IBM Big Data Hub

JULY 6, 2022

starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more. It then builds historical baselines on data pipeline behavior so it can detect and alert on anomalies while the data pipelines run. Instead, Databand.ai

Metadata 56

Metadata Data Quality Snapshot Cost-Benefit 56

Jet Global

DECEMBER 19, 2019

In a cloud environment, data security is key, controlled at the data center where encryption takes place. In NetSuite’s case, its applications are separated from the data at the data center. In some cases, finance will employ the use of a power user or IT data expert to get beyond these reporting constraints.

Reporting 59

Reporting Snapshot Finance Enterprise 59

AWS Big Data

DECEMBER 13, 2023

usually a data warehouse) needs to reflect those changes in near real-time. With the explosion of data, the number of data systems in organizations has grown. Data silos causes data to live in different sources, which makes it difficult to perform analytics.

Data Warehouse 97

Data Warehouse Snapshot Data Processing Management 97

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

APRIL 17, 2024

With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud. Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics.

Optimization 113

Optimization Snapshot Metadata Cost-Benefit 113

IBM Big Data Hub

JUNE 12, 2023

A long-standing partnership between IBM Human Resources and IBM Global Chief Data Office (GCDO) aided in the recent creation of Workforce 360 (Wf360), a workforce planning solution using IBM’s Cognitive Enterprise Data Platform (CEDP). Data quality is a key component for trusted talent insights.

Data Quality 63

Data Quality Data Governance People Analytics Data-driven 63

AWS Big Data

NOVEMBER 10, 2023

Apache Spark is a widely-used open source distributed processing system renowned for handling large-scale data workloads. Amazon Redshift offers seamless integration with Apache Spark, allowing you to easily access your Redshift data on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless.

Data Processing 92

Data Processing Data Lake Data Warehouse Optimization 92

FineReport

JUNE 14, 2023

It offers a detailed breakdown of sales data by city, state, and product, along with daily sales revenue. Additionally, the report presents daily sales revenue, which gives a snapshot of the revenue generated on a daily basis. KPIs are utilized by companies to drive growth through performance enhancements.

KPI 52

KPI Reporting Key Performance Indicator Sales 52

Jet Global

JANUARY 9, 2020

They can make your business data pretty and easy to understand, no doubt. But what’s the business value of highly visualized data if it’s not accurate or if it doesn’t connect you to your actual business strategy? Business intelligence (BI) analytic tools have been all of the rage for years now. A Prettier Alternative.

Management 52

Management Analytics Visualization Dashboards 52

AWS Big Data

FEBRUARY 9, 2023

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. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 76

Data Warehouse Data-driven Snapshot Testing 76

CIO Business Intelligence

MARCH 28, 2024

The first, NetSuite Analytics Warehouse Multi-Instance Connector, enables enterprises to consolidate data from multiple NetSuite instances into a single NetSuite Analytics Warehouse environment. NetSuite is expanding on the generative AI capabilities added to its SaaS-based ERP offerings in October last year.

Snapshot 88

Snapshot Sales Finance Enterprise 88

AWS Big Data

NOVEMBER 22, 2023

Many AWS customers adopted Apache Hudi on their data lakes built on top of Amazon S3 using AWS Glue , a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. Choose Run crawler.

Data Lake 92

Data Lake Snapshot Metadata Optimization 92

AWS Big Data

MARCH 20, 2023

In this tutorial, we assume that the files are updated with new records every day, and want to store only the latest record per the primary key ( ID and ELEMENT ) to make the latest snapshot data queryable. Now your data integration job is authored in the visual editor completely. Choose Jobs.

Visualization 79

Visualization Data Lake Snapshot Big Data 79

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. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0

Data Lake 112

Data Lake Data Warehouse Visualization Snapshot 112

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. The response times for these data sources are critical to our key stakeholders.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

DataKitchen

MAY 10, 2021

Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics. Some of the DataOps best practices and industry discussion around errors have coalesced around the term “data observability.”

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

JULY 19, 2023

Usually, companies have some sort of operational source system that generates their data in its raw format. The business process is then persisted as a data mart in the form of dimensions and facts. The data (business process) needs to be integrated across various departments, in this case, marketing can access the sales data.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

O'Reilly on Data

MARCH 20, 2019

It’s also possible a malicious external actor could acquire unauthorized access to some or all of your training data and poison it. A very direct kind of data poisoning attack might involve altering the labels of a training data set. It seems entirely possible to do the same with customer or transactional data.

