AWS Big Data

MAY 2, 2024

Amazon Redshift recently announced integration with Visual Studio Code (), an action that transforms the way data practitioners engage with Amazon Redshift and reshapes your interactions and practices in data management. Set up a Amazon Redshift or Amazon Redshift serverless data warehouse. Virginia)).

Visualization 89

Visualization Data Warehouse Data-driven Management 89

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 76

Data Warehouse Sales Visualization Data Processing 76

O'Reilly on Data

FEBRUARY 19, 2021

With more businesses migrating their data infrastructure to the cloud, as well as the increase of open source projects driving innovation in cloud data lakes, these will remain on the radar in 2021. Cloud data warehouse engineering develops as a particular focus as database solutions move more and more to the cloud.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

AWS Big Data

DECEMBER 5, 2023

To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 95

Data Lake Data Warehouse Machine Learning Cost-Benefit 95

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 91

Data Lake Data Warehouse Machine Learning Cost-Benefit 91

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. The user permissions are evaluated using AWS Lake Formation to filter the relevant data.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Cloudera Data Warehouse and Rill Data—built on Apache Hive and Druid, respectively—can be connected using the Hive-Druid Integration. Cloudera Data Warehouse).

Metrics 84

Metrics Slice and Dice Data Warehouse Dashboards 84

Smart Data Collective

MAY 31, 2022

Data activation is a new and exciting way that businesses can think of their data. It’s more than just data that provides the information necessary to make wise, data-driven decisions. It’s more than just allowing access to data warehouses that were becoming dangerously close to data silos.

Data Warehouse 134

Data Warehouse Big Data Data-driven Technology 134

Smart Data Collective

JUNE 15, 2021

It’s also possible to employ extra caching or materialized views in the data warehouse in addition to caching in Looker (depending on the capability of your data warehouse). However, caching is usually ineffective for interactive and ad hoc searches – something to bear in mind. 3 – Aggregate your data.

Data Warehouse 96

Data Warehouse Dashboards Optimization Metrics 96

DataKitchen

AUGUST 3, 2021

The past decades of enterprise data platform architectures can be summarized in 69 words. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Note, this is based on a post by Zhamak Dehghani of Thoughtworks. .

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. DSS software system.

Data mining 141

Data mining Data-driven Statistics OLAP 141

IBM Big Data Hub

NOVEMBER 6, 2023

Enterprises should create personalized experiences for SMBs based on qualitative and quantitative data As SMBs become more cautious about their spending, the enterprises that serve them must drive value through increased personalization. Watsonx.data allows enterprises to centrally gather, categorize and filter data from multiple sources.

Cost-Benefit 109

Cost-Benefit Enterprise ROI Data Warehouse 109

Dataiku

FEBRUARY 9, 2022

To facilitate full systemization of data and AI, it is important to allow as many users to access , interact with, and gather insights from relevant data as possible.

Data Warehouse 59

Data Warehouse Analytics Interactive IT 59

O'Reilly on Data

AUGUST 18, 2020

We’ll share why in a moment, but first, we want to look at a historical perspective with what happened to data warehouses and data engineering platforms. Lessons Learned from Data Warehouse and Data Engineering Platforms. This is an open question, but we’re putting our money on best-of-breed products.

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Andrew White

MARCH 22, 2021

Click here for an interactive PDF to connect to the notes directly. Henry Cook scores his first “number 1” hit this year with this iteration of The Practical Logical Data Warehouse that was published in December 2020.

Data Warehouse 52

Data Warehouse Analytics Data Analytics Interactive 52

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

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. venvScriptsactivate.bat After this step, the subsequent steps run within the bounds of the virtual environment on the client machine and interact with the AWS account as needed.

Metrics 101

Metrics Visualization Dashboards Interactive 101

datapine

SEPTEMBER 27, 2022

The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design. 6) “SQL: QuickStart Guide – The Simplified Beginner’s Guide To SQL” By Clydebank Technology. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Cloudera Machine Learning . Time travel.

Snapshot 90

Snapshot Data Warehouse Machine Learning Cost-Benefit 90

AWS Big Data

NOVEMBER 10, 2023

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency.

Data Processing 89

Data Processing Data Lake Data Warehouse Optimization 89

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Delta Lake doesn’t have a specific concept for incremental queries.

Data Lake 109

Data Lake Data Warehouse Visualization Snapshot 109

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 95

Data Warehouse Testing Data Lake Data-driven 95

Cloudera

SEPTEMBER 30, 2020

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.

Visualization 69

Visualization Data Warehouse Dashboards Data Processing 69

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. AWS Glue is a fully managed ETL service that makes it easy to prepare and load data for analysis.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

Andrew White

MARCH 2, 2020

Click here for an interactive PDF to connect to the most read data and analytics research directly. Henry Cook’s new note about automating data warehouse development entered the charts last week and this week moved up to top spot. This list excludes our branded research such as Magic Quadrants etc.

Data Warehouse 52

Data Warehouse Analytics Interactive 52

Andrew White

MARCH 2, 2020

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc.

Data Lake 59

Data Lake Data Warehouse Analytics Interactive 59

datapine

MAY 21, 2019

In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. Odds are, businesses are currently analyzing their data, just not in the most effective manner. 7) Dealing with the impact of poor data quality.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 66

Analytics Data Warehouse Data Lake Data-driven 66

IBM Big Data Hub

SEPTEMBER 11, 2023

Watsonx.data on AWS: Imagine having the power of data at your fingertips. watsonx.data is a software-as-a-service (SaaS) offering that revolutionizes data management. This partnership allowed them to enhance customer service, gaining insights that reshape how they interact with their clients.

Data-driven 112

Data-driven Insurance Digital Transformation Data Warehouse 112