AWS Big Data

APRIL 3, 2024

Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time. Apache Iceberg offers integrations with popular data processing frameworks such as Apache Spark, Apache Flink, Apache Hive, Presto, and more.

Data Lake 96

Data Lake Snapshot Metadata Data Architecture 96

Ontotext

APRIL 10, 2024

“Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.”

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. These logs can track activity, such as data access patterns, lifecycle and management activity, and security events.

Metadata 101

Metadata Dashboards Metrics Visualization 101

Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). granules) of the data collection for fast search, access, and retrieval is also important for efficient orchestration and delivery of the data that fuels AI, automation, and machine learning operations. Collect, curate, and catalog (i.e.,

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

CIO Business Intelligence

MARCH 24, 2023

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

DECEMBER 1, 2023

The event held the space for presentations, discussions, and one-on-one meetings, where more than 20 partners, 1064 Registrants from 41 countries, spanning across 25 industries came together. Sumit started his talk by laying out the problems in today’s data landscapes. Abstract art and knowledge graphs: embracing your mess!

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Ontotext

JANUARY 26, 2023

” “How does this region/event compare to other regions/events?” ” To do so, KWG draws from over 30 fully integrated and semantically homogenized data layers. The catalog stores the asset’s metadata in RDF. As a result of these data quality issues, the need for integrity checks arises.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data processing Raw data is often cluttered with duplicates and irregular formats.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Who are the data owners? Data lineage offers proof that the data provided is reflected accurately.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

DataKitchen

SEPTEMBER 21, 2023

After navigating the complexity of multiple systems and stages to bring data to its end-use case, the final product’s value becomes the ultimate yardstick for measuring success. By diligently testing and monitoring data in Use, you uphold data integrity and provide tangible value to end-users.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Ontotext

JULY 29, 2021

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. Take this restaurant, for example. Enterprise Knowledge Graphs and the Semantic Web.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

SEPTEMBER 15, 2020

This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm. Knowledge Graphs are the Warp and Weft of a Data Fabric.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

FEBRUARY 1, 2023

We also used AWS Lambda for data processing. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. The data is partitioned on InputDataSetName, Year, Month, and Date.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. Data integration. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Smart Data Collective

OCTOBER 13, 2021

Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration? In forecasting future events.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. Multicloud data integration.

Management 56

Management Data Quality Metadata Data Integration 56

IBM Big Data Hub

JUNE 23, 2022

The ability to compose and re-use data services with IBM’s data fabric on IBM Cloud Pak for Data allows you to tackle a variety of use cases such as multi-cloud data integration, governance and privacy, customer 360, and MLOps and Trustworthy AI. However, we’re working to narrow that gap as much as possible.

Enterprise 52

Enterprise Metadata Data Governance Machine Learning 52

Ontotext

FEBRUARY 23, 2023

The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems.

Publishing 52

Publishing Metadata Optimization Testing 52

AWS Big Data

NOVEMBER 29, 2023

Within seconds of data being written into Aurora, you can use Amazon Redshift to do near-real-time analytics and ML on petabytes of data. Amazon DataZone is being used by companies like Guardant Health and Bristol Meyers Squibb to catalog, discover, share, and govern data across their organization.

Data Warehouse 109

Data Warehouse Data Lake Data Integration Dashboards 109

O'Reilly on Data

DECEMBER 19, 2018

If you suddenly see unexpected patterns in your social data, that may mean adversaries are attempting to poison your data sources. Anomaly detection may have originated in finance, but it is becoming a part of every data scientist’s toolkit. Tim Kraska on “How machine learning will accelerate data management systems”.

Machine Learning 258

Machine Learning Software Metadata Testing 258

Ontotext

JUNE 3, 2020

With knowledge graphs , additional facts and figures can be threaded into the collection items and the metadata related to them. Imagine a curiosity cabinet with items attached to threads (strings) of well-described semantic information, linking them to other artifacts, events, people, institutions, you name it.

Contextual Data 98

Contextual Data Metadata Digital Transformation Technology 98

AWS Big Data

SEPTEMBER 29, 2023

Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations. Analyzing XML files can also help in data integration, because many applications and systems use XML as a standard data format. This approach optimizes the use of your XML files.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. What did attendees take away from the event?

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Cloudera

NOVEMBER 8, 2022

Ozone is also highly available — the Ozone metadata is replicated by Apache Ratis, an implementation of the Raft consensus algorithm for high-performance replication. Since Ozone supports both Hadoop FileSystem interface and Amazon S3 interface, frameworks like Apache Spark, YARN, Hive, and Impala can automatically use Ozone to store data.

Metadata 82

Metadata Data-driven Management Optimization 82

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. This script automates the process of sending a specific number of requests per second to your web server, enabling you to trigger an auto scaling event.

Testing 91

Testing Interactive Metrics Management 91

AWS Big Data

OCTOBER 11, 2023

The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis. Data analysis – In this stage, the files are transformed using AWS Glue and stored in the AWS Glue Data Catalog.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

AWS Big Data

MARCH 15, 2023

Performance and scalability of both the data pipeline and API endpoint were key success criteria. The data pipeline needed to have sufficient performance to allow for fast turnaround in the event that data issues needed to be corrected. The following diagram illustrates this architecture.

Cost-Benefit 68

Cost-Benefit Data Processing Optimization Data-driven 68

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

AWS Big Data

JUNE 12, 2023

This data can come from a diverse range of sources, including Internet of Things (IoT) devices, user applications, and logging and telemetry information from applications, to name a few. By harnessing the power of streaming data, organizations are able to stay ahead of real-time events and make quick, informed decisions.

Management 82

Management Metadata Testing Internet of Things 82

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. We use Athena to run queries on data stored on Google Cloud Storage.

Recreation/Entertainment 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

Jet Global

JUNE 17, 2021

Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Following the data integrity phase, the company focused on setting up the correct processes and on rightsizing the project.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Smart DwH Mover helps in accelerating data warehouse migration.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Jet Global

MARCH 14, 2024

Jet streamlines many aspects of data administration, greatly improving data solutions built on Microsoft Fabric. It enhances analytics capabilities, streamlines migration, and enhances data integration. Through Jet’s integration with Fabric, your organization can better handle, process, and use your data.

Analytics 52

Analytics Management Reporting Enterprise 52

AWS Big Data

SEPTEMBER 13, 2023

This data originates from diverse sources, including social media, sensors, logs, and clickstreams, among others. With streaming data, organizations gain a competitive edge by promptly responding to real-time events and making well-informed decisions. This table acts as a metadata layer for the data.

Data Processing 93

Data Processing Management Interactive Metadata 93

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52