Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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 60

Machine Learning Data Science Statistics Deep Learning 60

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 102

Data Lake Sales Data Warehouse Snapshot 102

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

IBM Big Data Hub

OCTOBER 3, 2023

These applications are all hosted on the IBM Cloud to ensure uninterrupted availability. Managers can also use the AI models to analyze structured and unstructured data to compare players, estimate the potential upside and downside of starting a particular player and assess the impact of an injury.

Modeling 96

Modeling Statistics Consulting Unstructured Data 96

AWS Big Data

FEBRUARY 1, 2024

It includes massive amounts of unstructured data in multiple languages, starting from 2008 and reaching the petabyte level. In the training of GPT-3, the Common Crawl dataset accounts for 60% of its training data, as shown in the following diagram (source: Language Models are Few-Shot Learners ). It is continuously updated.

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. About the Authors Raj Ramasubbu is a Sr. Sundeep Kumar is a Sr.

Data Lake 77

Data Lake Visualization Dashboards Insurance 77

datapine

JUNE 5, 2019

Let’s kick things off by asking the question: what is a data dashboard? Exclusive Bonus Content: Ready to make analytics straightforward? Learn all about data dashboards with our executive bite-sized summary! What Is A Data Dashboard? When it comes to business intelligence, data dashboards play a pivotal role.

Dashboards 316

Dashboards KPI Sales Visualization 316

Sisense

OCTOBER 6, 2020

The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Quantitative data is often viewed as the bedrock of your business intelligence and analytics program because it can reveal valuable insights for your organization. It’s generated by a host of sources in different ways.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

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. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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. Open AWS Glue Studio. Choose ETL Jobs.

Data Lake 102

Data Lake Metadata Snapshot Recreation/Entertainment 102

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

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.

Data Lake 73

Data Lake Testing Interactive Unstructured Data 73

CIO Business Intelligence

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

AUGUST 31, 2020

New data formats can be added in LLAP easily through the flexibility provided by Hive. Moreover, LLAP drastically reduces traditional Hive overhead when executing SQL, enabling near real time queries and ad-hoc analytics. Oalva brought years of big data, data warehouse and Hadoop expertise to the table.

Slice and Dice 63

Slice and Dice Management Data Warehouse Analytics 63

IBM Big Data Hub

SEPTEMBER 7, 2023

At IBM we know that businesses can’t afford to take such risks, so our Granite models are trained on data scrutinized by our own “HAP detector,” a language model trained by IBM to detect and root out hateful and profane content (hence “HAP”), which is benchmarked against internal as well as public models.

Modeling 106

Modeling Risk Unstructured Data Enterprise 106

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Streaming data analytics. . Vendors come and go.

Cost-Benefit 73

Cost-Benefit Big Data ROI Risk 73

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Data Processing 89

Data Processing Data Warehouse Enterprise Visualization 89