AWS Big Data

MAY 24, 2023

Load data into the Iceberg table While inserting the data, we partition the data by review_date as per the table definition. In that case, we have to query the table with the snapshot-id corresponding to the deleted row. We expire the old snapshots from the table and keep only the last two. impl":"org.apache.iceberg.aws.s3.S3FileIO",

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

AWS Big Data

JUNE 12, 2023

Therefore, it’s crucial to keep the schema definition in the Schema Registry and the Data Catalog table in sync. After the processed data is stored in Amazon S3, we create an AWS Glue crawler to create a Data Catalog table that acts as a metadata layer for the data. Provide parameter values as listed in the following table.

Management 80

Management Metadata Testing Internet of Things 80

AWS Big Data

MAY 10, 2023

Although most classes of failures discussed so far in this post refer to binary failures where the failure is definitive, there is another kind of failure: non-binary failures, termed gray failures , whose manifestations are subtle and usually defy quick detection.

Snapshot 94

Snapshot Testing Metadata Management 94

Sisense

JANUARY 6, 2020

Plus, it unifies Salesforce metrics and definitions into one data model that becomes a single source of truth for your company, meaning there’s no question about the accuracy of data and no conflict between teams about what’s accurate. Daily snapshot of opportunities that’s derived from a table of opportunities’ histories.

Sales 91

Sales Forecasting Snapshot Management 91

Cloudera

NOVEMBER 13, 2020

Metadata Caching. This is used to provide very low latency access to table metadata and file locations in order to avoid making expensive remote RPCs to services like the Hive Metastore (HMS) or the HDFS Name Node, which can be busy with JVM garbage collection or handling requests for other high latency batch workloads.

Optimization 144

Optimization Metadata Statistics Cost-Benefit 144

Alation

JULY 28, 2022

There are tools to replicate and snapshot data, plus tools to scale and improve performance.” You really need to understand the metadata and data definitions around different data sets,” Kirsch says. Yet the cloud, according to Sacolick, doesn’t come cheap. “A

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

AWS Big Data

MARCH 3, 2023

You can successfully query and explore the data through Athena or Spark applications, but the schema definitions for individual columns aren’t updated in Data Catalog with this approach. A Delta table manifest contains a list of files that make up a consistent snapshot of the Delta table.

Data Lake 84

Data Lake Dashboards Metrics Metadata 84

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions. dbt also supports impact analysis, which helps identify the downstream effects of changes.

Data Lake 104

Data Lake Management Metrics Data Warehouse 104

DataKitchen

AUGUST 8, 2023

However, the market for Data Observability is fragmented and lacks a standard accepted definition, leading to confusion and tool adoption issues. Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key. Data Intelligence and Metadata. Data intelligence is fueled by metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64