AWS Big Data

MAY 21, 2024

LINQ , AVB’s proprietary product information management system, empowers their appliance, consumer electronics, and furniture retailer members to streamline the management of their product catalog. Floor sales use AVB’s Hub , a custom in-store customer relationship management (CRM) product, which relies on LINQ.

Manufacturing 100

Manufacturing Sales Optimization Data Processing 100

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). We have cataloging inside Datasphere: It allows you to catalog, manage metadata, all the SAP data assets we’re seeing,” said JG Chirapurath, chief marketing and solutions officer for SAP. “We

Unstructured Data 120

Unstructured Data Dashboards Business Intelligence Data Governance 120

AWS Big Data

JANUARY 10, 2024

With this feature, managed clusters can achieve 99.99% availability while remaining resilient to zonal infrastructure failures. During the query phase of a search request, the coordinator determines the shards to be queried and sends a request to the data node hosting the shard copy.

Metadata 101

Metadata Broadcasting Data Processing Modeling 101

AWS Big Data

JULY 14, 2023

Producers prioritized ownership, governance, access management, and reuse of their datasets. We decided to build a scalable data management product that is based on the best practices of modern data architecture. With this structure in place, we then needed to add governance and access management.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

CIO Business Intelligence

SEPTEMBER 23, 2022

To better understand why a business may choose one cloud model over another, let’s look at the common types of cloud architectures: Public – on-demand computing services and infrastructure managed by a third-party provider and shared with multiple organizations using the public Internet. Public clouds offer large scale at low cost.

Data Processing 90

Data Processing Metadata Cost-Benefit Risk Management 90

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Managed : Dedicated resources, managed and adjusted with KPIs.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Ontotext

FEBRUARY 21, 2024

RAG and Ontotext offerings: a perfect synergy RAG is an approach for enhancing an existing large language model (LLM) with external information provided as part of the input prompt, or grounding context. So we have built a dataset using schema.org to model and structure this content into a knowledge graph.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

CIO Business Intelligence

APRIL 28, 2023

To better understand why a business may choose one cloud model over another, let’s look at the common types of cloud architectures: Public – on-demand computing services and infrastructure managed by a third-party provider and shared with multiple organisations using the public internet. Public clouds offer large scale at low cost.

Data Processing 54

Data Processing Metadata Cost-Benefit Risk Management 54

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Metadata 102

Metadata Modeling Data Processing Unstructured Data 102

AWS Big Data

MARCH 26, 2024

It connects to more than 70 data sources and helps you build extract, transform, and load (ETL) pipelines without having to manage pipeline infrastructure. You could also consider using Amazon Managed Streaming for Apache Kafka (Amazon MSK) for streaming events in real time. times better performance than the self-managed version.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

Alation

MAY 19, 2022

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. And its applications are growing.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. Click To Tweet How knowledge graphs power data mesh and data fabric The second day’s keynote continued the idea of reframing the way we approach knowledge graph construction and enterprise data management.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

JULY 20, 2023

The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table. Apache Hive, Apache Spark, Presto, and Trino can all use a Hive Metastore to retrieve metadata to run queries.

Data Lake 83

Data Lake Metadata Data Processing Big Data 83

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis.

Data Processing 99

Data Processing Metadata Informatics Interactive 99

Cloudera

AUGUST 26, 2021

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . awsAccessKey=s3-spark-user/HOST@REALM.COM. import boto3.

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications.

Cost-Benefit 97

Cost-Benefit Visualization Modeling Machine Learning 97

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This means having the ability to define and relate all types of metadata.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

MARCH 19, 2024

further simplifies integration with artificial intelligence (AI) and machine learning (ML) models, facilitating the implementation of semantic search. Combining lexical and vector search improves the quality of search results by using their best features in a hybrid model. OpenSearch Service 2.11 OpenSearch Service 2.11

Data Processing 70

Data Processing Modeling Machine Learning Metadata 70

Cloudera

OCTOBER 7, 2021

The need for a decentralized data mesh architecture stems from the challenges organizations faced when implementing more centralized data management architectures – challenges that can attributed to both technology (e.g., difficulty to achieve cross-organizational governance model).

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 88

Enterprise Data Warehouse Snapshot Cost-Benefit 88

Cloudera

APRIL 21, 2022

So how exactly is the EHR managing petabytes of data? Most of the massive data-management tasks DoD faces fall into that area where data, analytics, and the cloud intersect. The centerpiece of MHS Genesis is Cerner’s Millennium services management platform, which provides hosted software-as-a-service functionality in the cloud.

Metadata 84

Metadata Informatics Insurance Data Processing 84

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. . Limited flexibility to use more complex hosting models (e.g.,

Data Processing 89

Data Processing Data Warehouse Enterprise Visualization 89

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

JUNE 14, 2023

Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Focus on scalability. Consider data types.

Unstructured Data 65

Unstructured Data IT Manufacturing Visualization 65

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data Mesh is a concept used to help scale a company’s data footprint in a manageable way. It is also agnostic to where the different domains are hosted. Data mesh conceptual hierarchy.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 93

Data Governance Metadata Enterprise Data Processing 93

AWS Big Data

JANUARY 22, 2024

Data engineers were finding it increasingly challenging to maintain and scale the data infrastructure, resulting in data access, data silos, and inefficiencies in data management. This will be further detailed when we discuss the AWS Identity and Access Management (IAM) roles used, because one of the roles is dedicated to the business group.

Data-driven 90

Data-driven Advertising Metadata Data Architecture 90

Octopai

MARCH 16, 2020

Access all your business intelligence processes and information from wherever you are, on a single centralized cloud metadata platform. When so many organizations are still managing their data environment with on-premise, automated tools make it possible to work remotely, without having to physically be in the office to get the job done. .

Business Intelligence 52

Business Intelligence Metadata Data Processing Reporting 52

AWS Big Data

MARCH 10, 2023

Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. The Data Catalog provides a central location to govern and keep track of the schema and metadata.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

AWS Big Data

JULY 20, 2023

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. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Rita Sallam

APRIL 2, 2023

To extend the Bake-Off experience to a broader range of vendors, including smaller innovators, we also did a series of Show Floor Showdowns for analytics and BI, data science and machine learning and for data management. This reinforces the demand for workload management and separate optimization techniques.

Optimization 52

Optimization Machine Learning Insurance Risk 52

AWS Big Data

MARCH 30, 2023

Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads. Amazon EMR on EKS , a managed Spark framework on Amazon EKS, enables you to run Spark jobs with benefits of scalability, portability, extensibility, and speed.

Data-driven 75

Data-driven Metadata Testing Management 75

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. They also manage crucial infrastructure such as the Tsunami Warning System and the National Hurricane Center. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Domino Data Lab

OCTOBER 1, 2020

This process of creating duplicate versions of the data not only takes a lot of time (typically months) and increases storage costs (which quickly add up when talking about petabytes of data), but also becomes a management nightmare. So what does this look like? client('s3') obj = s3.get_object(Bucket='clinical-trials',

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Ontotext

NOVEMBER 22, 2020

is to provide clients with a developer-friendly and an open-source approach to make the building and managing of knowledge graphs simpler, faster, and less expensive. Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects. Developer-Friendly Semantic Technology.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake.

Metadata 85

Metadata Data Lake Optimization Strategy 85