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

AWS Big Data

JUNE 7, 2023

For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed.

Metadata 58

Metadata Data Lake Machine Learning Big Data 58

CIO Business Intelligence

SEPTEMBER 23, 2024

For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

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. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 115

Metadata Dashboards Metrics Visualization 115

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 110

Metadata Data Lake Visualization Data Transformation 110

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue. This concept makes Iceberg extremely versatile. SparkActions.get().expireSnapshots(iceTable).expireOlderThan(TimeUnit.DAYS.toMillis(7)).execute()

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Smart Data Collective

OCTOBER 13, 2021

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

SEPTEMBER 11, 2024

AWS Transfer Family seamlessly integrates with other AWS services, automates transfer, and makes sure data is protected with encryption and access controls. Each file arrives as a pair with a tail metadata file in CSV format containing the size and name of the file. 2 GB into the landing zone daily.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

IBM Big Data Hub

APRIL 27, 2022

Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. 11 May 2021. . 3 March 2022.

Management 79

Management Metadata Data Architecture Data Lake 79

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. Data discoverability Unlike structured data, which is managed in well-defined rows and columns, unstructured data is stored as objects.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. To address this challenge, organizations can deploy a data mesh using AWS Lake Formation that connects the multiple EMR clusters. An entity can act both as a producer of data assets and as a consumer of data assets.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

erwin

FEBRUARY 4, 2021

Automate code generation : Alleviate the need for developers to hand code connections from data sources to target schema. It also makes it easier for business analysts, data architects, ETL developers, testers and project managers to collaborate for faster decision-making.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

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). Then, you transform this data into a concise format.

Data Strategy 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

Ontotext

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. With semantic metadata, enterprise data gets linked to one another and to external sources.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. If you score a 70% or higher on all three exams, you’ll be certified at the Mastery level, which demonstrates your ability to lead a team and mentor others, according to TDWI.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

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. It is a data modeling methodology designed for large-scale data warehouse platforms.

Data Warehouse 95

Data Warehouse Data Lake Cost-Benefit Metadata 95

Octopai

SEPTEMBER 27, 2023

Octopai’s real-time capabilities provide a transparent, up-to-the-moment view of data integrations across platforms like Airflow, Azure Data Factory, Snowflake, Redshift, and Azure Synapse. Instead, it’s an intuitive journey where every step of data is transparent and trustworthy.

Metadata 52

Metadata Visualization Data Integration Data-driven 52

AWS Big Data

OCTOBER 11, 2023

The data in the machine-readable files can provide valuable insights to understand the true cost of healthcare services and compare prices and quality across hospitals. The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data.

Visualization 118

Visualization Dashboards Data-driven Gap analysis 118

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift has been constantly innovating over the last decade to give you a modern, massively parallel processing cloud data warehouse that delivers the best price-performance, ease of use, scalability, and reliability. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

Data Warehouse 110

Data Warehouse Machine Learning Data-driven Data Lake 110

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider. For instructions, refer to Setting up databases and tables in AWS Glue.

Recreation/Entertainment 98

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 98

AWS Big Data

SEPTEMBER 10, 2024

AWS Glue, with its ability to process data using Apache Spark and connect to various data sources, is a suitable solution for addressing the challenges of accessing data across multiple cloud environments. Athena can then use this metadata to query and analyze the Delta table seamlessly.

Data Lake 110

Data Lake Metadata Management Software 110

Ontotext

JANUARY 26, 2023

The catalog stores the asset’s metadata in RDF. This allows keeping a well-defined representation of the metadata of each asset and enables using a SPARQL endpoint to query it. Towards that end authors introduce a system for integrity checks for building automation applications and using more reliable data for data analytics processes.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Optimization 76

Cloudera

FEBRUARY 11, 2019

Cloudera provides a unified platform with multiple data apps and tools, big data management, hybrid cloud deployment flexibility, admin tools for platform provisioning and control, and a shared data experience for centralized security, governance, and metadata management.

Management 43

Management Metadata Analytics Machine Learning 43

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 Data Science 56

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

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 71

Metadata Visualization Data-driven Optimization 71

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

JULY 20, 2023

In addition, using Apache Iceberg’s metadata tables proved to be very helpful in identifying issues related to the physical layout of Iceberg’s tables, which can directly impact query performance. These robust capabilities ensure that data within the data lake remains accurate, consistent, and reliable.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

SEPTEMBER 13, 2023

Streaming data has become an indispensable resource for organizations worldwide because it offers real-time insights that are crucial for data analytics. The escalating velocity and magnitude of collected data has created a demand for real-time analytics. This table acts as a metadata layer for the data.

Data Processing 115

Data Processing Management Interactive Metadata 115

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. For more information about checkpointing, see the appendix at the end of this post.

Management 98

Management Metadata Internet of Things Testing 98

IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

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. She is passionate about data analytics and networking. Big Data and ETL Solutions Architect, MWAA and AWS Glue ETL expert.

Testing 121

Testing Metrics Interactive Management 121

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 Data Warehouse 52

Andrew White

OCTOBER 22, 2021

Data Literacy, training, coordination, collaboration 8. Data Management Infrastructure/Data Fabric 5. Data Integration tactics 4. Metadata Strategy 3. CDO (data officer) 2. Figure 3: The Data and Analytics (infrastructure) Continuum. Business Innovation with D&A 6.

IT 52

IT Data Lake Data Science Strategy 52

Data Virtualization

JANUARY 18, 2024

Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct. The post How to Shop for Data?

Data-driven 59

Data-driven Data Integration Management Metadata 59