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 103

Metadata Sales Data Warehouse Optimization 103

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 97

Optimization Data Lake Data Warehouse Cost-Benefit 97

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 100

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 100

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 97

Data Warehouse Sales Data Lake Recreation/Entertainment 97

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 Quality 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

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 102

Cost-Benefit Data-driven Software Testing 102

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

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

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 97

Analytics Data Warehouse Big Data Metrics 97

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

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

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 104

Data Architecture Optimization Data Warehouse Metadata 104

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 88

Snapshot Recreation/Entertainment Experimentation Data Lake 88

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 116

Data Warehouse Cost-Benefit Dashboards Optimization 116

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

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

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 121

Data Warehouse Analytics Data Lake Machine Learning 121

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

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

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

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 134

Data Warehouse Dashboards Risk Management Risk 134

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

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

OCTOBER 1, 2024

The external data catalog can be AWS Glue Data Catalog, the data catalog that comes with Amazon Athena, or your own Apache Hive metastore. To get the best performance on data lake queries with Redshift, you can use AWS Glue Data Catalog’s column statistics feature to collect statistics on Data Lake tables.

Data Lake 112

Data Lake Statistics Broadcasting Optimization 112

Smart Data Collective

JULY 20, 2021

Therefore, CRM software comes into the picture to help enterprises achieve their business targets. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention. This tool will help you to sync and store data from multiple sources quickly.

Big Data 142

Big Data Sales Marketing Software 142

Sisense

JULY 7, 2020

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Sisense AI Trends.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

AWS Big Data

AUGUST 9, 2024

Dafiti’s data infrastructure relies heavily on ETL and ELT processes, with approximately 2,500 unique processes run daily. Amazon Redshift at Dafiti Amazon Redshift is a fully managed data warehouse service, and was adopted by Dafiti in 2017. About the Authors Valdiney Gomes is Data Engineering Coordinator at Dafiti.

Data Lake 110

Data Lake Analytics Data Warehouse Data-driven 110

AWS Big Data

JULY 8, 2024

Amazon Redshift Serverless is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, simple, and secure analytics at scale. Amazon Redshift data sharing allows you to share data within and across organizations, AWS Regions, and even third-party providers, without moving or copying the data.

Data Warehouse 127

Data Warehouse IT Recreation/Entertainment Cost-Benefit 127

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144