Data Processing Metadata Unstructured Data Visualization 
AWS Big Data
MARCH 7, 2024
You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.
Cloudera
SEPTEMBER 1, 2020
DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). Coordinates distribution of data and metadata, also known as shards.
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CIO Business Intelligence
JUNE 14, 2023
Admittedly, it’s still pretty difficult to visualize this difference. Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth.
Cloudera
AUGUST 16, 2021
Apache Nifi is a powerful tool to build data movement pipelines using a visual flow designer. Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Users access the CDF-PC service through the hosted CDP Control Plane. and later).
Cloudera
NOVEMBER 22, 2021
Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . public, private, hybrid cloud)?
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