AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 119

Data Lake Data Processing Metadata Snapshot 119

AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

Data Warehouse 99

Data Warehouse Snapshot Data Processing Management 99

AWS Big Data

MARCH 25, 2024

Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization. Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

Jet Global

APRIL 20, 2020

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). Such BI methodologies are built on a snapshot of what happened in the past.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

CIO Business Intelligence

MAY 16, 2022

The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. How edge refines data strategy. Click here for more information.

IoT 85

IoT Data Warehouse Internet of Things Machine Learning 85

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Retrieving information from Snowflake to work with in Domino. Introduction. link] becomes “test.eu-west-1”

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Delta Lake doesn’t have a specific concept for incremental queries.

Data Lake 113

Data Lake Data Warehouse Visualization Snapshot 113

AWS Big Data

JANUARY 8, 2024

With Kinesis Data Streams, you can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time. State snapshot in Amazon S3 – You can store the state snapshot in Amazon S3 for tracking.

Analytics 114

Analytics IoT Data-driven Snapshot 114

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. The idea is to store information about the deleted records in so-called delete files.

Data Warehouse 84

Data Warehouse Snapshot Metadata Cost-Benefit 84

erwin

JULY 2, 2020

They’re static snapshots of a diagram at some point in time. Data Modeling with erwin Data Modeler. a technology manager , uses erwin Data Modeler (erwin DM) at a pharma/biotech company with more than 10,000 employees for their enterprise data warehouse. This is live and dynamic.”. George H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

Laminar Security

APRIL 18, 2023

It enables data security teams to filter and group accounts by common security requirements and posture, focusing attention where it’s most needed. The dashboard provides a comprehensive view of the organization’s data, which is critical for making informed decisions about security policies and procedures.

Enterprise 52

Enterprise Management Dashboards Snapshot 52

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 96

Data Warehouse Snapshot Testing Management 96

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 77

Data Warehouse Data-driven Snapshot Testing 77

AWS Big Data

JANUARY 17, 2024

This reflects real-world data access scenarios—for example, if an engineering user needs full data access to troubleshoot on a data platform, whereas data analysts may only need to access a subset of that data that doesn’t contain personally identifiable information (PII).

Data Lake 94

Data Lake Snapshot Big Data Data-driven 94

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. Cash Management Dashboard The cash management dashboard comprises six sections that present clear data, charts, and tables, providing a comprehensive overview of key financial metrics.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

JULY 28, 2023

The GDPR (General Data Protection Regulation) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

Snapshot 84

Snapshot Metadata Measurement Data Warehouse 84

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in. Choose Create workgroup.

Analytics 97

Analytics Data Warehouse Testing Dashboards 97

AWS Big Data

MARCH 18, 2024

Load generic address data to Amazon Redshift Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Redshift Serverless makes it straightforward to run analytics workloads of any size without having to manage data warehouse infrastructure. shapes.geoid as census_group_shape ,demo.*

Data Warehouse 82

Data Warehouse Visualization Snapshot Data-driven 82

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. Data engineers can now replicate data from multiple Aurora database clusters into the same or a new Amazon Redshift instance to derive holistic insights across many applications or partitions.

Data Warehouse 86

Data Warehouse Analytics Metrics Dashboards 86

AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Take a snapshot of the source Redshift data warehouse.

Testing 66

Testing Data Warehouse Data Processing Snapshot 66

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 89

Data Warehouse Metrics Statistics Optimization 89

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance.

Data Lake 94

Data Lake Snapshot Metadata Optimization 94

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

OCTOBER 20, 2023

You can have multiple internal applications such as databases, data warehouses, or other systems where DNS names are not publicly resolvable. You can now use MSK Connect to privately connect with databases, data warehouses, and other resources in your VPC to comply with your security needs.

Data Processing 88

Data Processing Snapshot Data Warehouse Management 88

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

Cloudera

JULY 13, 2023

A range of Iceberg table analysis such as listing table’s data file, selecting table snapshot, partition filtering, and predicate filtering can be delegated through Iceberg Java API instead, obviating the need for each query engine to implement it themself. The data files and metadata files in Iceberg format are immutable.

Metadata 73

Metadata Snapshot Data Warehouse Statistics 73

AWS Big Data

APRIL 27, 2023

It supports modern analytical data lake operations such as create table as select (CTAS), upsert and merge, and time travel queries. Athena also supports the ability to create views and perform VACUUM (snapshot expiration) on Apache Iceberg tables to optimize storage and performance.

Data Lake 75

Data Lake Snapshot Optimization Data Transformation 75

AWS Big Data

MAY 24, 2023

For more information, refer to Retry Amazon S3 requests with EMRFS. RIO is really great",date("2023-04-06"),2023)""") You can check the new snapshot is created after this append operation by querying the Iceberg snapshot: spark.sql("""SELECT * FROM dev.db.amazon_reviews_iceberg.snapshots""").show()

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

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. and prescriptive (what should the organization be doing to create better outcomes?).

Business Intelligence 142

Business Intelligence Dashboards Data mining OLAP 142

Sisense

JANUARY 6, 2020

Salesforce data is extracted, transformed and loaded into a data warehouse using an ETL tool connected to the data warehouse. Then, use a data model to model the data into a single unified source of truth. Daily snapshot of opportunities that’s derived from a table of opportunities’ histories.

Sales 91

Sales Forecasting Snapshot Management 91

AWS Big Data

FEBRUARY 1, 2023

We chose DynamoDB as our metadata store, which provides the latest details to the consumers to query the data effectively. Every dataset in our system is uniquely identified by snapshot ID, which we can search from our metadata store. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

O'Reilly on Data

OCTOBER 19, 2021

Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. Enter the software development layers. Versioning.

IT 347

IT Testing Experimentation Software 347

Cloudera

MAY 13, 2021

After a job ends, WM gets information about job execution from the Telemetry Publisher, a role in the Cloudera Manager Management Service. In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. Data Engineering jobs (optional).

Management 74

Management Data Warehouse Interactive Reporting 74

AWS Big Data

OCTOBER 24, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud, providing up to five times better price-performance than any other cloud data warehouse, with performance innovation out of the box at no additional cost to you. It also logs details about the rolled back or undo transactions.

Metrics 86

Metrics Statistics Data Warehouse Cost-Benefit 86

FineReport

NOVEMBER 25, 2020

With the advent of modern dashboard reporting tools, you can conveniently visualize your data into dashboards and reports and extract insightful information from it. Key performance indicators: Dashboard reporting tools bring together data from multiple areas displaying the information as easy to understand visuals in real-time.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

Corinium

APRIL 25, 2019

Then when there is a breach, it comes as a shock, “wow, I didn’t even know that application had access to so much sensitive data”. Step One in any data security program should first be to discover and classify datasets that are sensitive, and know where that data is, and understand who really needs it to do their jobs.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Clustering data for better data colocation using z-ordering.

Data Lake 114

Data Lake Metadata Optimization Statistics 114