Modeling 227

Modeling Machine Learning Predictive Modeling Consulting 227

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca build a data lake? Why did Orca choose Apache Iceberg?

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

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. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

SEPTEMBER 12, 2022

It sounds straightforward: you just need data and the means to analyze it. What previously was nicely defined and structured data in a few fully owned and controlled places, like a data center, is now churning torrents of data of all shapes and sizes spread across edge and cloud environments. Yes and no.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

Alation

JULY 28, 2022

And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. Migrate What Matters.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Cloudera

MARCH 23, 2022

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: Apache Iceberg enables seamless integration between different streaming and processing engines while maintaining data integrity between them.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

AWS Big Data

JUNE 12, 2023

The AWS Glue Schema Registry addresses this complexity by providing a centralized platform for discovering, managing, and evolving schemas from diverse streaming data sources. Acting as a bridge between producer and consumer apps, it enforces the schema, reduces the data footprint in transit, and safeguards against malformed data.

Management 79

Management Metadata Testing Internet of Things 79

AWS Big Data

MAY 30, 2023

The reference data is continuously replicated from MySQL to DynamoDB through AWS DMS. The requirement here is to enrich the real-time stream data by joining with the reference data in near-real time, and to make it queryable from a query engine such as Amazon Athena while keeping consistency. options(**additional_options).mode("append").save(s3_output_folder)

Data Lake 80

Data Lake Data Analytics Analytics Data Processing 80

FineReport

JUNE 26, 2023

Here are several key rationales highlighting the criticality of utilizing performance reporting in business: Establishing benchmarks : Performance reports act as benchmarks by incorporating baseline data, allowing comparisons to determine the effectiveness of new projects, marketing endeavors, budgeting initiatives, and other company-wide efforts.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. Why Cloudinary chose Apache Iceberg Apache Iceberg is a high-performance table format for huge analytic workloads.

Data Lake 108

Data Lake Metadata Snapshot Analytics 108

AWS Big Data

MAY 19, 2023

In these scenarios, customers looking for a serverless data integration offering use AWS Glue as a core component for processing and cataloging data. A common use case with this data would be to gather usage metrics on principals acting on your account’s resources for auditing and regulatory needs.

Machine Learning 82

Machine Learning Metrics Big Data Management 82

erwin

MAY 17, 2021

Building on prior research, we worked with Enterprise Strategy Group (ESG) to understand how organizations are defining, adopting and prioritizing data governance, as well as examine the current drivers and challenges of governing data through its lifecycle and integration points. Other Key Findings.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

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 102

Data Lake Management Metrics Data Warehouse 102

erwin

JUNE 17, 2021

Building on prior research, we worked with Enterprise Strategy Group (ESG) to understand how organizations are defining, adopting and prioritizing data governance, as well as to examine the current drivers and challenges of governing data through its lifecycle and integration points. Other Key Findings.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

DataKitchen

JANUARY 23, 2023

What is data lineage? Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. It is used to understand the provenance of data and how it is transformed and to identify potential errors or issues. What is missing in data lineage? How does it compare?

Testing 130

Testing Data Governance Data Quality Data-driven 130

Smart Data Collective

AUGUST 21, 2022

But what is the state of AI and Big Data, right now? In this article, we take a snapshot look at the world of information processing as it stands in the present. Big data and AI have what is referred to as a synergistic relationship. The current assumption is that approximately 70% of business-related data goes unused.

Big Data 87

Big Data Cost-Benefit Sales Snapshot 87

Jet Global

MAY 4, 2022

Inventory management, MRP, project management, and customer relationship management (CRM) are now commonplace, extending or integrating with existing ERP software. 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.

Reporting 52

Reporting Finance Software Consulting 52

Jet Global

NOVEMBER 3, 2022

Microsoft Excel offers flexibility, but it’s missing so many of the elements required to assemble data quickly and easily for powerful (and accurate) financial narratives. The reports created within static spreadsheets are based on a snapshot of reality, taken the moment the data was exported from ERP. Download Now.

Finance 52

Finance Reporting Sales Dashboards 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. It can be difficult to quickly identify patterns within complicated graphs with lots of data and broadly distributed values.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

NOVEMBER 7, 2023

Add in the de facto requirement to combine all your reporting data and it presents quite a challenge. As more companies move their data into the cloud, methods for storing and managing that data also adapt and grow. This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52