BizAcuity

APRIL 1, 2023

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. The BYNET interconnect supports up to 512 nodes.

Optimization 52

Optimization Data Warehouse Management Modeling 52

Jet Global

MAY 28, 2019

The success of any business into the next year and beyond will depend entirely on the volume, accuracy, and reportability of the data they collect—and how well the business can analyze, extract insight from, and take action on that data. All About That (Data)Base. Enter the Warehouse.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

BizAcuity

SEPTEMBER 22, 2022

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Not being an agile cloud data warehouse.

Optimization 52

Optimization Data Warehouse Management Modeling 52

Cloudera

DECEMBER 21, 2023

How long would it take you to find the data you need to even begin to come up with a data-driven response? In this scenario, you also have reports that need updating as well. No more searching for tables and columns and digging into cryptic metadata with time consuming trial and error just to find the right data sets.

Optimization 67

Optimization Sales Data Warehouse Measurement 67

Jet Global

SEPTEMBER 22, 2023

Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI. The skills needed to create a data warehouse are currently in short supply, leading to long lead times, high costs, and unnecessary risks.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

FEBRUARY 5, 2024

Understanding your SAP data to its fullest is the first step o n the journey towards a more sustainable future. W ith a n advanced operational reporting solution that delivers proper data analysis , you can put your best foot forward. Total dependence on fossil fuels.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52

Jet Global

MAY 8, 2024

Logi Symphony harnesses the strengths of two recent insightsoftware acquisitions, Logi Analytics and Dundas BI, to enable software teams to rapidly design, build, and embed interactive dashboards, pixel-perfect reports and data visualizations with fast connectivity and access to modern data infrastructure.

Business Intelligence 52

Business Intelligence Reporting Measurement Software 52

Jet Global

OCTOBER 31, 2023

If you are looking for a reporting solution that can handle complex data and deliver fast results, you might want to check out Jet Reports version 23.3, Jet Reports 23.3 comes with significant performance improvements that make your reporting experience faster and smoother than ever. How Fast Is Jet Reports 23.3?

Reporting 52

Reporting Data Processing Dashboards Optimization 52

CIO Business Intelligence

JUNE 24, 2022

Approximately 61% of APAC organizations have failed to build robust and successful digital business business models, primarily due to unsound practices of enterprise architecture (EA) teams, according to a report from Forrester.

Modeling 92

Modeling Digital Transformation Data Architecture Data-driven 92

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 70

Risk Modeling Management Metadata 70

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 72

Data Warehouse Cost-Benefit Metadata Management 72

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

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 85

Enterprise Data Warehouse Data Lake Optimization 85

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 100

Data Warehouse Data Lake Analytics Machine Learning 100

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. jobs because this feature will help reduce cost and optimize your ETL jobs.

Reporting 69

Reporting Metrics Optimization Data Lake 69

CIO Business Intelligence

OCTOBER 13, 2023

Data architects are frequently part of a data science team and tasked with leading data system projects. They often report to data infrastructure and data science leads. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 124

Data Architecture Data Warehouse Statistics Visualization 124

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Amazon describes the dense storage nodes (DS2) as optimized for large data workloads and use hard disk drives (HDD) for storage.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Cloudera

NOVEMBER 25, 2020

How can users quickly pull up historical trails, what results were generated, what steps were involved, and compare against external text data? Innovate on serviceability and optimize utilization. Traditional systems are siloed, hard to access and often structured to serve traditional reports.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. In financial services, fast-moving data is critical for real-time risk and threat assessments. Kudu has this covered.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

Jet Global

MARCH 24, 2024

Leading and lagging metrics : Leading measures predict future performance, whereas lagging measures report past performance. KPIs must be utilized to identify opportunities for maximization and optimization. This knowledge will allow the business to optimize its efforts and model other campaigns after its most successful program.

Metrics 52

Metrics Reporting KPI Measurement 52

AWS Big Data

JULY 13, 2023

To reflect the needs of their customers spread across different geographies and industries, Altron has organized their operating model across individual Operating Companies (OpCos). The reporting zone is based on a set of Amazon Athena views, which are consumed for BI purposes. BI users create dashboards and reports in QuickSight.

Optimization 91

Optimization B2B Data Quality Sales 91

DataKitchen

AUGUST 19, 2021

Each data source is updated on its own schedule, for example, daily, weekly or monthly. The DataKitchen Platform ingests data into a data lake and runs Recipes to create a data warehouse leveraged by users and self-service data analysts. The third set of domains are cached data sets (e.g.,

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

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 111

Data Warehouse Cost-Benefit Sales Data-driven 111

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 87

Data Warehouse Metrics Statistics Optimization 87

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Jet Global

JULY 27, 2022

As Business Intelligence (BI) tools, data warehousing solutions, and enterprise data and application landscapes have advanced, it’s worth taking the time to rethink that old model, starting with the dichotomy between operational reporting (OR) and strategic analytics. Data Rich and Insight Poor. Download Now.

Operational Reporting 52

Operational Reporting Reporting Analytics Dashboards 52

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

Jet Global

JULY 31, 2023

On-Prem Key Challenges For finance and operations teams that work at organizations choosing to stay on-prem, there are a couple of key challenges: Complex customization: Customizing Oracle EBS for financial and operational reporting can be a complex and time-consuming process.

Operational Reporting 52

Operational Reporting Data Warehouse Reporting Finance 52

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 125

Data mining Data-driven Statistics OLAP 125

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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 87

Metrics Slice and Dice Data Warehouse Dashboards 87

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

Jet Global

APRIL 5, 2021

Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. What Is Financial Modeling?

Modeling 98

Modeling Forecasting Metrics Finance 98