AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 108

Data Warehouse Cost-Benefit Sales Data-driven 108

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 91

Management Data Warehouse Metrics Dashboards 91

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

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 82

Metrics Slice and Dice Data Warehouse Dashboards 82

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. Flat files – Other systems supply data in the form of flat files of different formats.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

CIO Business Intelligence

JUNE 13, 2022

The starting point was XANTAS’ existing SAP-based clinical data warehouse named VISMEDICA. The clinical data warehouse analysis is available 24 hours a day, seven days a week, both online and via text. SAP HANA provided the toolbox for the various functions. Artificial intelligence is the next step,” Telle said.

Data Warehouse 98

Data Warehouse Software Manufacturing Machine Learning 98

Jet Global

APRIL 20, 2020

A new paradigm in reporting and analysis is emerging. There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report).

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Octopai

FEBRUARY 20, 2022

Deciding to migrate your data from legacy, on-prem databases to a cloud-based data warehouse like Snowflake is often a step in the right direction. Do data housekeeping. Your spanking new modern data warehouse doesn’t need dirty, antiquated or otherwise irrelevant data. Dispose of.

Data Warehouse 92

Data Warehouse Optimization Measurement Visualization 92

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

IBM Big Data Hub

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Risk 79

Risk Modeling Management Metadata 79

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 72

Dashboards Data Warehouse Visualization Data Processing 72

Ontotext

APRIL 10, 2024

“Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.”

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Cloudera

AUGUST 20, 2020

Analysis of this data presents three challenges. First, the size of the data is significant. The amount of time to pull, curate, transform, retrieve and report on that data is time intensive. Second, the data set is likely to evolve, which will consume additional development time and resources. Objective.

Data Warehouse 61

Data Warehouse Reporting Data Processing Management 61

DataRobot Blog

FEBRUARY 28, 2023

For our joint solution with Snowflake, this means that code-first users can use DataRobot’s hosted Notebooks as the interface and Snowpark processes the data directly in the data warehouse. launch event on March 16th. Register here to be part of this virtual event. Learn more at DataRobot.com/Snowflake.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

Cloudera

JANUARY 27, 2021

Active monitoring for intrusion events and security incident handling. Data backup and disaster recovery. CDP Public Cloud consists of a set of best-of-breed analytic services covering streaming, data engineering, data warehouse, operational database, and machine learning, all secured and governed by Cloudera SDX.

Testing 101

Testing Data Warehouse Machine Learning Measurement 101

Jet Global

JULY 23, 2019

insightsoftware’s Excelapalooza, one of the largest Microsoft Excel learning events in the country, is no exception. With multiple sessions on VBA, macros, Jet products, data visualization, Power BI, PivotTables, dashboards, and the latest technology in Microsoft Excel – Excelapalooza is your reporting and analytics dreamland.

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

AWS Big Data

JANUARY 24, 2023

Business teams can gain meaningful insights by simplifying their reporting through web applications and distributing it to a broader audience. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results. What are WebSockets and why do we need them?

Analytics 57

Analytics Data-driven Management Reporting 57

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” billion in revenue.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Domino Data Lab

JANUARY 11, 2021

This means trading off granularity and latency of data for structures that make it easier to write queries that aggregate, filter and group results for reporting purposes. That said, there are many advantages to ensuring that data scientists have full access to not only read from, but also be able to write to data warehouse structures.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CDW Research Hub

JULY 2, 2021

This provides near-real-time data activity monitoring and protection capabilities for Database as a Service (DBaaS) sources, such as AWS Kinesis and Azure Event Hubs. GDP is a leading data security platform for databases and data warehouses. Automated workflows and long-term data storage. Advanced analytics.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 52

Jet Global

NOVEMBER 2, 2020

Interestingly, you can address many of them very effectively with a data warehouse. There are some very important reasons why you might want to bring some of your historical data into your new system, though. For example, it would be useful to retain the capability of reporting historical sales trends.

Data Warehouse 83

Data Warehouse Cost-Benefit Reporting Recreation/Entertainment 83

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 91

Data Warehouse Snapshot Testing Management 91

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. This compiled data is then imported into Aurora PostgreSQL Serverless for operational reporting.

Data Warehouse 96

Data Warehouse Analytics Snapshot Cost-Benefit 96

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Jet Global

JULY 29, 2020

User interfaces for ERP reporting tools are most often built with IT staff in mind, not the end user. For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Real-Time Reporting Solutions for Oracle EBS. View Solutions Now.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Analyze the assessment report and address the action items.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher version) database.

Data Warehouse 81

Data Warehouse Analytics Metrics Dashboards 81

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 83

Data Warehouse Metrics Statistics Optimization 83

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 66

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Azure Data Factory. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 66

Modeling Sales Data Warehouse Snapshot 66