Jet Global

NOVEMBER 5, 2020

OLAP reporting has traditionally relied on a data warehouse. Again, this entails creating a copy of the transactional data in the ERP system, but it also involves some preprocessing of data into so-called “cubes” so that you can retrieve aggregate totals and present them much faster. It has happened before.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Timo Elliott

DECEMBER 14, 2022

Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation. But that’s like ripping a tree out of the forest and trying to get it to grow elsewhere.

Data Lake 105

Data Lake Recreation/Entertainment Metadata Data Warehouse 105

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

Timo Elliott

JUNE 19, 2023

The next area is data. There’s a huge disruption around data. For a long time, we’ve always ripped data out of our core systems and put it into a data warehouse or a data lake or a data lake house or a data cloud. And then you have to recreate it all in this new area.

Data Lake 105

Data Lake Digital Transformation Recreation/Entertainment Technology 105

Jet Global

JANUARY 2, 2020

Data Warehouses Don’t Solve the Problem. To get the best out of their BI tools, businesses often call in the IT team to set up a data warehouse to transform their data into a structure more suited to reporting. But this does not solve the problem for finance, either.

Finance 52

Finance Management Data Warehouse Reporting 52

Jet Global

DECEMBER 12, 2019

Data Warehouse? Often IT will invest in an expensive data warehouse to structure an organisation’s data in a way that is designed to get the most out of their BI tool. A data warehouse captures summarised data, breaking the link to the ERP’s underlying transactions. Forget About It.

Reporting 52

Reporting Finance Data Warehouse Recreation/Entertainment 52

CIO Business Intelligence

APRIL 26, 2022

Despite nearly $1 billion in online revenue in 2020, the web-based outdoor recreational retailer was running its entire business on an outdated and unsupported e-commerce platform called ADT. It got the basic job done but the company’s executive leadership team (ELT) knew it was time for a transformation.

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

Data Virtualization

FEBRUARY 13, 2019

Autodesk, makers of world-renowned 3D design, engineering, and entertainment software, wanted to change from perpetual licensing to subscription-based licensing, but knew that this change would likely impact the entire. Change is sometimes difficult to embrace, especially when it involves downtime.

Recreation/Entertainment 40

Recreation/Entertainment Software Management IT 40

Jet Global

DECEMBER 23, 2020

Customers migrating from Dynamics GP or Dynamics SL will need to recreate any existing reports developed with the standard Microsoft tools from scratch in Business Central. In a separate post, we have discussed the potential for using a data warehouse as a means for automating data extraction and transformation in advance of system migration.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

Jet Global

NOVEMBER 2, 2020

Interestingly, you can address many of them very effectively with a data warehouse. It’s a much more complicated matter to recreate the history, showing which payments were applied to which invoices in which amounts. The Data Warehouse Solution. Pre-Staging Migration Data in the Data Warehouse.

Data Warehouse 83

Data Warehouse Cost-Benefit Reporting Recreation/Entertainment 83

Cloudera

FEBRUARY 16, 2022

This allows data scientists, engineers and data management teams to have the right level of access to effectively perform their role. Model reproducibility is the extent to which a model can be recreated. If a model’s lineage is completely captured, we know exactly what data was used to train, test and validate a model.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Jen Stirrup

MAY 5, 2020

It has native integration with other data sources, such as SQL Data Warehouse, Azure Cosmos, database storage, and even Azure Blob Storage as well. When you’re using Big Data technologies, it’s often a concern about how well those are performing in terms of performance and robustness.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Alation

FEBRUARY 13, 2020

But today’s business and data analysts are often working blind, without visibility into the datasets that exist, the contents of those datasets, and the quality and usefulness of each. They spend too much time finding and understanding data, often recreating datasets that already exist.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Howard Dresner

JANUARY 4, 2015

So here’s the list we compiled — Some of the worst mistakes organizations make in BI initiatives Technology/tools: " Thinking the BI toolset will make up for not understanding the business " Thinking BI tools will solve the business problems instead of using BI to solve the problems " Generalizing solutions or tools for all types of users – BI is not (..)

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

AWS Big Data

DECEMBER 8, 2023

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 68

Data Warehouse Cost-Benefit KPI Risk 68

Timo Elliott

NOVEMBER 30, 2022

Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud. It’s possible to do, but it takes huge amounts of time and effort to recreate all that from scratch.

