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. ExampleCorp has multiple Redshift clusters.

Management 92

Management Data Warehouse Metrics Dashboards 92

CIO Business Intelligence

DECEMBER 13, 2023

An example of that is a data warehouse in Azure we brought in and offer as a service. All they have to do is map their data and upload it, and then new data is refueled overnight so they can get new analytics out.” We’ve inherited some of it after reorganizations that we develop and manage.

IT 104

IT Unstructured Data Cost-Benefit Data Warehouse 104

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

IBM Big Data Hub

OCTOBER 30, 2023

Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. That Was Then. Learn More, Keep in Touch.

Data Warehouse 92

Data Warehouse Machine Learning Visualization Data Lake 92

AWS Big Data

JUNE 2, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. You can also download the demo file. The default is 5 minutes. Upload the config file into it.

Metadata 108

Metadata Data Warehouse Big Data Testing 108

Alation

FEBRUARY 7, 2023

There was a software product demo showcasing its ability to scan every layer of your application code, and I was intrigued to see how it worked. It wouldn’t be until 2013 that the topic of data lineage would surface again – this time while working on a data warehouse project. Twenty years ago, I saw into the future.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

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. You can also sign up for a demo or get started with an IBM watsonx.data trial on AWS from the watsonx.data product page.

Data-driven 114

Data-driven Insurance Digital Transformation Data Warehouse 114

IBM Big Data Hub

NOVEMBER 15, 2023

Watsonx.data acts as a front end for the company’s ERP system, with up-to-date attributes about inventory items, ratings of suppliers, quantities available and so on, along with a third-party data warehouse providing further decision criteria. Thus, teams can work smarter and move toward better, more integrated business outcomes.

Sales 93

Sales Software Modeling Enterprise 93

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. They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

Cloudera

MARCH 17, 2023

The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse. Also, the data lake layer is not limited to cloud object stores.

Unstructured Data 60

Unstructured Data Data Lake Data Warehouse Machine Learning 60

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

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 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

AWS Big Data

AUGUST 31, 2023

One of the major and essential parts in a data warehouse is the extract, transform, and load (ETL) process which extracts the data from different sources, applies business rules and aggregations and then makes the transformed data available for the business users. Click on Set default then Make default.

Data Warehouse 80

Data Warehouse Data-driven Testing Business Intelligence 80

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake. The Data Scientist.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Snapshot 70

Snapshot Metadata Data Warehouse Optimization 70

AWS Big Data

MAY 2, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently and securely. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses.

Data Warehouse 60

Data Warehouse Software Visualization IoT 60

AWS Big Data

FEBRUARY 24, 2023

Before proceeding with the demo, create a folder named custdata under the created S3 bucket. Create a Kinesis data stream We use Kinesis Data Streams to create a serverless streaming data service that is built to handle millions of events with low latency. Select Kinesis Data Streams and choose Create data stream.

Data Lake 81

Data Lake Metadata Testing Data Warehouse 81

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence. Request Demo.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

IBM Big Data Hub

NOVEMBER 3, 2023

When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

erwin

FEBRUARY 28, 2024

Examples of complementary technologies include technology for data warehouse automation, change data capture and master data management. For data governance, it’s more complex. And truth must be told, the demo of erwin Data Intelligence left us impressed. We can’t help it, that’s who we are.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Timo Elliott

OCTOBER 3, 2019

Richard Mooney showed off some of the new possibilities, with a demo of natural language querying, powered by machine learning. Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. People, collaboration, and ease of use.

Data Warehouse 63

Data Warehouse Digital Transformation Machine Learning Strategy 63

Jet Global

APRIL 20, 2020

First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently. Spreadsheets enabled finance professionals to access data faster and to crunch the numbers with much greater ease. Request a free demo and take the first step to leveling-up your organization.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?

Data Warehouse 52

Data Warehouse Digital Transformation Data-driven Metadata 52

Cloudera

MARCH 2, 2022

Now that more and more data warehousing is done in the cloud, much of that in the Cloudera Data Warehouse data service, performance improvement directly equates to cost savings. A recent benchmark by a third party shows how Cloudera has the best price-performance on the cloud data warehouse market.

Data Warehouse 87

Data Warehouse Optimization Analytics Sales 87

Jet Global

APRIL 10, 2019

Jet Analytics is a business intelligence and reporting solution with pre-built data warehouse and OLAP cubes for Dynamics GP. Multi Data Source Consolidation. Data Warehouse and OLAP Cubes. GET A DEMO OF JET REPORTS. Option 3: Jet Analytics. Management Reporter. Jet Analytics. Dashboards and KPIs.

Reporting 75

Reporting Management OLAP Data Warehouse 75

Jet Global

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

Jet Global

DECEMBER 23, 2020

Similarly, Jet Analytics works with the entire family of Dynamics products, including GP, SL, NAV, and D365 BC, making it remarkably easy to create a data warehouse, extract and transform data from the source system, and easily develop sophisticated reporting and analytics. Contact us today for a free demo.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

Jet Global

JANUARY 18, 2021

In a separate blog post, we discussed the potential for using a data warehouse as a means for automating data extraction and transformation in advance of system migration. This automated approach shortens the downtime required in the days before an ERP system goes live.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Request your own demo of erwin DI. The post Do I Need a Data Catalog?

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

AWS Big Data

APRIL 8, 2024

Check out the YouTube playlist for some of the latest demos of Amazon DataZone and short descriptions of the capabilities available. For more information about Amazon DataZone, see How Amazon DataZone helps customers find value in oceans of data.

Finance 75

Finance Sales Publishing Metadata 75

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. To arrange a free no-obligation demo, contact us today.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

AWS Big Data

MARCH 2, 2023

S3FileIO" } } This sets the following Spark session configurations: spark.sql.catalog.demo – Registers a Spark catalog named demo, which uses the Iceberg Spark catalog plugin. spark.sql.catalog.demo.catalog-impl – The demo Spark catalog uses AWS Glue as the physical catalog to store Iceberg database and table information.

Data Lake 115

Data Lake Data Processing Metadata Snapshot 115

Jet Global

JANUARY 15, 2021

Jet Analytics makes it easy for virtually anyone to quickly and easily design and populate a data warehouse from Microsoft Dynamics AX, Microsoft D365 F&SCM, or any other product in the Microsoft Dynamics family. A non-developer can build a custom data warehouse with Jet Analytics in as little as 30 minutes.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72