AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

AWS Big Data

NOVEMBER 15, 2023

Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications. Data providers and consumers are the two fundamental users of a CDH dataset. billion on revenues amounting to € 142.6

Dashboards 93

Dashboards Analytics Metadata Optimization 93

Jedox

OCTOBER 22, 2020

Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new. The insights that data and modern technologies make possible are much more accurate and detailed, whether the data is structured/unstructured or internal/external.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

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. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Their cluster size of the provisioned data warehouse didn’t change.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

AWS Big Data

SEPTEMBER 7, 2023

Customers want to know how their data is being accessed, when it is being accessed, and who is accessing it. With exponential growth in data volume, centralized monitoring becomes challenging. It is also crucial to audit granular data access for security and compliance needs.

Metadata 98

Metadata Dashboards Metrics Visualization 98

Ontotext

FEBRUARY 7, 2024

However, what we usually don’t talk about when generating an asset, are the huge invisible or unplanned costs occurring at a later stage when the data needs to be made available for analysis or secondary usage. As a result, a big portion of the IT capacity in Pharma is bound by data integration. But that’s not true.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

MARCH 25, 2024

This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. What does that mean for your business? 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. With Amazon Redshift Serverless and Query Editor v2 , you can load and query large datasets in just a few clicks and pay only for what you use.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. What does that mean for your business? 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Octopai

JUNE 15, 2020

The answer hands down is automated data lineage , the key to faster impact analysis. With the insurance company’s current data architecture, the process would have no chance of being completed in time for the change. Octopai’s automated data lineage tools represent the pinnacle of modern BI organization.

Insurance 52

Insurance Metadata Business Intelligence Data Warehouse 52

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Apache Iceberg 1.2.0, and Delta Lake 2.3.0.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

Anmut

MARCH 24, 2022

After decades in the background, data is currently king of the business world. Visionary companies like Google and Amazon are renowned for figuring out the transformational power of data, using data-driven business models to achieve extraordinary success. What is a data landscape?

ROI 52

ROI Measurement Data-driven Data Transformation 52

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 99

Data Lake Unstructured Data Data Warehouse Data Quality 99

IBM Big Data Hub

JANUARY 18, 2023

And it became clear that data lake and datawarehouse are no longer enough to handle the business complexity and new workload of the enterprises. Value of the data projects are difficult to realize. Data platforms are difficult to change. Guess what? This storage architecture is inflexible and inefficient.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Cloudera

SEPTEMBER 8, 2021

In recent years there has been increased interest in how to safely and efficiently extend enterprise data platforms and workloads into the cloud. CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade.

Data Lake 75

Data Lake Enterprise Data-driven Data Strategy 75

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. This is a key component of active data governance.

Metadata 52

Metadata IT Metrics Data-driven 52

Sisense

AUGUST 28, 2019

But what does cloud-agnostic have to do with your chosen BI platform? What does it mean for your data? Let’s dive into what you should consider in a BI platform to ensure you’re protecting and future-proofing your company’s data strategy. You Should be Able to Run Your BI Platform On Any Cloud.

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Birst BI

OCTOBER 24, 2019

Data-as-a-Service (DaaS) streamlines the chaos of ungoverned data pipelines and reporting silos created by users who are eager to use data, whether they are simple data inquiries from business analysts to more complex data questions from data science teams. What is your definition of DaaS?

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Cloudera

NOVEMBER 27, 2023

This blog is a summary of what we observed there for anyone who was unable to attend or just wants to stay on top of what’s happening in streaming. This blog is a summary of what we observed there for anyone who was unable to attend or just wants to stay on top of what’s happening in streaming. Takeaway No.

Data Lake 79

Data Lake Advertising ROI Data Warehouse 79