datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

AWS Big Data

APRIL 25, 2024

As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A. Cross-account access has been set up between S3 buckets in Account A with resources in Account B to be able to load and unload data. For more information, see Accessing an Amazon MWAA environment.

Metadata 104

Metadata Data Processing Management Testing 104

Cloudera

APRIL 21, 2021

Our support organization uses a custom case-tracking system built on our software to interact with customers. We did add some additional capacity to make parts of the testing and validation process easier, but many clusters can upgrade with no additional hardware. The CDP Upgrade Advisor identified most of these for us. Life on CDP.

Testing 121

Testing Data Processing Interactive Data Warehouse 121

AWS Big Data

NOVEMBER 8, 2023

Delve into tips and best practices essential to navigating the challenges and pitfalls inherent to distributed systems that arise along the way, and observe how AWS services work and interact. Design serverless data processing pipelines and extract valuable insights from real-time data streams. Reserve your seat now!

Data-driven 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

AWS Big Data

FEBRUARY 19, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Thousands of customers use Amazon Redshift read data sharing to enable instant, granular, and fast data access across Redshift provisioned clusters and serverless workgroups.

Cost-Benefit 85

Cost-Benefit Data Warehouse Marketing Interactive 85

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Sisense

FEBRUARY 16, 2021

The primary aim when building a model is to transform complex, raw, real-world data into a coherent picture that can be used to answer likely questions from the business. . Designers, engineers, and analysts see data in different ways. Data warehouses have become intensely important in the modern business world.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. It will indicate whether data is void of significant errors. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

FEBRUARY 21, 2023

Toucan natively integrates with Redshift Serverless, which enables you to deploy a scalable data stack in minutes without the need to manage any infrastructure component. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Cloudera

SEPTEMBER 12, 2018

Commonwealth Bank of Australia worked with Cloudera to implement a modern data platform with an AI-powered customer decisioning layer that dramatically improves how the bank interacts with its customers. The bank brought together 27 billion data points and uses AI to understand the next-best conversation 21 million times each weekday.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

APRIL 8, 2024

In our recent  webcast , IBM, AWS, customers and partners came together for an interactive session. Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS

Snapshot 68

Snapshot Data Warehouse Data Processing Management 68

Domino Data Lab

JULY 2, 2019

Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14). Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Yes—but basic dashboards won’t be enough.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

APRIL 3, 2019

Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. Most of the data management moved to back-end servers, e.g., databases. Increasingly, these were simply web servers.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

JULY 17, 2023

While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases. offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting. for free.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. The customer also attempted to run it in a data warehouse, which wasn’t good at low latency streaming data ingestion and low latency query support.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70