Smart Data Collective

AUGUST 30, 2022

Testing new programs. With cloud computing, companies can test new programs and software applications from the public cloud. Cloud technology allows companies to test many programs and decide which ones to launch for consumers quickly. Centralized data storage. Big data analytics.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Sisense

MARCH 20, 2019

To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-growing pile of Big Data that every company faces today. Data Warehousing.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

CIO Business Intelligence

SEPTEMBER 14, 2023

But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. Data engineer vs. data architect The data engineer and data architect roles are closely related and frequently confused.

Analytics 132

Analytics Data Science Unstructured Data Data mining 132

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

Smart Data Collective

JUNE 10, 2022

The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications.

Data Science 119

Data Science Machine Learning Statistics Business Intelligence 119

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

CIO Business Intelligence

AUGUST 9, 2022

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions. Data engineer vs. data architect.

Analytics 122

Analytics Data Science Statistics Unstructured Data 122

IBM Big Data Hub

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 77

Unstructured Data Deep Learning Cost-Benefit Modeling 77

Cloudera

OCTOBER 26, 2020

Since the inception of Cloudera Data Platform (CDP), Dell / EMC PowerScale and ECS have been highly requested solutions to be certified by Cloudera. We are excited to announce PowerScale and ECS will be moving forward with Cloudera’s Quality Assurance Test Suite certification process on CDP – Private Cloud (PvC) Base edition.

Testing 86

Testing Cost-Benefit Unstructured Data Big Data 86

IBM Big Data Hub

APRIL 8, 2024

To train a generative AI assistant to learn project management, for example, you need a strong set of unstructured data about the work and tasks required. Going forward, business leaders will also need to consider how to validate, test and certify these AI skills. That’s only the beginning.

Unstructured Data 64

Unstructured Data Testing Strategy Technology 64

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

Data-driven 91

Data-driven Sales Big Data Marketing 91

Smart Data Collective

DECEMBER 21, 2020

We previously talked about the benefits of data analytics in the insurance industry. One report found that big data vendors will generate over $2.4 Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. billion from the insurance industry.

Insurance 134

Insurance Cost-Benefit Big Data Unstructured Data 134

Smart Data Collective

DECEMBER 18, 2020

A few years ago, we talked about the benefits of using AI and big data in disaster relief. These problems put the importance of big data and AI to the test, as we strive to fight the problems they cause. A number of hurricanes have wreaked havoc on the Gulf Coast, and wildfires recently devastated the West Coast.

Cost-Benefit 89

Cost-Benefit Unstructured Data Big Data Risk 89

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. Learn more in README.

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 85

Big Data Software Consulting Unstructured Data 85

Cloudera

DECEMBER 7, 2020

As the pandemic’s stress test of e-commerce, in-store insights, supply chain visibility, and fulfillment capabilities have revealed shortcomings, and long-lasting consumer experiences— it has also allowed many companies to pivot to very successful strategies built on enterprise data and the digitization efforts that accompany it.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

IBM Big Data Hub

SEPTEMBER 7, 2023

IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. Test out watsonx.ai As one of the first companies to develop enterprise AI, IBM’s approach to AI development is guided by core principles grounded in commitments of trust and transparency. And the best part of it all?

Modeling 103

Modeling Risk Unstructured Data Enterprise 103

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. Therefore, it must be purchased separately for the dataset onboarding purposes.

Snapshot 86

Snapshot Data Lake Testing Strategy 86

AWS Big Data

MARCH 2, 2023

How Apache Iceberg addresses what customers want in modern data lakes More and more customers are building data lakes, with structured and unstructured data, to support many users, applications, and analytics tools. Data Scanned (MB) 131.55 Launch an EMR cluster with appropriate configurations for Apache Iceberg.

Data Lake 120

Data Lake Data Processing Metadata Snapshot 120

Ontotext

AUGUST 7, 2019

More importantly, it’s difficult to uncover the relationships between diseases and drugs, biomarkers and treatment, drug efficacy and side effects, which are buried in the huge volumes of structured proprietary and public datasets as well as the unstructured data coming from scientific journals. The Solution to the Data Challenge.

Unstructured Data 72

Unstructured Data Publishing Machine Learning Big Data 72

IBM Big Data Hub

JULY 6, 2023

The development of generative AI —which uses powerful foundation models that train on large amounts of unlabeled data—can be adapted to new use cases and bring flexibility and scalability that is likely to accelerate the adoption of AI significantly. It can ingest unstructured data in its raw form (e.g.,

Deep Learning 57

Deep Learning Machine Learning Unstructured Data Modeling 57

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

IBM Big Data Hub

DECEMBER 4, 2023

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

Insurance 54

Insurance Digital Transformation Risk Management Interactive 54

Sisense

OCTOBER 6, 2020

Additionally, quantitative data forms the basis on which you can confidently infer, estimate, and project future performance, using techniques such as regression analysis, hypothesis testing, and Monte Carlo simulations. Better together: Working with qualitative data and quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

JANUARY 16, 2024

of production instances: 1; OS: Ubuntu; Env: Dev, Test, UAT, Prod, DR Technologies JSPs, Servlets, Spring Framework, Log4j; no caching and session management Interfaces None Databases characteristics Database Database: 1; growth rate: 10% year-over-year Operational characteristics Server capacity t2.large grams of CO2e B.

IT 87

IT Cost-Benefit Consulting Measurement 87

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products. Install NPM. execute-api.{YOUR-REGION}.amazonaws.com/{STAGE}

Data Lake 79

Data Lake Testing Interactive Unstructured Data 79

AWS Big Data

AUGUST 15, 2023

We create an S3 bucket to store data that exceeds the Lambda function’s response size limits. The Google Cloud Platform portion of the architecture contains a few services as well: Google Cloud Storage – A managed service for storing unstructured data. After you create the bucket, upload your objects to the bucket.

Recreation/Entertainment 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

Ontotext

AUGUST 7, 2019

More importantly, it’s difficult to uncover the relationships between diseases and drugs, biomarkers and treatment, drug efficacy and side effects, which are buried in the huge volumes of structured proprietary and public datasets as well as the unstructured data coming from scientific journals. The Solution to the Data Challenge.

Unstructured Data 40

Unstructured Data Publishing Machine Learning Big Data 40

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights.

Data Lake 104

Data Lake Metadata Snapshot Recreation/Entertainment 104

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools.

Data Quality 79

Data Quality Testing Data Warehouse Unstructured Data 79

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year.

Data Lake 76

Data Lake Cost-Benefit Digital Transformation Risk 76

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 115

Data Lake Metadata Optimization Statistics 115