AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. Refer to Easy analytics and cost-optimization with Amazon Redshift Serverless to get started. For this post, we use Redshift Serverless. Choose Run all on each notebook tab.

Metadata 98

Metadata Sales Data Warehouse Optimization 98

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. In this post, we describe how Redshift Serverless utilizes the new AI-driven scaling and optimization capabilities to address common use cases.

Optimization 90

Optimization Data Lake Data Warehouse Cost-Benefit 90

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

NOVEMBER 22, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. Maintaining reusable database sessions to help optimize the use of database connections, preventing the API server from exhausting the available connections and improving overall system scalability.

Data Warehouse 94

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 94

AWS Big Data

OCTOBER 30, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze your data using standard SQL and your existing business intelligence (BI) tools. Data ingestion is the process of getting data to Amazon Redshift.

Data Warehouse 91

Data Warehouse Sales Data Lake Recreation/Entertainment 91

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks. Azure DevOps.

Testing 300

Testing Machine Learning Consulting Data Science 300

datapine

SEPTEMBER 27, 2022

Plus, knowing the best way to learn SQL is beneficial even for those who don’t deal directly with a database: Business Intelligence software , such as datapine, offers intuitive drag-and-drop interfaces, allowing for superior data querying without any SQL knowledge. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

datapine

JANUARY 24, 2021

Although organizations spend millions of dollars on collecting and analyzing data with various data analysis tools , it seems like most people have trouble actually using that data in actionable, profitable ways. Your Chance: Want to perform advanced data analysis with a few clicks? 3) Where will your data come from?

IT 317

IT Statistics KPI Data-driven 317

AWS Big Data

NOVEMBER 22, 2024

Important considerations for preview As you begin using automated Spark upgrades during the preview period, there are several important aspects to consider for optimal usage of the service: Service scope and limitations – The preview release focuses on PySpark code upgrades from AWS Glue versions 2.0 to version 4.0.

Cost-Benefit 97

Cost-Benefit Data-driven Software Testing 97

datapine

FEBRUARY 10, 2021

Likes, comments, shares, reach, CTR, conversions – all have become extremely significant to optimize and manage regularly in order to grow in our competitive digital environment. You need to know how the audience responds, whether you need further adjustments, and how to gather accurate, real-time data. We offer a 14-day trial.

Dashboards 193

Dashboards Scorecard KPI Metrics 193

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. a) Data Connectors Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. Benefits Of Business Intelligence Software.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

JANUARY 6, 2025

In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 95

Analytics Data Warehouse Big Data Metrics 95

Cloudera

JANUARY 11, 2021

Requests for IT resources for data and compute services can’t be delayed three to six months, which is how long the typical procurement cycle, machine configuration, and software installation takes. How self-service data warehousing frees IT resources. SDX is also the key to serve multiple workloads on the same data.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Machine Learning 63

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Smart Data Collective

JUNE 6, 2021

If your company deals with hundreds or thousands of customers, optimal productivity, budgeting and customer satisfaction should be at the top of your priority list. Achieving your company’s target goals can, however, be difficult if you’re unable to access all the relevant and useful data your business has. What is big data used for?

Big Data 137

Big Data Data Analytics Analytics Cost-Benefit 137

AWS Big Data

APRIL 19, 2023

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. The rise of cloud object storage has driven the cost of data storage down.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

AWS Big Data

MAY 16, 2024

Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis. Indexed data can be quickly joined across different datasets and aggregated at different levels of precision.

Data Warehouse 118

Data Warehouse Visualization Cost-Benefit Data-driven 118

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 111

Data Warehouse Cost-Benefit Dashboards Optimization 111

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

AWS Big Data

SEPTEMBER 11, 2024

Aruba offers networking hardware like access points, switches, routers, software, security devices, and Internet of Things (IoT) products. The data sources include 150+ files including 10-15 mandatory files per region ingested in various formats like xlxs, csv, and dat. The following diagram illustrates the solution architecture.

Data Architecture 98

Data Architecture Optimization Data Warehouse Metadata 98

datapine

JULY 1, 2020

Try our professional reporting software for 14 days, completely free! Ad hoc reporting, also known as one-time ad hoc reports, helps its users to answer critical business questions immediately by creating an autonomous report, without the need to wait for standard analysis with the help of real-time data and dynamic dashboards.

Reporting 260

Reporting Dashboards Cost-Benefit Visualization 260

AWS Big Data

DECEMBER 12, 2024

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. AWS Glue crawler crawls data lake information from Amazon S3, generating a Data Catalog to support dbt on Amazon Athena data modeling.

Snapshot 81

Snapshot Recreation/Entertainment Experimentation Data Lake 81

CIO Business Intelligence

APRIL 9, 2025

According to Fortune Business Insights approximately 67% of the global workforce has access to business intelligence (BI) tools, and 75% has access to data analytics software. So why would any organization that considers a decision critical use business intelligence data to make that decision?

Enterprise 96

Enterprise Analytics Experimentation Statistics 96

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 115

Data Warehouse Analytics Data Lake Machine Learning 115

Sisense

APRIL 9, 2021

Until then though, they don’t necessarily want to spend the time and resources necessary to create a schema to house this data in a traditional data warehouse. Instead, businesses are increasingly turning to data lakes to store massive amounts of unstructured data. The rise of data warehouses and data lakes.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Structured Data 52

Smart Data Collective

OCTOBER 27, 2021

Snowflake provides the right balance between the cloud and data warehousing, especially when data warehouses like Teradata and Oracle are becoming too expensive for their users. It is also easy to get started with Snowflake as the typical complexity of data warehouses like Teradata and Oracle are hidden from the users. .

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

datapine

MAY 21, 2019

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. These past BI issues may discourage them to adopt enterprise-wide BI software. SMEs are discouraged by the prohibitive costs of acquiring the right software.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

CIO Business Intelligence

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

Smart Data Collective

OCTOBER 13, 2021

Data visualization is a concept that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that may go unnoticed in text-based data can be more easily exposed and recognized with data visualization software.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Try our professional BI software for 14 days, completely free! Actually, it usually isn’t.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Cloudera

SEPTEMBER 10, 2018

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. We are tracking very interesting development in areas like security, catalogs, data masking and more.

Data Warehouse 43

Data Warehouse Unstructured Data Internet of Things Enterprise 43

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 105

Data Lake Data Warehouse Data-driven B2B 105

CIO Business Intelligence

JANUARY 20, 2023

Organizations are making great strides, putting into place the right talent and software. Most have been so drawn to the excitement of AI software tools that they missed out on selecting the right hardware. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. This will be your OLTP data store for transactional data. version cluster.

Data Warehouse 132

Data Warehouse Dashboards Risk Management Risk 132

erwin

SEPTEMBER 26, 2019

So Seriously … You Should Automate Your Data Vault. Data Vault is a methodology for architecting and managing data warehouses in complex data environments where new data types and structures are constantly introduced. By Danny Sandwell.

Data Warehouse 108

Data Warehouse Cost-Benefit Data Integration Consulting 108