AWS Big Data

JUNE 21, 2023

Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. Suppose we have a successful ecommerce application handling a high volume of sales transactions in DynamoDB.

Data Warehouse 91

Data Warehouse Data Lake OLAP Cost-Benefit 91

DataKitchen

AUGUST 27, 2021

A solid ramp in initial interest puts a new medicine on a trajectory to meet its lifetime sales targets. During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. A recent Gartner report estimates that “by 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value.” That’s the state of AI.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. Of those tables, some are larger (such as in terms of record volume) than others, and some are updated more frequently than others.

Data Lake 104

Data Lake Data Processing Metadata Snapshot 104

AWS Big Data

DECEMBER 20, 2024

You can now generate data integration jobs for various data sources and destinations, including Amazon Simple Storage Service (Amazon S3) data lakes with popular file formats like CSV, JSON, and Parquet, as well as modern table formats such as Apache Hudi , Delta , and Apache Iceberg.

Data Integration 94

Data Integration Visualization Data Processing Big Data 94

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

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 88

Data Warehouse Sales Visualization Data Processing 88

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 76

Data Lake Dashboards Cost-Benefit Data Warehouse 76

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 112

Data Lake Cost-Benefit Data-driven Data Warehouse 112

AWS Big Data

JULY 2, 2024

Fine-grained access control is a crucial aspect of data security for modern data lakes and data warehouses. As organizations handle vast amounts of data across multiple data sources, the need to manage sensitive information has become increasingly important.

Sales 113

Sales Data Lake Publishing Data Warehouse 113

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. To illustrate an example, in a typical sales domain, customer, time or product are dimensions and sales transactions is a fact.

Data Lake 81

Data Lake Testing Snapshot Big Data 81

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 113

Data Warehouse Analytics Data Lake Machine Learning 113

Smart Data Collective

DECEMBER 13, 2022

Extracted data must be saved someplace. There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Understand Your Audience.

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

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 lst_pr, 43.0

Analytics 59

Analytics Publishing Metadata Sales 59

CIO Business Intelligence

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

Finance 145

Finance IoT Digital Transformation Sales 145

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 96

Data Lake Finance Sales Management 96

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. Choose Register location.

Management 104

Management Data Lake Sales Data Warehouse 104

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

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 106

Data Lake Metadata Sales Publishing 106

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 104

Data Lake Data Warehouse Data-driven B2B 104

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 98

Enterprise Data Warehouse Data Lake Optimization 98

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 105

Management Advertising Data Lake Sales 105

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 Data Warehouse 52

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

FEBRUARY 12, 2024

Across verticals, thousands of large and small businesses in emerging markets use Gupshup to build conversational experiences across marketing, sales, and support. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Analytics 114

Analytics Data Warehouse Snapshot Cost-Benefit 114

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 113

Data Lake Data Warehouse Management Risk 113

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

Sisense

JULY 22, 2020

Generating and storing data in its raw state. Every organization generates and gathers data, both internally and from external sources. The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) Data modeling: Create relationships between data.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

AWS Big Data

JULY 29, 2024

Amazon DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users to seamlessly catalog, discover, analyze, and govern data across organizational boundaries, AWS accounts, data lakes, and data warehouses.

Data Warehouse 91

Data Warehouse Sales Metadata Publishing 91

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. This post also includes example SQLs, which you can run on your own Redshift Serverless data warehouse to experience the benefits of this feature.

Optimization 89

Optimization Data Lake Data Warehouse Cost-Benefit 89

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 106

Data-driven Data Lake Data Quality Data Governance 106

Jet Global

JANUARY 5, 2021

Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. Sales channels are shifting from brick and mortar to online and often reaching different market segments through different channels. Demand is volatile.

Reporting 98

Reporting Data Warehouse Finance Dashboards 98

AWS Big Data

MARCH 20, 2024

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 131

Data Warehouse Business Driver Data-driven Data Lake 131

CIO Business Intelligence

OCTOBER 19, 2022

Digital is sales, marketing, finance, legal, and operations — everything. We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform. The core customer data stays pristine in the data warehouse, but once the data goes into the lake, the business functions can experiment.

IT 124

IT Data Warehouse Digital Transformation Risk 124

CIO Business Intelligence

APRIL 26, 2022

Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake. In recent years, e-commerce platforms have evolved into a combination of cloud, analytics, CX UIs, and data lakes dubbed customer data platforms (CDPs). Washington, D.C.;

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. Federated queries allow querying data across Amazon RDS for MySQL and PostgreSQL data sources without the need for extract, transform, and load (ETL) pipelines.

IoT 107

IoT Data Warehouse Cost-Benefit Reporting 107