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.

Big Data 52

Big Data Big Data Power BI Tableau 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

phData

NOVEMBER 13, 2023

dbt Explorer is a feature-rich tool for users with multi-tenant or AWS single-tenant dbt Cloud accounts on the Team or Enterprise plan, providing comprehensive lineage and metadata analysis capabilities. Figure 3: Multi-project lineage graph with dbt explorer. Source: Dave Connor's Loom.

Database 52

Database Business Intelligence Business Intelligence Data Silos 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

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 SQL 52

The MLOps Blog

MARCH 21, 2023

Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate. If your organization runs its workloads on AWS , it might be worth it to leverage AWS SageMaker.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

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

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 Engineer Data Engineering Data Engineering 52