Blog, Data Analytics, Data Warehouse and Structured Data

Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Data Warehouse.

Data Lake

Data Lake Data Warehouse Unstructured Data Big Data

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science

Data Science Data Analytics Prescriptive Analytics Analytics

Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization

Optimization Strategy Data Warehouse Cost-Benefit

Webinars

How to Optimize the Developer Experience for Monumental Impact

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

MORE WEBINARS

Snowflake: A New Blueprint for the Modern Data Warehouse

CDW Research Hub

JULY 22, 2019

Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake.

Data Warehouse

Data Warehouse Business Intelligence Structured Data Data Architecture

Understanding Structured and Unstructured Data

Sisense

APRIL 26, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Structured vs unstructured data.

Unstructured Data

Unstructured Data Data Warehouse Structured Data Data mining

Successfully conduct a proof of concept in Amazon Redshift

AWS Big Data

MARCH 27, 2024

Amazon Redshift is 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. The first diagram illustrates the architecture before using data sharing.

Testing

Testing Data Warehouse Metrics Cost-Benefit

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 Consulting Data-driven Structured Data

Transforming Big Data into Actionable Intelligence

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data analytics case study: SkullCandy.

Big Data

Big Data IoT Data Warehouse Data-driven

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. Choose Confirm.

Sales

Sales Data Warehouse Visualization Testing

Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake

Data Lake Data Warehouse Sales Data-driven

How SumUp made digital analytics more accessible using AWS Glue

AWS Big Data

JUNE 6, 2023

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. Unless, of course, the rest of their data also resides in the Google Cloud. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data. It consists of full-day and intraday tables.

Analytics

Analytics Data Lake Testing Optimization

Why companies need to accelerate data warehousing solution modernization

IBM Big Data Hub

APRIL 24, 2023

Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions. By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement.

Data Warehouse

Data Warehouse Data Lake Cost-Benefit Enterprise

Configure end-to-end data pipelines with Etleap, Amazon Redshift, and dbt

AWS Big Data

JULY 12, 2023

This blog post is co-written with Zygimantas Koncius from Etleap. Organizations use their data to extract valuable insights and drive informed business decisions. Introduction to Amazon Redshift Amazon Redshift is a fast, fully-managed, self-learning, self-tuning, petabyte-scale, ANSI-SQL compatible, and secure cloud data warehouse.

Data Warehouse

Data Warehouse Modeling Dashboards Data Lake

Create a Value Blizzard with Snowflake and Microsoft Azure

CDW Research Hub

DECEMBER 4, 2019

There are many benefits of using a cloud-based data warehouse, and the market for cloud-based data warehouses is growing as organizations realize the value of making the switch from an on-premises data warehouse.

Data Warehouse

Data Warehouse Data mining Data Lake Dashboards

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 Strategy

Implement slowly changing dimensions in a data lake using AWS Glue and Delta

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. Run the AWS Glue job Confirm if you see the employee dataset in the path s3://scd-blog-landing/dataset/employee/. Delete the stack from the AWS CloudFormation console.

Data Lake

Data Lake Testing Snapshot Sales

Building Better Data Models to Unlock Next-Level Intelligence

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. This design philosophy was adapted from our friends at Fishtown Analytics.).

Modeling

Modeling Big Data IoT Data Warehouse

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 Strategy Data Strategy

Six Strategies for Advancing Customer Knowledge: Bringing Data Together

Cloudera

JANUARY 11, 2018

These are the solutions that help us better capture customer data (across systems and touchpoints), open up that data to advanced analytics, and build data products that deliver insights and actions to customers. In this blog we will focus on the critical first step to advancing customer knowledge. .

Strategy

Strategy Data Warehouse Cost-Benefit Marketing

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 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 Strategy Data Strategy

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 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 Strategy Data 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 Strategy Data Strategy

Check Out the Second Video in Our Snowflake Tutorial Series

CDW Research Hub

APRIL 28, 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

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 Strategy Data 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

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

CDW Research Hub

APRIL 28, 2020

Over 50 data connectors to Azure Blob Storage for Microsoft and other relational databases. Functionality designed to amplify the benefits of Snowflake (semi-structured data support and warehouse scalability). In-depth integration with Azure services designed for the cloud.

Data-driven

Data-driven Analytics Consulting ROI

Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data

Unstructured Data Cost-Benefit Metadata Machine Learning

Sirius About Snowflake: Get Instant Insights via ThoughtSpot

CDW Research Hub

JANUARY 21, 2021

Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. To help you better understand the ins and outs of using Snowflake and its unique features, we’ve developed a demo series called Sirius About Snowflake.

Data Warehouse

Data Warehouse Dashboards Structured Data Predictive Analytics

Data Leaders Brief

Differentiating Between Data Lakes and Data Warehouses

Data science vs data analytics: Unpacking the differences

Webinars

Trending Sources

Why optimize your warehouse with a data lakehouse strategy

Webinars

Snowflake: A New Blueprint for the Modern Data Warehouse

Understanding Structured and Unstructured Data

Successfully conduct a proof of concept in Amazon Redshift

Unleash Fast Data Insights With Snowflake and ThoughtSpot

Transforming Big Data into Actionable Intelligence

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

Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

How SumUp made digital analytics more accessible using AWS Glue

Why companies need to accelerate data warehousing solution modernization

Configure end-to-end data pipelines with Etleap, Amazon Redshift, and dbt

Create a Value Blizzard with Snowflake and Microsoft Azure

Watch the Seventh Video in Our Snowflake Tutorial Series

Implement slowly changing dimensions in a data lake using AWS Glue and Delta

Building Better Data Models to Unlock Next-Level Intelligence

Watch the Ninth Video in Our Snowflake Tutorial Series

Six Strategies for Advancing Customer Knowledge: Bringing Data Together

Watch the Eleventh Video in Our Snowflake Tutorial Series

Watch the Tenth Video in Our Snowflake Tutorial Series

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

Watch the Third 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

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

Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS

Sirius About Snowflake: Get Instant Insights via ThoughtSpot

Stay Connected