CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. Go to your asset in your data project and choose Generate summary to obtain the detailed description of the asset and its columns.

Metadata 111

Metadata Metrics Data-driven Contextual Data 111

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 116

Data Lake Statistics Broadcasting Optimization 116

AWS Big Data

SEPTEMBER 12, 2024

Now, evidence generation leads (medical affairs, HEOR, and RWE) can have a natural-language, conversational exchange and return a list of evidence activities with high relevance considering both structured data and the details of the studies from unstructured sources. Overview of solution The solution was designed in layers.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

AWS Big Data

AUGUST 15, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

Data Quality 111

Data Quality Visualization Metadata Key Performance Indicator 111

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format. The following screenshot shows an example C360 dashboard built on QuickSight.

Data Strategy 105

Data Strategy Strategy Data Warehouse Prescriptive Analytics 105

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 118

Data-driven Advertising Metadata Data Architecture 118

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Cloudera

NOVEMBER 15, 2024

However, there is a fundamental challenge standing in the way of being successful: data. Optimized for analytics: Iceberg tables are designed to deliver analytics faster and more effectively. The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers.

Analytics 59

Analytics Metadata Snapshot Data-driven 59

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Athena is used to run geospatial queries on the location data stored in the S3 buckets. The ingestion approach is not in scope of this post. Choose Run.

Analytics 122

Analytics IoT Metadata Internet of Things 122

AWS Big Data

JUNE 26, 2024

You can build projects and subscribe to both unstructured and structured data assets within the Amazon DataZone portal. For structured datasets, you can use Amazon DataZone blueprint-based environments like data lakes (Athena) and data warehouses (Amazon Redshift).

Data Lake 119

Data Lake Data Warehouse Unstructured Data Data Governance 119

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. FINRA centralizes all its data in Amazon Simple Storage Service (Amazon S3) with a remote Hive metastore on Amazon Relational Database Service (Amazon RDS) to manage their metadata information.

Big Data 105

Big Data Data Processing Interactive Testing 105

CIO Business Intelligence

JUNE 14, 2023

Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth. Consider data types.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

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

Ontotext

JUNE 22, 2023

They frequently spend hours reading through hundreds of publications to find new insights and then confirm them with structured information. On top of that, data is sometimes unreliable , and inaccurate or missing metadata makes it hard to decide which information to trust.

Metrics 52

Metrics Statistics Visualization Data-driven 52

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. The following diagram illustrates an example workflow for CDC streaming ingestion and processing for unified customer profiles. versions).

Data Lake 122

Data Lake Unstructured Data Management Snapshot 122

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

JUNE 6, 2023

Technical challenges Data source specifics: The data in BigQuery is the export of GA 360 data and Firebase Analytics data. BigQuery uses a columnar storage format that can efficiently query semi-structured data, in the case of GA and Firebase data as arrays of structs.

Analytics 59

Analytics Data Lake Testing Optimization 59

AWS Big Data

AUGUST 16, 2023

We fetch the metadata of the users_xxxxxx table from Athena. The following are a few important considerations regarding how the Lambda function handles Iceberg table metadata changes: In this approach, target metadata takes precedence during DML operations. It’s imperative that the source and target metadata match.

Data Lake 98

Data Lake Metadata Testing Snapshot 98

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Statistics 110

Statistics Data Warehouse Metadata Data Lake 110

Cloudera

NOVEMBER 15, 2024

However, there is a fundamental challenge standing in the way of being successful: data. Optimized for analytics: Iceberg tables are designed to deliver analytics faster and more effectively. The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers.

Analytics 84

Analytics Metadata Snapshot Data-driven 84

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance.

Data Lake 98

Data Lake IoT Metadata Testing 98

AWS Big Data

NOVEMBER 14, 2024

AWS Glue – The AWS Glue Data Catalog is your persistent technical metadata store in the AWS Cloud. Each AWS account has one Data Catalog per AWS Region. Each Data Catalog is a highly scalable collection of tables organized into databases. He is a big data enthusiast and holds 14 AWS Certifications.

Data Lake 105

Data Lake Metadata Testing Data-driven 105