Cloudera
OCTOBER 13, 2020
In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. That Was Then. New Services.
erwin
JANUARY 11, 2019
Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. If you want more control over and more value from all your data, join us for a demo of erwin MM.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Alation
AUGUST 11, 2022
The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.
AWS Big Data
JUNE 29, 2023
Kinesis Data Analytics for Apache Flink In our example, we perform the following actions on the streaming data: Connect to an Amazon Kinesis Data Streams data stream. View the stream data. Transform and enrich the data. Manipulate the data with Python. Choose Automotive Demo.
FineReport
APRIL 21, 2024
However, users note limitations in advanced analytics, customization, data transformation challenges, and issues with offline access and slow loading times for large datasets. Its interface combines spreadsheet-like usability with SQL power, enabling users to analyze data without coding.
AWS Big Data
OCTOBER 27, 2023
Efficiency : Data transformation tasks that previously took weeks or months can now be accomplished within minutes, optimizing efficiency. Before you can store data in Amazon S3, you must create an S3 bucket to store the results. Enter a globally unique Name for your bucket; for example, awsglue-demo.
AWS Big Data
APRIL 27, 2023
With these features, you can now build data pipelines completely in standard SQL that are serverless, more simple to build, and able to operate at scale. Typically, data transformation processes are used to perform this operation, and a final consistent view is stored in an S3 bucket or folder.
Expert insights. Personalized for you.
100 
Let's personalize your content