AWS Big Data

NOVEMBER 17, 2023

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables. This mechanism allows developers to focus on preparing the SQL files per the business logic, and the rest is taken care of by dbt.

Snapshot 111

Snapshot Data Processing Testing Data Warehouse 111

CIO Business Intelligence

JANUARY 20, 2023

The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. Benefits of BI BI helps business decision-makers get the information they need to make informed decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

APRIL 3, 2024

Snowflake integrates with AWS Glue Data Catalog to access the Iceberg table catalog and the files on Amazon S3 for analytical queries. This greatly improves performance and compute cost in comparison to external tables on Snowflake , because the additional metadata improves pruning in query plans.

Data Lake 121

Data Lake Snapshot Metadata Data Architecture 121

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Loading data into Iceberg tables with CDE.

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

AWS Big Data

MARCH 10, 2023

These transactional data lakes combine features from both the data lake and the data warehouse. You can simplify your data strategy by running multiple workloads and applications on the same data in the same location. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration 112

Data Integration Data Lake Statistics Data-driven 112

AWS Big Data

MARCH 2, 2023

There is an increased need for data lakes to support database like features such as ACID transactions, record-level updates and deletes, time travel, and rollback. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. The snapshot points to the manifest list.

Data Lake 136

Data Lake Data Processing Metadata Snapshot 136

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. The concept of the edge is not new, but its role in driving data-first business is just now emerging.

IoT 98

IoT Internet of Things Data Warehouse Machine Learning 98

IBM Big Data Hub

APRIL 8, 2024

In this session:   IBM and AWS discussed the benefits and features of this new fully managed offering spanning availability, security, backups, migration and more. Can Amazon RDS for Db2 be used for running data warehousing workloads? At what level are snapshot-based backups taken?   13.

Snapshot 68

Snapshot Data Warehouse Data Processing Management 68

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. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. It definitely depends on the type of data, no one method is always better than the other. That’s the reward.

Insurance 150

Insurance Risk IoT Data-driven 150

Sisense

APRIL 7, 2020

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

Cloudera

JULY 14, 2023

However, as there are already 25 million terabytes of data stored in the Hive table format, migrating existing tables in the Hive table format into the Iceberg table format is necessary for performance and cost. They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data.

Snapshot 70

Snapshot Data Warehouse Metadata Testing 70

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 112

Metrics Statistics Data Warehouse Cost-Benefit 112

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.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Problem with too many snapshots Everytime a write operation occurs on an Iceberg table, a new snapshot is created.

Optimization 59

Optimization Strategy Snapshot Metadata 59

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. He works backward from customer’s use cases and designs data solutions to solve their business problems.

Data Lake 118

Data Lake Unstructured Data Management Snapshot 118

Cloudera

MAY 13, 2021

Suggesting workloads that should move to public cloud and understanding the public cloud costs. In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. After moving to CDP, take a snapshot to use as a CDP baseline. Maintain SLA.

Management 73

Management Data Warehouse Interactive Reporting 73

AWS Big Data

JANUARY 17, 2024

Transaction data lake use case Amazon EMR customers often use Open Table Formats to support their ACID transaction and time travel needs in a data lake. Another popular transaction data lake use case is incremental query. The following are some highlighted steps: Run a snapshot query. %%sql

Data Lake 115

Data Lake Snapshot Big Data Data-driven 115

Wayne Yaddow

MARCH 14, 2025

Snapshot testing augments debugging capabilities by recording past table states, facilitating the identification of unforeseen spikes, declines, or abnormalities before their effect on production systems. Workaround: Use Git branches, tagging, and commit messages to trackchanges.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

AWS Big Data

MARCH 3, 2023

Any time new test cases or test results are created or modified, events trigger such that processing is immediate and new snapshot files are available via an API or data is pulled at the refresh frequency of the reporting or business intelligence (BI) tool. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Dashboards 52

Jet Global

JULY 30, 2021

Whether it is a sales performance dashboard, a snapshot of A/R collections, a trends analysis dashboard, a marketing performance app, or a variance-to-Year 12-month view report, EPM reporting can be a powerful tool in helping your organization meet its objectives. Step 6: Drill into the Data. Profit and Loss with Trend Analysis.

Reporting 52

Reporting Metrics Dashboards Sales 52

FineReport

MAY 31, 2023

In today’s dynamic business environment, gaining comprehensive visibility into financial data is crucial for making informed decisions. In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 97

Data Lake Data Analytics Analytics Data Processing 97

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake 89

Data Lake Data Governance Data Warehouse Modeling 89

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. Because of its distributed nature, Presto scales for petabytes and exabytes of data. It lands as raw data in HDFS.

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

Cloudera

OCTOBER 10, 2024

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

Optimization 84

Optimization Snapshot Data Lake Cost-Benefit 84

CIO Business Intelligence

NOVEMBER 25, 2024

The company wanted to leverage all the benefits the cloud could bring, get out of the business of managing hardware and software, and not have to deal with all the complexities around security, he says. She realized HGA needed a data strategy, a data warehouse, and a data analytics leader.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

Jet Global

NOVEMBER 14, 2022

That might be a sales performance dashboard for your Chief Revenue Officer, a snapshot of “days sales outstanding” (DSO) for the A/R collections team, or an item sales trend analysis for product management. Oracle Hyperion and Oracle PBCS are valued for their robust capabilities, for example, but those typically come at a high cost.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

JULY 24, 2023

While they typically emphasize the benefits of the cloud for their clients, they understand the advantages for themselves as well. Most companies say that the added costs of the cloud are offset by other savings, such as eliminating hardware and data center expenses. Still, the disparity in price remains a hurdle for customers.

Reporting 52

Reporting Operational Reporting Data Warehouse Enterprise 52

Jet Global

JUNE 3, 2024

Costing, procurement, subcontractor management, and labor combine to create a level of intricacy that businesses in other sectors don’t have to contend with. Spreadsheets become cumbersome for intricate projects, leading to error-prone data consolidation and version control nightmares.

Reporting 52

Reporting Finance Operational Reporting Software 52

Jet Global

MAY 4, 2022

That brings tremendous benefits for small and midsize businesses, but it also leads to increased challenges arising from the inherent complexity of the underlying data. There is yet another problem with manual processes: the resulting reports only reflect a snapshot in time.

Reporting 52

Reporting Finance Software Consulting 52