Welcome!

Containers Expo Blog Authors: Liz McMillan, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui, Pat Romanski

Related Topics: @DXWorldExpo, Containers Expo Blog, @CloudExpo

@DXWorldExpo: Blog Post

Difference Between a Data Lake and a Data Warehouse | @BigDataExpo #BigData #DataLake #Storage

Data lake or data warehouse - what do they do and which one is right for you?

What Is the Difference Between a Data Lake and a Data Warehouse?
By Dave Kellermanns

The data warehouse and data lake are two different types of data storage repository. The data warehouse integrates data from different sources and suits business reporting. The data lake stores raw structured and unstructured data in whatever form the data source provides. It does not require prior knowledge of the analyses you think you want to perform.

What is a Data Lake?
A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.

What is a Data Warehouse?
A core component of business intelligence, the data warehouse is a central repository of integrated data from one or more disparate sources, and it's used for reporting and data analysis. When the board makes a strategic decision on its future, or a call center agent reviews a customer's profile-the data is typically being sourced from a data warehouse.

Which Should You Choose?
A core component of business intelligence, the data warehouse is a central repository of integrated data from one or more disparate sources, and it's used for reporting and data analysis. So when the board makes a strategic decision on its future, or a customer service agent reviews a customer's historical profile-the data is typically being sourced from a data warehouse.

Meanwhile, a data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.

For an analogous definition of a data lake, who better to turn to than the person credited with coining the phrase in the first place: James Dixon, the founder of Pentaho, the Big Data analytics company. He explains, "Think of a data warehouse as a store of bottled water-it's cleansed, packaged, and structured for easy consumption. The data lake meanwhile is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples."

We can classify the key differences like so:

1. Data Retention
Put simply, data lakes retain all data, while data warehouses do not. During the data warehouse development phase, decision are made about which data sources to use, and which business processes are required. If data isn't required to answer specific questions or in a defined report, it is often excluded from the warehouse in order to reduce cost and optimize performance. Meanwhile, a data lake stores all the data-relevant or not. This possible because the lake resides on lower-cost storage hardware

2. Data Type
Most data warehouses store transaction system data, or quantitative metrics; ignoring unstructured sources such as images, text, or sensor data. Why? Because it's expensive to store them. Data lakes aren't so picky. They absorb all data-irrespective of volume and variety. It is stored in its raw form and only transformed when it is needed. It's called "Schema on Read" vs. the "Schema on Write".

3. User
The data lake users are more cosmopolitan than those that use the data warehouse. It supports people with "Operations" in their title, who are using the data to access reporting data quickly and get analytics information to the board for accelerated decision-making. It supports the users performing more in-depth data analysis, perhaps using a data warehouse as a source and then accessing the source systems for more analysis. And the data lake supports users wanting even deeper-dive analysis. Data scientists, for example, mashing together different types of data and come up with entirely new questions to be answered.

4. Changes
Business today is all about agility; however, many data warehouses are not configured for rapid change. The complexity of the data loading process and the work done to make analysis and reporting easy, make change unnecessarily slow and expensive. Not so in the data lake. Because data is stored in its raw format and is always accessible, users can go beyond the structure of the warehouse to explore data in novel ways and answer their questions at their pace.

This is a valuable synopsis of the differences between both environments:

Data warehouse

Versus

Data lake

Structured, processed

DATA

Structured / semi-structured / structured / raw

Schema-on-write

PROCESSING

Schema-on-read

Expensive for large data volumes

STORAGE

Designed for low-cost storage

Less agile; fixed configuration

AGILITY

Highly agile; configure as required

Mature

SECURITY

Maturing

Business professionals

USERS

Data scientists et al


Read the original blog entry...

More Stories By Automic Blog

Automic, a leader in business automation, helps enterprises drive competitive advantage by automating their IT factory - from on-premise to the Cloud, Big Data and the Internet of Things.

With offices across North America, Europe and Asia-Pacific, Automic powers over 2,600 customers including Bosch, PSA, BT, Carphone Warehouse, Deutsche Post, Societe Generale, TUI and Swisscom. The company is privately held by EQT. More information can be found at www.automic.com.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the mod...
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Druva is the global leader in Cloud Data Protection and Management, delivering the industry's first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence-dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it. Druva's...
BMC has unmatched experience in IT management, supporting 92 of the Forbes Global 100, and earning recognition as an ITSM Gartner Magic Quadrant Leader for five years running. Our solutions offer speed, agility, and efficiency to tackle business challenges in the areas of service management, automation, operations, and the mainframe.
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examin...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
DSR is a supplier of project management, consultancy services and IT solutions that increase effectiveness of a company's operations in the production sector. The company combines in-depth knowledge of international companies with expert knowledge utilising IT tools that support manufacturing and distribution processes. DSR ensures optimization and integration of internal processes which is necessary for companies to grow rapidly. The rapid growth is possible thanks, to specialized services an...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Scala Hosting is trusted by 50 000 customers from 120 countries and hosting 700 000+ websites. The company has local presence in the United States and Europe and runs an internal R&D department which focuses on changing the status quo in the web hosting industry. Imagine every website owner running their online business on a fully managed cloud VPS platform at an affordable price that's very close to the price of shared hosting. The efforts of the R&D department in the last 3 years made that pos...