AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. He is passionate about building products customers love and helping customers extract value from their data.

Snapshot 97

Snapshot Data Lake Metadata Optimization 97

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. Financial Reporting Made Simple.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

AWS Big Data

APRIL 4, 2024

In the depicted architecture and our typical data lake use case, our data either resides n Amazon S3 or is migrated from on premises to Amazon S3 using replication tools such as AWS DataSync or AWS Database Migration Service (AWS DMS). Ramesh Raghupathy is a Senior Data Architect with WWCO ProServe at AWS.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

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

DataKitchen

AUGUST 27, 2021

Part of the data team’s job is to make sense of data from different sources and judge whether it is fit for purpose. Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. DataOps Success Story.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Jet Global

OCTOBER 30, 2020

If your company is currently using Microsoft Dynamics AX , you may be considering a migration to Microsoft Dynamics 365 Finance and Operations (D365 F&SCM) at some point in the near future. For leaders in the finance and accounting department, it can often be frustrating to have conversations with IT experts about your reporting needs.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Jet Global

JANUARY 15, 2021

With the rollout of Microsoft’s Dynamics 365 Business Central (D365 BC) and Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) , the company has moved toward rationalizing its portfolio of business applications, removing redundancy, and shifting to a cloud-first approach for the future.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

IBM Big Data Hub

OCTOBER 16, 2023

Positive curation means adding items from certain domains, such as finance, legal and regulatory, cybersecurity, and sustainability, that are important for enterprise users. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads.

Risk 78

Risk Modeling Management Metadata 78

Jet Global

JANUARY 18, 2021

In the case of Microsoft Dynamics AX, that will mean a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) , which is an evolution of the AX code line. With the move to Microsoft D365 F&SCM, customers should expect major changes to the way they access their data for reporting.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. Brian Ross is a Senior Software Development Manager at AWS.

Data Quality 92

Data Quality Statistics Data Lake Visualization 92

Jedox

OCTOBER 22, 2020

Historical data compatibility with the current environment (>20 years data). The goal in addressing these pain points is to empower your stakeholders (both within Finance/FP&A and your business partners) to be able to deliver: Consistent reporting and dashboards. Limited internal resources. Self-service reporting.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

CIO Business Intelligence

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis. This is often made simpler if the number of platforms is kept to a minimum.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. Very has come full circle as a business built on catalog data, but it took some introspection in order to figure out the best way to get there.

IT 98

IT Forecasting Data Lake Enterprise 98

Jet Global

JANUARY 6, 2021

Microsoft D365 F&SCM, for example, consists of two primary components–Microsoft D365 Finance and Microsoft D365 Supply Chain Management. In an earlier blog post, we discussed an innovative way to automate the extraction, transformation, and loading of data from your existing ERP system into a test or development environment.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

CIO Business Intelligence

APRIL 22, 2024

Per esempio, “i PoC aiutano a definire i parametri in base ai quali organizzare i data lake o i criteri per la digitalizzazione dei workflow. Non è così in tutti i settori e in tutte le imprese: per esempio, nel finance e nelle utility l’attenzione dei dirigenti tende ad essere alta e, di conseguenza, lo è il budget.

Data Lake 105

Data Lake Testing Management IoT 105

Alation

NOVEMBER 2, 2022

This financing follows five quarters of consecutive accelerated growth and comes on the heels of last month’s announcement that Alation had surpassed $100M in ARR (annual recurring revenue). We had not seen that in the broader intelligence & data governance market.”. And data governance is critical to driving adoption.”.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective.

Enterprise 48

Enterprise Data Lake Data mining IoT 48

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. Discover Meaning Amid All That Data. They are beginning to amass the data assets that will serve them for years to come.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

CIO Business Intelligence

SEPTEMBER 21, 2023

With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. All of PwC’s clients are having this discussion, he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Alation

FEBRUARY 13, 2020

Metadata management in the BI era was painful, but we can’t avoid the reality that metadata is essential to data management. Just as you need data about finances for effective financial management, you need data about data (metadata) for effective data management. You can’t manage data without metadata.

Metadata 52

Metadata Management Data Lake Data Governance 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

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

CIO Business Intelligence

APRIL 4, 2023

Let’s look at the data architecture journey to understand why and how data lakehouses help to solve complexity, value and security. Traditionally, data warehouses have stored curated, structured data to support analytics and business intelligence, with fast, easy access to data. Want to learn more?

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

It’s data that is the key to moving from generic applications to generative AI applications that create real value for your customers and your business. With Amazon Bedrock , you can privately customize FMs for your specific use case using a small set of your own labeled data through a visual interface without writing any code.

Data Warehouse 110

Data Warehouse Data Lake Data Integration Dashboards 110

CIO Business Intelligence

OCTOBER 19, 2022

Digital is sales, marketing, finance, legal, and operations — everything. CIOs are responsible for building an enterprise data and analytics capability, but they do not own data as a function. If that is the case, where should the data and analytics function sit?

IT 124

IT Digital Transformation Data Warehouse Risk 124

Jet Global

JANUARY 5, 2021

Most customers running Microsoft Dynamics AX are acutely aware that at some point in the future, they will need to make the leap to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM). Most of all, finance teams need increased visibility to inventory and the supply chain.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. in lieu of simply landing in a data lake.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

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. The problem is that we’ve been doing analytics wrong for thirty years. Conclusion.

Recreation/Entertainment 98

Recreation/Entertainment Metadata Data Warehouse Cost-Benefit 98

CIO Business Intelligence

SEPTEMBER 21, 2022

As noted on Tech Target , data silos create a number of headaches for organisations and often make maintaining compliance more difficult: Incomplete data sets , which hinder efforts to build data warehouses and data lakes for business intelligence and analytics applications.

Risk 105

Risk Data Lake Marketing Interactive 105

Jet Global

OCTOBER 22, 2020

The company is pointing customers to several other options, including “BYOD” (which stands for “bring your own database”) and Microsoft Azure data lakes. This leads to the second option, which is a data warehouse. In this scenario, data are periodically queried from the source transactional system.

Modeling 52

Modeling OLAP Reporting Sales 52

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

IBM Big Data Hub

OCTOBER 12, 2023

To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. This type of architecture combines the performance and usability of a data warehouse with the flexibility and scalability of a data lake.

Cost-Benefit 84

Cost-Benefit Metadata Data Governance Modeling 84

Peter James Thomas

MAY 3, 2019

Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art. More recently Big Data architectures, including things like Data Lakes , have appeared and – at least in some cases – begun to add significant value.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Cloudera

JULY 9, 2018

These systems replaced highly manual operations such as record keeping, finance, and reporting. The goal is to enable business people to operationalize and put data analytics to work. Arcadia Data has created a BI tool for Cloudera that sets a new analytics standard, native to the data lake.

Machine Learning 42

Machine Learning Data Science Testing Business Intelligence 42

AWS Big Data

NOVEMBER 8, 2023

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. Reserve your seat now!

Data-driven 85

Data-driven Data Lake Machine Learning Cost-Benefit 85