Data Strategy, Data Warehouse and Structured Data

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. These types of queries are suited for a data warehouse. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse

Data Warehouse Data Lake OLAP Cost-Benefit

Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy

Data Strategy Strategy Data Warehouse Prescriptive Analytics

The rise of the data lakehouse: A new era of data value

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse. You can intuitively query the data from the data lake. That’s how we got here.

Data Lake

Data Lake Data Warehouse Unstructured Data Business Intelligence

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Data governance in the age of generative AI

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Let’s look at some of the key changes in the data pipelines namely, data cataloging, data quality, and vector embedding security in more detail.

Data Governance

Data Governance Unstructured Data Metadata Data Lake

How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

NOVEMBER 25, 2020

How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer. The Vision of a Discovery Data Warehouse. A Discovery Data Warehouse is cloud-agnostic. Access to valuable data should not be hindered by the technology.

Data Warehouse

Data Warehouse Unstructured Data Analytics Visualization

Top analytics announcements of AWS re:Invent 2024

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. AWS Glue 5.0 Finally, AWS Glue 5.0

Analytics

Analytics Data Lake Metadata Data Warehouse

Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. To effectively use raw data, it often needs to be curated within a data warehouse.

Optimization

Optimization Strategy Data Warehouse Cost-Benefit

Straumann Group is transforming dentistry with data, AI

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

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse

Unleash Fast Data Insights With Snowflake and ThoughtSpot

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications.

Data Warehouse

Data Warehouse Data-driven Consulting Structured Data

Watch the Ninth Video in Our Snowflake Tutorial Series

CDW Research Hub

JANUARY 20, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Data Strategy Strategy

Watch the Eleventh Video in Our Snowflake Tutorial Series

CDW Research Hub

JANUARY 24, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Strategy Data Strategy

Watch the Seventh Video in Our Snowflake Tutorial Series

CDW Research Hub

OCTOBER 25, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Data Warehouse

Data Warehouse Structured Data Consulting Data Strategy

Watch the Tenth Video in Our Snowflake Tutorial Series

CDW Research Hub

JANUARY 21, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Data Strategy Strategy

Building Better Data Models to Unlock Next-Level Intelligence

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling

Modeling Big Data IoT Data Warehouse

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science

Data Science Data Analytics Prescriptive Analytics Analytics

Harness Zero Copy data sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 1

AWS Big Data

AUGUST 27, 2024

This unified view helps your sales, service, and marketing teams build personalized customer experiences, invoke data-driven actions and workflows, and safely drive AI across all Salesforce applications. What is Amazon Redshift?

Data Lake

Data Lake Analytics Data-driven Management

Data Swamp, Data Lake, Data Lakehouse: What to Know

Alation

OCTOBER 21, 2021

A data lakehouse combines the benefits of a data lake, including scale, efficiency, and flexibility, with the benefits of a data warehouse, which include ideal support for structured data.

Data Lake

Data Lake Metadata Data Warehouse Data Governance

Five actionable steps to GDPR compliance (Right to be forgotten) with Amazon Redshift

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

Snapshot

Snapshot Metadata Measurement Data Warehouse

Watch the Eighth Video in Our Snowflake Tutorial Series

CDW Research Hub

OCTOBER 26, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Modeling Data Strategy

Watch the Sixth Video in Our Snowflake Tutorial Series

CDW Research Hub

OCTOBER 21, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Data Strategy Strategy

Watch the Fourth Video in Our Snowflake Tutorial Series

CDW Research Hub

JULY 22, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Data Strategy Strategy

Check Out the Second Video in Our Snowflake Tutorial Series

CDW Research Hub

APRIL 28, 2021

Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Data Strategy Strategy

Check Out the First Video in Our Snowflake Tutorial Series

CDW Research Hub

APRIL 12, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Data Strategy Strategy

Watch the Fifth Video in Our Snowflake Tutorial Series

CDW Research Hub

JULY 23, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Strategy Data Strategy

Watch the Third Video in Our Snowflake Tutorial Series

CDW Research Hub

MAY 27, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering.

Structured Data

Structured Data Consulting Strategy Data Strategy

Your Trifecta Solution for Starting a Data-Driven Analytics Journey in the Cloud

CDW Research Hub

APRIL 28, 2020

Functionality designed to amplify the benefits of Snowflake (semi-structured data support and warehouse scalability). When you are looking to integrate and harness the power of your data and get more AI-driven intelligence, know that we have the experience to help your organization execute your modern data strategy.

Data-driven

Data-driven Analytics Consulting ROI

Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution.

Sales

Sales Data Warehouse Visualization Testing

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise

Enterprise Knowledge Discovery Risk Machine Learning

Modernize your legacy databases with AWS data lakes, Part 3: Build a data lake processing layer

AWS Big Data

OCTOBER 30, 2024

In our use case, we use Redshift Query Editor to create data marts using SQL code. We also use Redshift Spectrum, which allows you to efficiently query and retrieve structured and semi-structured data from files stored on Amazon S3 without having to load the data into the Redshift tables.

Data Lake

Data Lake Machine Learning Data Architecture Data-driven

Unlocking Trino’s Full Potential With Simba Drivers for BI & ETL

Jet Global

OCTOBER 1, 2024

With Simba drivers acting as a bridge between Trino and your BI or ETL tools, you can unlock enhanced data connectivity, streamline analytics, and drive real-time decision-making. Let’s explore why this combination is a game-changer for data strategies and how it maximizes the value of Trino and Apache Iceberg for your business.

Dashboards

Dashboards Data Lake Reporting Cost-Benefit

Data Leaders Brief

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

Create an end-to-end data strategy for Customer 360 on AWS

Webinars

Trending Sources

The rise of the data lakehouse: A new era of data value

Webinars

Data governance in the age of generative AI

How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Top analytics announcements of AWS re:Invent 2024

Why optimize your warehouse with a data lakehouse strategy

Straumann Group is transforming dentistry with data, AI

Unleash Fast Data Insights With Snowflake and ThoughtSpot

Watch the Ninth Video in Our Snowflake Tutorial Series

Watch the Eleventh Video in Our Snowflake Tutorial Series

Watch the Seventh Video in Our Snowflake Tutorial Series

Watch the Tenth Video in Our Snowflake Tutorial Series

Building Better Data Models to Unlock Next-Level Intelligence

Data science vs data analytics: Unpacking the differences

Harness Zero Copy data sharing from Salesforce Data Cloud to Amazon Redshift for Unified Analytics – Part 1

Data Swamp, Data Lake, Data Lakehouse: What to Know

Five actionable steps to GDPR compliance (Right to be forgotten) with Amazon Redshift

Watch the Eighth Video in Our Snowflake Tutorial Series

Watch the Sixth Video in Our Snowflake Tutorial Series

Watch the Fourth Video in Our Snowflake Tutorial Series

Check Out the Second Video in Our Snowflake Tutorial Series

Check Out the First Video in Our Snowflake Tutorial Series

Watch the Fifth Video in Our Snowflake Tutorial Series

Watch the Third Video in Our Snowflake Tutorial Series

Your Trifecta Solution for Starting a Data-Driven Analytics Journey in the Cloud

Migrate your existing SQL-based ETL workload to an AWS serverless ETL infrastructure using AWS Glue

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Modernize your legacy databases with AWS data lakes, Part 3: Build a data lake processing layer

Unlocking Trino’s Full Potential With Simba Drivers for BI & ETL

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