IBM Big Data Hub

SEPTEMBER 19, 2023

Those who work in the field of data science are known as data scientists. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

IBM Big Data Hub

MAY 19, 2023

TDC Digital struggled with operational costs due to the unpredictability of the billing system TDC Digital encountered difficulties in accurately forecasting their monthly bills due to hidden charges in the billing process.

Unstructured Data 82

Unstructured Data Data Processing Manufacturing Data Lake 82

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 101

Data Lake Visualization Optimization Interactive 101

CIO Business Intelligence

MAY 12, 2022

SPSS Modeler is a drag-and-drop tool for creating data pipelines that lead to actionable insights. Companies that need forecasting can produce forward-looking reports that depend on any mixture of statistics and machine learning algorithms, something SAS calls “composite AI.” More focused options are available for particular data sets.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

AWS Big Data

MARCH 25, 2024

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. About the Authors Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. Data quality rulesets We categorize some of the built-in AWS Glue Data Quality rule types to define the benchmark structure.

Data Quality 88

Data Quality Measurement Testing Visualization 88

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. In Cost Explorer, you can visualize daily, monthly, and forecasted spend by combining an array of available filters. The following screenshot shows the preconfigured reports in Cost Explorer.

Data Warehouse 82

Data Warehouse Management Snapshot Data Lake 82

AWS Big Data

MARCH 17, 2023

With the new dashboards embedded directly into TalentReef’s customer view, the development team is able to streamline their data ingestion process to ensure up-to-date data is available to their customers within the TalentReef platform. TalentReef’s previous reporting tool required manual efforts from development teams.

Dashboards 52

Dashboards IT Data Lake Visualization 52

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. AI and ML use decades of stock market data to forecast trends and suggest whether to buy or sell. Many stock market transactions use ML.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

CIO Business Intelligence

FEBRUARY 19, 2024

Il nuovo ruolo dell’IT: la business continuity Deligia ha costruito la sua strategia per la business continuity sulle fondamenta tecnologiche di big data , analytics, automazione e IA. Questo dialogo IT-business si basa per Italo su un’infrastruttura IT flessibile che ha numerose componenti di automazione e di IA e dà il necessario.

IT 98

IT KPI Data Lake Digital Transformation 98

AWS Big Data

JULY 13, 2023

Generating business outcomes In 4 days, the Altron SI team left the Immersion Day workshop with the following: A data pipeline ingesting data from 21 sources (SQL tables and files) and combining them into three mastered and harmonized views that are cataloged for Altron’s B2B accounts.

Optimization 88

Optimization B2B Data Quality Sales 88

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Jet Global

OCTOBER 22, 2020

As a security measure, Microsoft is closing off direct database access to live Microsoft Dynamics ERP data. The company is pointing customers to several other options, including “BYOD” (which stands for “bring your own database”) and Microsoft Azure data lakes. This leads to the second option, which is a data warehouse.

Modeling 52

Modeling OLAP Reporting Sales 52

CIO Business Intelligence

JUNE 29, 2022

Data Factory includes features such as “ code by example ” to help users build queries but also has options to use languages such as Python, Java, and.NET with Git and CI/CD support, making it particularly useful for migrating SQL Server Integration Services to Azure. Azure Data Explorer. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

IBM Big Data Hub

OCTOBER 4, 2023

With an open data lakehouse architecture approach, your teams can maximize value from their data to successfully adopt AI and enable better, faster insights. Why does AI need an open data lakehouse architecture? How does an open data lakehouse architecture support AI? from 2022 to 2026. All of this supports the use of AI.

Data Lake 86

Data Lake Metadata Cost-Benefit Data Warehouse 86

Smart Data Collective

DECEMBER 13, 2022

However, computerization in the digital age creates massive volumes of data, which has resulted in the formation of several industries, all of which rely on data and its ever-increasing relevance. Data analytics and visualization help with many such use cases. It is the time of big data.

Visualization 136

Visualization Key Performance Indicator Sales Data Lake 136

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. New data scientists can then be onboarded more easily and efficiently. Oil and Gas.

Data-driven 96

Data-driven Data Lake Data Warehouse Cost-Benefit 96

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

DECEMBER 7, 2023

Slice-and-dice analysis : OLAP allows users to slice and dice data along various dimensions, isolating specific segments for in-depth analysis. Improved decision-making Strategic planning and forecasting : OLAP helps businesses identify trends, patterns and potential risks, enabling better strategic planning and forecasting.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way. Learn more about IBM watsonx 1.

Cost-Benefit 84

Cost-Benefit Metadata Data Governance Modeling 84

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 21, 2023

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. Since then, technology has improved in leaps and bounds and data management has become more complicated.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52