Recreation/Entertainment 98

Recreation/Entertainment Metadata Data Warehouse Cost-Benefit 98

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 79

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 79

Jet Global

MAY 27, 2022

How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Here’s how they correlate: Data lake: An information repository that can be stored in a variety of different ways, typically in a raw format like SQL.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

FEBRUARY 19, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Thousands of customers use Amazon Redshift read data sharing to enable instant, granular, and fast data access across Redshift provisioned clusters and serverless workgroups.

Cost-Benefit 84

Cost-Benefit Data Warehouse Marketing Interactive 84

Smart Data Collective

OCTOBER 17, 2022

Cloud data warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses. Can’t get to the data. All of this data might be overwhelming for engineers who struggle to pull in data sets quickly enough. Becoming a data-driven organization is a must.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

Alation

OCTOBER 18, 2022

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. How did the data transform exactly? Who was involved? These are key details.

Metadata 52

Metadata Metrics Recreation/Entertainment Data Quality 52

Cloudera

MAY 22, 2018

Most often, cloud ends up recreating the application silos of the past, only more so, because of the easy way anyone can upload a dataset and spin up a new application. It enables a rich data warehouse experience, only with more fluidity and exploration of ad hoc questions.

Enterprise 40

Enterprise Recreation/Entertainment Data Warehouse Machine Learning 40

DataRobot Blog

FEBRUARY 21, 2022

Worst of all, the notebooks are now “not as portable,” because in addition to the code in the notebook, we need to exactly recreate the custom kernel used when the notebook was created. It is not practical to keep custom instances up and running when not needed, so our teams often created a deployment model to recreate custom kernels.

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52

BizAcuity

APRIL 14, 2022

Currently in the market, organizations look at on-premises, cloud storage, hybrid and multi-cloud storage options based on the kind of data they have and decide between data lakes, data warehouses or both depending on the kind of data they have and their long term goals. Enterprise Big Data Strategy.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Consulting 65

Consulting Data Warehouse Strategy Modeling 65

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Consulting 55

Consulting Data Warehouse Strategy Modeling 55

Cloudera

MARCH 6, 2018

If catalog metadata and business definitions live with transient compute resources, they will be lost, requiring work to recreate later and making auditing impossible. Further, much of the value of cloud is for elastic workloads.

Analytics 40

Analytics Metadata Recreation/Entertainment Big Data 40

BizAcuity

OCTOBER 7, 2019

It also saves the organization’s licensing costs by limiting to a single data warehouse. Because of all the mergers and acquisitions, they ended up with several versions of data and information across various sources. They wanted to have a single consolidated data warehouse with unified data structures and process.

Consulting 40

Consulting Data Warehouse Strategy Modeling 40

Domino Data Lab

JULY 2, 2019

Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke. Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?”

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. A new view has to be created (or recreated) for reading changes from new snapshots.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

NOVEMBER 8, 2023

With real-time streaming data, organizations can reimagine what’s possible. From enabling predictive maintenance in manufacturing to delivering hyper-personalized content in the media and entertainment industry, and from real-time fraud detection in finance to precision agriculture in farming, the potential applications are vast.

Data-driven 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. Jim Tyo added that in the financial services world, agility is critical. Initially, they didn’t understand the definition and they let alone understand the potential.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Birst BI

OCTOBER 24, 2019

When we look at tools like Microsoft’s Power BI and Tableau, you must recreate complex data objects repeatedly across different teams and use cases. This is not conducive to ongoing and repeatable insights and value generation out of your data assets. This includes ETL processes and subsequent augmented and extended data sets.

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Jet Global

FEBRUARY 28, 2022

Creating operational reports using Microsoft Power BI requires significant technical skills and investment in a data warehouse to transform data into an optimal format for operational reporting, which loses the immediacy of the data and makes it more difficult to drill into transactional data to answer follow-up questions.

Finance 98

Finance Operational Reporting Recreation/Entertainment Reporting 98

Jet Global

DECEMBER 23, 2021

First Name * Last Name * Phone Number Company Name * Job Title Industry -- Select an Industry -- Accommodation & Food Services Admin, Support, Waste Mgmt, Remediation Agriculture, Forestry, Fishing & Hunting Arts, Entertainment & Recreation Biotechnology Chemicals Communications Construction Consulting Education Services Engineering Finance (..)

Data Quality 98

Data Quality Reporting Recreation/Entertainment Finance 98