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.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

AUGUST 16, 2021

Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Since it supports both structured and unstructured data for streaming and batch integrations, Apache NiFi is quickly becoming a core component of modern data pipelines. and later).

Dashboards 122

Dashboards Metrics KPI Data-driven 122

AWS Big Data

JUNE 18, 2024

To enable multimodal search across text, images, and combinations of the two, you generate embeddings for both text-based image metadata and the image itself. Each product contains metadata including the ID, current stock, name, category, style, description, price, image URL, and gender affinity of the product.

Dashboards 118

Dashboards Metadata Modeling Visualization 118

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

Ontotext

NOVEMBER 22, 2020

Content Enrichment and Metadata Management. The value of metadata for content providers is well-established. When that metadata is connected within a knowledge graph, a powerful mechanism for content enrichment is unlocked. Ontotext Platform can be employed for a number of applications within an enterprise.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 113

Data Lake Cost-Benefit Unstructured Data Modeling 113

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Understanding the data sets to be replicated from the CDH Cluster.

Data Lake 74

Data Lake Metadata Unstructured Data Management 74

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). Coordinates distribution of data and metadata, also known as shards.

Snapshot 72

Snapshot Unstructured Data Dashboards Interactive 72

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Machine Learning 78

Ontotext

JULY 12, 2024

This enables our customers to work with a rich, user-friendly toolset to manage a graph composed of billions of edges hosted in data centers around the world. The blend of our technologies provides the perfect environment for content and data management applications in many knowledge-intensive enterprises.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. OpEx savings and probable ROI once migrated.

Cost-Benefit 77

Cost-Benefit Big Data ROI Risk 77

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs.

Metadata 129

Metadata Cost-Benefit Enterprise Interactive 129

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . public, private, hybrid cloud)?

Data Processing 100

Data Processing Data Warehouse Enterprise Visualization 100

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. In it they provide recommendations for getting started with DSPM and important considerations for DSPM solutions.

Management 40

Management Risk Risk Management Data Processing 40