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 123

Data Lake Data Processing Metadata Snapshot 123

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. OpenSearch Service provides support for native ingestion from Kinesis data streams or MSK topics.

Data Lake 98

Data Lake Unstructured Data Management Modeling 98

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier.

Data Warehouse 108

Data Warehouse Analytics Snapshot Cost-Benefit 108

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. Data aggregation is another key benefit the cloud delivers.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

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 101

Data Lake Snapshot Big Data Data-driven 101

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

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 102

Analytics Data Warehouse Testing Dashboards 102

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

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Starting from the CDW Public Cloud DWX-1.6.1

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

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 75

Snapshot Data Warehouse Data Processing Management 75

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. 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

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. mode("append").save(s3_output_folder)

Data Lake 84

Data Lake Data Analytics Analytics Data Processing 84

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 92

Metrics Statistics Data Warehouse Cost-Benefit 92

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Why should Chief Data & Analytics Officers care about data security?

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.

Data Lake 120

Data Lake Metadata Optimization Statistics 120

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 69

Management Data Warehouse Interactive Reporting 69

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

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. While aggregating, summarizing, and aligning to a common information model, all transformations must not affect the integrity of data from its source.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. These types of queries are suited for a data warehouse.

Data Warehouse 85

Data Warehouse Data Lake OLAP Cost-Benefit 85

IBM Big Data Hub

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. Every day, millions of riders use the Uber app, unwittingly contributing to a complex web of data-driven decisions. Consider the magnitude of Uber’s footprint.

OLAP 91

OLAP Data Lake Data-driven Snapshot 91

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 69

Data Lake Data Governance Data Warehouse Modeling 69

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

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