AWS Big Data

MARCH 5, 2025

Quick setup enables two default blueprints and creates the default environment profiles for the data lake and data warehouse default blueprints. The script creates a table with sample marketing and sales data. You will then publish the data assets from these data sources. AS wholesale_cost, 45.0

Analytics 62

Analytics Publishing Metadata Sales 62

Octopai

APRIL 8, 2019

Most businesses have one profit center—sales—and many cost centers. There are two primary reasons for this: Manual data discovery and manual data lineage. Money Loser #1: Manual Data Discovery. Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces.

Metadata 65

Metadata Dashboards Data Warehouse Visualization 65

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. We provide an example for data ingestion and querying using an ecommerce sales data lake.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples).

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

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 130

Data Warehouse Analytics Data Lake Machine Learning 130

CIO Business Intelligence

DECEMBER 21, 2022

Having too much access across many departments, for example, can result in a kitchen full of inexperienced cooks running up costs and exposing the company to data security problems. And do you want your sales team making decisions based on whatever data it gets, and having the autonomy to mix and match to see what works best?

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

erwin

JULY 2, 2020

This matters because, as he said, “By placing the data and the metadata into a model, which is what the tool does, you gain the abilities for linkages between different objects in the model, linkages that you cannot get on paper or with Visio or PowerPoint.” George H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

AWS Big Data

JUNE 25, 2024

In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. This external DLO acts as a storage container, housing metadata for your federated Redshift data.

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

AWS Big Data

JULY 25, 2024

To support this need, ATPCO wants to derive insights around product performance by using three different data sources: Airline Ticketing data – 1 billion airline ticket sales data processed through ATPCO ATPCO pricing data – 87% of worldwide airline offers are powered through ATPCO pricing data.

Data Lake 116

Data Lake Metadata Sales Publishing 116

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 111

Enterprise Data Warehouse Data Lake Optimization 111

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

NOVEMBER 22, 2022

In-house data access demands take center stage CIOs and data leaders are facing a growing demand for internal data access. Data is no longer just used by analysts and data scientists,” says Dinesh Nirmal, general manager of AI and automation at IBM Data.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

DECEMBER 9, 2024

Inventory management benefits from historical data for analyzing sales patterns and optimizing stock levels. In fraud detection, historical data helps identify anomalous patterns in transactions or user behaviors. Configure database and table names for an Iceberg table ( DB_TBL ) and data warehouse path ( ICEBERG_LOC ).

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

NOVEMBER 30, 2023

This integration simplifies the authentication and authorization process for Amazon Redshift users using Query Editor V2 or Amazon Quicksight , making it easier for them to securely access your data warehouse. Note: Your organization’s IdC instance must be in the same region as the Amazon Redshift data warehouse you’re connecting to.

Data Warehouse 111

Data Warehouse Finance Sales Management 111

AWS Big Data

APRIL 8, 2024

Prior to this integration, you had to complete the following steps before Amazon DataZone could treat the published Data Catalog table as a managed asset: Identity the Amazon S3 location associated with Data Catalog table. Publish the table metadata to the Amazon DataZone business data catalog.

Finance 110

Finance Sales Publishing Metadata 110

Smart Data Collective

OCTOBER 13, 2021

Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. How does Data Virtualization complement Data Warehousing and SOA Architectures?

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

MAY 4, 2023

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. Customers use their preferred SQL clients to analyze their data in Redshift Serverless. An Redshift Serverless data warehouse. sales' : '', isMemberOfGroupName("finance") ?

Data Warehouse 98

Data Warehouse Finance Sales Metadata 98

Octopai

JANUARY 8, 2020

You can’t do this easily without automated data lineage tools. Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze.

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

AWS Big Data

MARCH 26, 2024

reduction in sales cycle duration, 22.8% Pillar 1: Data collection As you start building your customer data platform, you have to collect data from various systems and touchpoints, such as your sales systems, customer support, web and social media, and data marketplaces. Organizations using C360 achieved 43.9%

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

AWS Big Data

DECEMBER 21, 2023

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. The departments include teams from engineering to sales and marketing. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Octopai

JULY 17, 2019

Well, that’s the problem – BI teams today tend to have to map out data lineage manually since they are usually dealing with multi-vendor environments. And if not impossible, then you can bet it’ll take the data analysts a LONG time to figure out. Data lineage visualization is an overview and a journey map of our data.

Metadata 72

Metadata Visualization Reporting Finance 72

AWS Big Data

AUGUST 5, 2024

These business units have varying landscapes, where a data lake is managed by Amazon Simple Storage Service (Amazon S3) and analytics workloads are run on Amazon Redshift , a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Lake 105

Data Lake Finance Sales Management 105

CIO Business Intelligence

SEPTEMBER 22, 2023

These sources include ad marketplaces that dump statistics about audience engagement and click-through rates, sales software systems that report on customer purchases, and websites — and even storeroom floors — that track engagement. All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all.

Management 106

Management Advertising Data Lake Sales 106

AWS Big Data

OCTOBER 1, 2024

Performance was tested on a Redshift serverless data warehouse with 128 RPU. In our testing, the dataset was stored in Amazon S3 in Parquet format and AWS Glue Data Catalog was used to manage external databases and tables. He works on the intersection of data lakes and data warehouses.

Data Lake 116

Data Lake Statistics Broadcasting Optimization 116

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

APRIL 28, 2022

A data fabric can simplify data access in an organization to facilitate self-service data consumption, while remaining agnostic to data environments, processes, utility and geography. Obtaining access to each data warehouse and subsequently drawing relationships between the data would be a cumbersome process.

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

Cloudera

SEPTEMBER 29, 2022

This team or domain expert will be responsible for the data produced by the team. The data itself is then treated as a product. The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. What is a data mesh contract?

Data Architecture 74

Data Architecture Data Warehouse Metadata Sales 74

Jet Global

DECEMBER 1, 2020

Truly efficient and effective reporting requires a BI engine capable of organizing and preprocessing large data sets and managing replication with operational data sources. In addition, it can be very helpful to have a metadata layer in place that can help non-developers make sense of the information in the database.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Octopai

DECEMBER 10, 2019

Let’s look at why: Companies need to utilize shared data to make informed decisions, but when data is sent from one department to another there is always the risk of miscommunication. Standard terms in sales might have a different understanding in accounting, and crossed wires can lead to problems.

Data Warehouse 69

Data Warehouse Metadata Reporting Business Intelligence 69

Octopai

MARCH 24, 2020

Every time someone from Marketing or Sales or HR needs a report created or modified, or every time there’s a problem with some data in a report that needs to be sorted ASAP – who do you call? Here is an overview of how automated metadata management makes your business intelligence smarter. BI, obviously. Watch the webinar!

Metadata 61

Metadata Cost-Benefit Business Intelligence Data Warehouse 61

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. Let’s introduce the concept of data mining. Toiling Away in the Data Mines. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Cloudera

DECEMBER 21, 2023

In this example, we’re going to look for a list of stores ordered by their performance in terms of total sales. To do that, we’ll launch the SQL AI Assistant, select “generate” from the menu and enter “get store name, store id, manager, zip code, total sales of each store, and sort by total sales in ascending order“ as our prompt.

Optimization 67

Optimization Sales Data Warehouse Measurement 67

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 98

IT Forecasting Data Lake Data Warehouse 98

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98