IBM Big Data Hub

APRIL 5, 2024

Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth. How AI and HPC deliver results faster: Industry use cases At the very heart of this lies data, which helps enterprises gain valuable insights to accelerate transformation.

Manufacturing 71

Manufacturing Testing Enterprise Modeling 71

AWS Big Data

SEPTEMBER 13, 2023

Streaming data has become an indispensable resource for organizations worldwide because it offers real-time insights that are crucial for data analytics. The escalating velocity and magnitude of collected data has created a demand for real-time analytics.

Management 89

Management Data Processing Interactive Metadata 89

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

Cloudera

JULY 18, 2023

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. For the Hive service in general, savvy and productive data engineers and data analysts will want to know: How do I detect those laggard queries to spot the slowest-performing queries in the system?

Metrics 73

Metrics Optimization Dashboards Big Data 73

AWS Big Data

MARCH 26, 2024

We are delighted to announce the release of the Data Analytics Lens. The updated Data Analytics Lens outlines the most up-to-date steps for performing an AWS Well-Architected review that empowers you to assess and identify technical risks of your data analytics platforms. What’s new in the Data Analytics Lens?

Data Analytics 55

Data Analytics Analytics Big Data Data Lake 55

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

DataKitchen

JUNE 19, 2023

Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. Given the complicated distributed systems we use to get value from data and the diversity of data, we need a simplifying framework. That idea is the Data Journey.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

IBM Big Data Hub

MARCH 4, 2024

They understand that if one area of the business adopts AI while others lag or resist it (due to valid concerns), this exacerbates issues like Shadow AI, making it challenging to implement a holistic strategy. This requires a holistic enterprise transformation. We refer to this transformation as becoming an AI+ enterprise. times higher ROI.

Enterprise 107

Enterprise ROI Risk Strategy 107

DataKitchen

JUNE 7, 2021

This is a common question that we hear from our conversations with data scientists, engineers and analysts. DataOps includes four key objectives: Measure Your Process – As data professionals, we advocate for the benefits of data-driven decision making. How can one get started given these limitations? DataOps Objectives.

Testing 130

Testing IT Measurement Data-driven 130

AWS Big Data

JUNE 6, 2023

Data is the lifeblood of modern businesses. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. AWS Glue Data Quality measures and monitors the quality of your dataset.

Data Quality 67

Data Quality Data Lake Visualization Data-driven 67

IBM Big Data Hub

AUGUST 2, 2023

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. What is data quality?

Data Quality 65

Data Quality Snapshot Data Governance Data-driven 65

IBM Big Data Hub

DECEMBER 19, 2023

This process, often referred to as the “pathway to deploy,” encompasses a series of intricate steps and decisions that can significantly impact an organization’s ability to deliver software efficiently, reliably and at scale. This helps adoption and acceleration.

Testing 82

Testing Enterprise Modeling Software 82

IBM Big Data Hub

NOVEMBER 10, 2023

Once your business has decided to switch to an enterprise resource planning (ERP) software system, the next step is to implement ERP. This is the first step to a successful enterprise resource planning integration and must be completed prior to choosing an ERP software. Which key performance indicators (KPIs) need to be tracked?

Enterprise 122

Enterprise Consulting Testing Cost-Benefit 122

AWS Big Data

SEPTEMBER 28, 2023

Based on immutable facts (events), event-driven architectures (EDAs) allow businesses to gain deeper insights into their customers’ behavior, unlocking more accurate and faster decision-making processes that lead to better customer experiences. In almost any case, choosing an event broker should not be a binary decision.

Data-driven 122

Data-driven Metrics Management Publishing 122

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. Model Validation – Prior to the use of a model (i.e.,

Risk 111

Risk Modeling IT Risk Management 111

AWS Big Data

MARCH 23, 2023

We recently announced support for AWS Lake Formation fine-grained access control policies in Amazon Athena queries for data stored in any supported file format using table formats such as Apache Iceberg, Apache Hudi and Apache Hive. Lake Formation provides an authorization and governance layer on data stored in Amazon S3.

Interactive 67

Interactive Snapshot Data Lake Software 67

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. Today, everyone expects a personalized experience in any application, and organizations are constantly innovating to increase their speed of business operation and decision making.

Analytics 111

Analytics IoT Data-driven Snapshot 111

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

IBM Big Data Hub

JULY 25, 2023

Independent research firm Verdantix recently identified IBM as a leader in their report, “ Green Quadrant: ESG Reporting and Data Management Software ” (July 17, 2023), which evaluated and provided a detailed assessment of solution providers and their product offerings.

Software 62

Software Reporting Management Data Quality 62

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Analytics 66

Analytics Testing Metrics Management 66

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

AUGUST 15, 2023

It highlights the areas of potential cost reduction and helps to allocate resources effectively. The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). The resource is terminated. What’s new?

Optimization 65

Optimization Measurement Cost-Benefit Dashboards 65

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. A successful AI strategy should act as a roadmap for this plan.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 108

Optimization Snapshot Data Lake Metadata 108

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. It might suggest a restaurant based on preferences and current popularity. How can organizations prepare for AGI?

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

datapine

OCTOBER 17, 2019

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. These reports aim at informing managers of different aspects of the business, in order to help them make better-informed decisions. What Is A Management Report? In The Beginning, Financial Reports.

Reporting 263

Reporting Management Dashboards KPI 263

Cloudera

FEBRUARY 9, 2023

Special co-author credits: Adam Andras Toth, S oftware Engineer Intern With enterprises’ needs for data analytics and processing getting more complex by the day, Cloudera aims to keep up with these needs, offering constantly evolving, cutting-edge solutions to all your data related problems.

Data Processing 79

Data Processing Data-driven Data Analytics Software 79

Smart Data Collective

AUGUST 15, 2022

Reactive AI does not store memory; therefore, it cannot rely on past experiences to inform real-time decision-making. On the other hand, limited memory AI consists of machine learning models that can extract knowledge from previously learned facts, information, events, or stored data.

Machine Learning 98

Machine Learning Sales Marketing Optimization 98

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

IBM Big Data Hub

JUNE 26, 2023

In this blog post, we’ll look beyond the basics like root cause analysis and anomaly detection and examine six strategic use cases for AIOps. The appeal of this hybrid cloud strategy is that you can have all the resources you need to assure application performance. But where to start? of global electricity use.

Digital Transformation 56

Digital Transformation Cost-Benefit ROI Data-driven 56

IBM Big Data Hub

JUNE 12, 2023

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. According to a Gartner report , poor data quality costs organizations an average of USD 12.9

Data Quality 68

Data Quality Data Governance People Analytics Data-driven 68

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for. 4 Steps in the DSLC.

Data Science 75

Data Science Testing Modeling Publishing 75

IBM Big Data Hub

NOVEMBER 21, 2023

To ease this transition for customers who are unfamiliar with running containers in production, IBM, Microsoft and Red Hat have teamed up to provide a validated architecture for running MAS on Azure Red Hat OpenShift. MAS provides organizations with a robust and modern asset management solution. x reaches end of life.

Cost-Benefit 51

Cost-Benefit Management Business Objectives Optimization 51

Ontotext

JUNE 22, 2023

Then we would be able to build strong hypotheses and run validation experiments faster, cheaper and more evidence-based. This will minimize the risk of investing resources in fundamentally wrong assumptions and will give researchers more confidence to choose top targets for validation.

Metrics 52

Metrics Statistics Visualization Metadata 52