Data Lake Structured Data Visualization 
BizAcuity
MARCH 29, 2019
Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Deploying Data Lakes in the cloud. Best practices to build a Data Lake.
Alation
OCTOBER 21, 2021
Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Jet Global
SEPTEMBER 4, 2020
There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). Data Lakes. There has been a lot of talk over the past year or two in the D365F&SCM world about “data lakes.” Traditional databases and data warehouses do not lend themselves to that task.
Sisense
JUNE 30, 2020
In a world increasingly dominated by data, users of all kinds are gathering, managing, visualizing, and analyzing data in a wide variety of ways. One of the downsides of the role that data now plays in the modern business world is that users can be overloaded with jargon and tech-speak, which can be overwhelming.
Alation
FEBRUARY 20, 2020
By changing the cost structure of collecting data, it increased the volume of data stored in every organization. Additionally, Hadoop removed the requirement to model or structure data when writing to a physical store. The result, as many industry observers have put it, is that many data lakes become data swamps.
AWS Big Data
JANUARY 12, 2024
Ingestion: Data lake batch, micro-batch, and streaming Many organizations land their source data into their data lake in various ways, including batch, micro-batch, and streaming jobs. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.
AWS Big Data
FEBRUARY 29, 2024
However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).
Expert insights. Personalized for you.
102 
Let's personalize your content