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 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Athena provides a simplified, flexible way to analyze petabytes of data where it lives.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

JUNE 10, 2024

Cloudinary struggled to use this data for additional teams who had more online, real time, lower-granularity, dynamic usage requirements. Making petabytes of data accessible for ad-hoc reports became a challenge as query time increased and costs skyrocketed along with growing compute resource requirements. SparkActions.get().expireSnapshots(iceTable).expireOlderThan(TimeUnit.DAYS.toMillis(7)).execute()

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

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

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. Analyze the assessment report and address the action items.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

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 111

Data Warehouse Metrics Statistics Optimization 111

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. EPM reporting templates offer the perfect solution.

Reporting 52

Reporting Metrics Dashboards Sales 52

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. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse.

Data Warehouse 105

Data Warehouse Analytics Metrics Dashboards 105

IBM Big Data Hub

APRIL 8, 2024

Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS At what level are snapshot-based backups taken? Also, you can create snapshots, which are user-initiated backups of your instance kept until explicitly deleted.   Scalability 5.   13.

Snapshot 68

Snapshot Data Warehouse Data Processing Management 68

Jet Global

APRIL 20, 2020

A new paradigm in reporting and analysis is emerging. 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).

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Domino Data Lab

JANUARY 11, 2021

Part of this challenge is that many organizations seek to align their data science workflows to data warehousing patterns and practices. This means trading off granularity and latency of data for structures that make it easier to write queries that aggregate, filter and group results for reporting purposes.

Data Science 103

Data Science Recreation/Entertainment Data Warehouse Publishing 103

AWS Big Data

JANUARY 24, 2023

Data migration must be performed separately using methods such as S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication. This utility has two modes for replicating Lake Formation and Data Catalog metadata: on-demand and real-time. The utility reports the number of objects modified during its run.

Data Architecture 96

Data Architecture Metadata Data Lake Snapshot 96

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 122

Data Lake Management Metrics Data Warehouse 122

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 97

Modeling Sales Data Warehouse Snapshot 97

Cloudera

MAY 13, 2021

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. Fixed Reports / Data Engineering jobs . BI Interactive Reports or Dashboards. Report Format.

Management 73

Management Data Warehouse Interactive Reporting 73

Cloudera

DECEMBER 15, 2022

Improve performance and overall manageability of Iceberg tables using the new table maintenance capabilities such as expiring old snapshots and removing their metadata, and compaction to combine small files for more efficient data processing. Read why the future of data lakehouses is open. ORC open file format support.

Metadata 80

Metadata Data Warehouse Snapshot Machine Learning 80

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 130

Data Lake Metadata Statistics Optimization 130

CIO Business Intelligence

NOVEMBER 8, 2022

CIO.com: Can you give us a snapshot of your role and responsibilities as CPTO at Ovo? In this role, I lead Ovo’s technology, product and data teams, who provide intelligent energy technology solutions as we work towards decarbonising UK homes, an integral part of ‘plan zero’: Ovo’s journey to net zero. An example is in the data space.

Snapshot 52

Snapshot Data Warehouse Digital Transformation Data-driven 52

Cloudera

NOVEMBER 15, 2024

In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. Additionally, as threats evolve, so too must the systems and processes used to detect and respond to them.

Analytics 59

Analytics Metadata Snapshot Data-driven 59

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. SELECT * FROM "deltalake_2438fbd0"."employee"

Data Lake 103

Data Lake Testing Snapshot Big Data 103

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. Each row provides a brief description of how dbt assists in testing and reporting test results for data transformations and conversions.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Laminar Security

APRIL 18, 2023

“Clearly organizations are needing a more scalable, sustainable approach to discovering and governing cloud data.” To achieve comprehensive large enterprise cloud data management, a DSPM must include summarized global data risk reporting as well as drilled-down views based on data sensitivity, security posture or other factors.

Enterprise 52

Enterprise Management Dashboards Snapshot 52

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 96

Data Lake Data Governance Data Warehouse Data-driven 96

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). These reports include the cash flow statement, income statement, and balance sheet.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

MARCH 3, 2023

Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights. Each of these tools has its own reporting capabilities that make it difficult to combine the data for integrated and actionable business insights. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. And the support stopped there.

Metadata 64

Metadata Data Governance Dashboards Software 64

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 105

Data Warehouse Snapshot Testing Management 105

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 Data-driven 150

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. Creating reports from the ground up can be a lengthy, labor-intensive process that’s usually outsourced to the IT department.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

JUNE 3, 2024

How do you navigate the complexity of your project-based financial reporting? Don’t underestimate the power of project reporting. It’s more than just a report–it’s a strategic weapon in your arsenal. This static approach creates a lag between data collection and report generation.

Reporting 52

Reporting Finance Operational Reporting Software 52

Jet Global

OCTOBER 27, 2022

Finance teams are increasingly being asked for timely, recurring operational reports to support day-to-day decision making. The most common challenges your finance team probably faces are: lengthy report creation time, existing tool complexity, and the inability to drill into transactional data. Limited access to data.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52

Jet Global

MAY 4, 2022

This article explores the three biggest challenges associated with financial reporting. Even when you limit reporting to an isolated ERP system, complexity can be a formidable challenge. The second key challenge arises from the fact that many ERP systems lack a robust built-in reporting mechanism. Challenge 2.

Reporting 52

Reporting Finance Software Consulting 52

Jet Global

MAY 25, 2022

Financial reporting is an ideal candidate for this. By planning ahead, organizations transitioning their ERP to the cloud can ensure that the switch can take place without disrupting the financial reporting process. The Many Problems of Manual Reporting Processes. Let’s consider some ?challenges

Reporting 52

Reporting Finance Software Snapshot 52

Jet Global

NOVEMBER 7, 2023

When extracting your financial and operational reporting data from a cloud ERP, your enterprise organization needs accurate, cost-efficient, user-friendly insights into that data. While real-time extraction is historically faster, your team needs the reliability of the replication process for your cloud data extraction.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

JULY 24, 2023

Enhance Your Cloud Experience With Angles Enterprise for Oracle Cloud Applications Download Now The Burdens of Using On-Premises Data For your team, existing out-of-the-box reporting capabilities from your ERP can be a confusing mix of tools, techniques, and capabilities—especially for finance users.

Reporting 52

Reporting Operational Reporting Data Warehouse Enterprise 52

Jet Global

OCTOBER 8, 2024

Offering robust functionalities, your Oracle ERP can help overcome common finance challenges while moving beyond manual data entry into spreadsheets. Oracle’s toolbox has native tools you can use for a variety of common reports, but they leave you relying on IT to bridge the gap when it comes to completing custom and ad hoc requests.

Finance 52

Finance Forecasting Reporting Data-driven 52

Jet Global

NOVEMBER 3, 2022

For those with less experience reading financial reports, this task is far more difficult. A wave of finance teams is making that shift right now; instead of just delivering plain reports, they aim to make their reports come to life by putting the numbers in context. Interested in Financial Reporting. for group companies.

Finance 52

Finance Reporting Sales Dashboards 52