AWS Big Data

SEPTEMBER 12, 2024

We use leading-edge analytics, data, and science to help clients make intelligent decisions. We developed and host several applications for our customers on Amazon Web Services (AWS). Neptune ingests both structured and unstructured data, simplifying the process to retrieve content across different sources and formats.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

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 94

Data Processing Data Warehouse Enterprise Visualization 94

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

JUNE 14, 2023

To accomplish this, we will need additional data center space, more storage disks and nodes, the ability for the software to scale to 1000+PB of data, and increased support through additional compute nodes and networking bandwidth. Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

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 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

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.

Dashboards 122

Dashboards Metrics KPI Data-driven 122

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. To build a SQL query, one must describe the data sources involved and the high-level operations (SELECT, JOIN, WHERE, etc.)

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. This is automatically set on hosts with a Solr Server or Gateway role in Cloudera Manager.

Dashboards 84

Dashboards Data Processing Unstructured Data Management 84

datapine

FEBRUARY 22, 2022

In the article, he pointed to a pretty fascinating trend: “Experian has predicted that the CDO position will become a standard senior board-level role by 2020, bringing the conversation around data gathering, management, optimization, and security to the C-level.” We love that data is moving permanently into the C-Suite.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

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

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). What does DDE entail? Get your DDE instance up and running.

Snapshot 71

Snapshot Unstructured Data Dashboards Interactive 71

IBM Big Data Hub

JANUARY 16, 2024

It helps identify energy or carbon hotspots to develop an optimization roadmap. This varies based on workload characteristics; for instance, in the media or streaming industry, data transmission over the network and storing large unstructured data sets consume considerable energy.

IT 84

IT Cost-Benefit Metrics Consulting 84

Cloudera

OCTOBER 7, 2021

Also included, business and technical metadata, related to both data inputs / data outputs, that enable data discovery and achieving cross-organizational consensus on the definitions of data assets. When it comes to data movement outside the boundaries of Data Products (i.e.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

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. Streaming data analytics. . There it is.

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

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

IBM Big Data Hub

FEBRUARY 2, 2023

Misconception 3: All data warehouse migrations are the same, irrespective of vendors While migrating to the cloud, CTOs often feel the need to revamp and “modernize” their entire technology stack – including moving to a new cloud data warehouse vendor.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Ontotext

NOVEMBER 22, 2020

Businesses wanted a way to make pie and not an in-depth understanding of forward-chaining, inferential explosion or SPARQL optimizations. Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Cloudera

AUGUST 31, 2020

Specifically, the busy hour simulation clearly identified that 95% of the legacy data warehouse queries could run on Hive LLAP with minor tweaks. By sustaining 30 Queries per Second (QPS) right off the bat, SMG was confident Hive LLAP could support the required concurrency with just a few optimizations. .

Management 66

Management Slice and Dice Data Warehouse Analytics 66

Ontotext

DECEMBER 1, 2023

It was hosted by Ashleigh Faith, Founder at IsA DataThing, and featured James Buonocore, Business Consultant at EPAM, Lance Paine, and Gregory De Backer CEO at Cognizone. Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata.

Metadata 78

Metadata Sales Machine Learning Consulting 78

erwin

SEPTEMBER 16, 2024

Improved data visibility and understanding : erwin Data Modeler offers intuitive visualization tools that make complex data relationships easy to interpret, fostering better decision-making across the organization. Improved Data Visibility and Understanding User Interface Enhancements – erwin Data Modeler 14.0

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

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

IBM Big Data Hub

DECEMBER 4, 2023

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images.

Insurance 53

Insurance Digital Transformation Risk Management Interactive 53

Ontotext

NOVEMBER 2, 2023

This is partly because integrating and moving data is not the only problem. The data itself is stored in a way that is not optimal for extracting insight. Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today.

IT 69

IT Cost-Benefit Data-driven Technology 69

IBM Big Data Hub

JULY 6, 2023

An online hospitality company uses data science to ensure diversity in its hiring practices, improve search capabilities and determine host preferences, among other meaningful insights. The company made its data open-source, and trains and empowers employees to take advantage of data-driven insights.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

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. This accessibility of data is vital to business growth, but has also resulted in a significant increase in risk.

Management 40

Management Risk Risk Management Data Processing 40

bridgei2i

APRIL 23, 2020

How much will the bank’s bottom line be impacted depends on a host of unknowns. Better Forecasting and Optimization. They also have to assess loss forecasting and reserving based on new data sources. Improving bottom lines with AI-powered upsell and cross-sell suggestions also becomes possible. Learn MORE.

Risk 52

Risk Management Scorecard Forecasting 52

CIO Business Intelligence

OCTOBER 23, 2024

Maximizing the potential of data According to Deloitte’s Q3 state of generative AI report, 75% of organizations have increased spending on data lifecycle management due to gen AI. When I came into the company last November, we went through a data modernization with AWS,” Bostrom says. “We You’ve heard of network as code?”

Cost-Benefit 136

Cost-Benefit Enterprise Testing Consulting 136

CIO Business Intelligence

FEBRUARY 18, 2025

Assuming the data platform roadmap aligns with required technical capabilities, this may help address downstream issues related to organic competencies versus bigger investments in acquiring competencies. The same would be true for a host of other similar cloud data platforms (Databricks, Azure Data Factory, AWS Redshift).

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90

AWS Big Data

JANUARY 29, 2025

This configuration allows you to augment your sensitive on-premises data with cloud data while making sure all data processing and compute runs on-premises in AWS Outposts Racks. Additionally, Oktank must comply with data residency requirements, making sure that confidential data is stored and processed strictly on premises.

Big Data 89

Big Data Data Analytics Analytics Interactive 89