AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 81

Metrics Data Warehouse Dashboards Snapshot 81

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Table data storage mode – There are two options: Historical – This table in the data lake stores historical updates to records (always append).

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

JANUARY 24, 2023

It contains references to data that is used as sources and targets in AWS Glue ETL (extract, transform, and load) jobs, and stores information about the location, schema, and runtime metrics of your data. The Data Catalog organizes this information in the form of metadata tables and databases.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

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.

Data Lake 85

Data Lake Snapshot Metadata Optimization 85

O'Reilly on Data

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Versioning.

IT 346

IT Testing Experimentation Software 346

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Corinium

APRIL 25, 2019

Yes, definitely! The last 10+ years or so have seen Insurance become as data-driven as any vertical industry. For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Sisense

JANUARY 6, 2020

Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data. By applying complex logic, you can more seamlessly build data models and gain fast, more advanced analysis. To achieve this, first requires getting the data into a form that delivers insights. Daily snapshot of opportunities – a summary.

Sales 91

Sales Forecasting Snapshot Management 91

Cloudera

SEPTEMBER 17, 2020

Because DE is fully integrated with the Cloudera Shared Data Experience (SDX), every stakeholder across your business gains end-to-end operational visibility, with comprehensive security and governance throughout. Some of the key entities exposed by the API: Jobs are the definition of something that DE can run.

Visualization 102

Visualization Metrics Statistics Optimization 102

AWS Big Data

JUNE 21, 2023

These types of queries are suited for a data warehouse. The goal of a data warehouse is to enable businesses to analyze their data fast; this is important because it means they are able to gain valuable insights in a timely manner. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 81

Data Warehouse Data Lake OLAP Cost-Benefit 81

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 106

Data Lake Management Metrics Data Warehouse 106

AWS Big Data

MARCH 3, 2023

spark_travel_details" limit 10; The table (native Delta table) has been created and updated to the AWS Glue Data Catalog from the EMR Serverless application code. Athena supports reading native Delta tables and therefore we can read the data successfully even though the Data Catalog shows only a single array column.

Data Lake 84

Data Lake Dashboards Metrics Metadata 84

Alation

AUGUST 26, 2021

And types of metadata — or data about data — abound. Some high-level metadata categories in a data catalog include: Behavioral : Records who is using data, and how they are using it. Technical: Shows schema or table definitions. Business: Policies on how to handle different kinds of data appropriately.

Metadata 64

Metadata Data Governance Dashboards Software 64