Monte Carlo

JUNE 28, 2022

Traditionally, data lakes held raw data in its native format and were known for their flexibility, speed, and open source ecosystem. By design, data was less structured with limited metadata and no ACID properties. Unity Catalog The Unity Catalog unifies metastores, catalogs, and metadata within Databricks.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog. You can produce code, discover the data schema, and modify it.

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

JUNE 26, 2023

Why the Lakehouse Needs Data Observability Data lakes create a ton of unique challenges for data quality. Data lakes often contain larger datasets than what you’d find in a warehouse, including massive amounts of unstructured data that wouldn’t be possible in a warehouse environment.

Data Lake 52

Data Lake Metadata Bytes Google Cloud 52

AltexSoft

OCTOBER 3, 2022

While DBpedia uses Wikipedia data to enrich the graph, the Wikidata graph developed and launched in 2012 is designed to store knowledge that will be used already in Wikipedia (mostly for filling infoboxes and tables on the page) in many available languages. General scenarios of using knowledge graphs.

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52