Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Data Virtualization

NOVEMBER 24, 2022

Reading Time: 4 minutes My previous post explained that, in my mind, the data lakehouse differs hardly at all from the traditional data warehouse architectural design pattern (ADP). It consists largely of the application of new cloud-based technology to the same requirements and constraints.

Data Warehouse 52

Data Warehouse Data Integration Technology Management 52

AWS Big Data

APRIL 29, 2024

In the realm of big data, securing data on cloud applications is crucial. This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 92

Management Big Data Metadata Data Warehouse 92

CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. First, we had complete buy-in from the board and the rest of the management team. So what’s the change management lesson here? But it’s not that simple.

Modeling 114

Modeling Management IT Metrics 114

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 91

Management Data Warehouse Metrics Dashboards 91

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

BI-Survey

JANUARY 15, 2023

Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all. Data & analytics users are surprisingly patient.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

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 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Analytics Vidhya

OCTOBER 25, 2023

Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.

Management 205

Management Strategy Enterprise Analytics 205

Alation

APRIL 25, 2023

That depends on who you serve, where you operate, and what types of data you’re trying to manage. But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

CIO Business Intelligence

NOVEMBER 28, 2023

To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 118

Management Data Architecture Data Lake Data Strategy 118

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 58

Data Warehouse Dashboards Testing Visualization 58

Data Virtualization

APRIL 13, 2022

Reading Time: < 1 minute The Denodo Platform, based on data virtualization, enables a wide range of powerful, modern use cases, including the ability to seamlessly create a logical data warehouse. Logical data warehouses have all of the capabilities of traditional data warehouses, yet they.

Data Warehouse 52

Data Warehouse Marketing Data Integration Management 52

Alation

JANUARY 26, 2023

What’s worse, just 3% of the data in a business enterprise meets quality standards. There’s also no denying that data management is becoming more important, especially to the public. This has spawned new legislation controlling how data can be collected, stored, and utilized, such as the GDPR or CCPA.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Alation

APRIL 25, 2023

That depends on who you serve, where you operate, and what types of data you’re trying to manage. But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

AWS Big Data

FEBRUARY 27, 2024

In this post, we explore how Bluestone uses AWS services, notably the cloud data warehousing service Amazon Redshift , to implement a cutting-edge data mesh architecture, revolutionizing the way they manage, access, and utilize their data assets. This enables data-driven decision-making across the organization.

Data-driven 91

Data-driven Data Lake Data Quality Data Governance 91

Jet Global

MARCH 4, 2024

Modern businesses thrive on accurate, timely data. But when it comes to managing your SAP system, it can be easy to get lost in the data maze. Navigating the Data Maze: Challenges in the SAP Landscape For SAP users, data management can feel like a labyrinth, fraught with obstacles and frustrating dead ends.

Management 52

Management Data Governance Reporting Software 52

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

CIO Business Intelligence

MAY 28, 2022

New partnerships with Oracle, Microsoft Azure and Google Cloud are highlighting Informatica’s strategy to dominate the market for data management products by offering integrations that cut down the time and complexity of data migration, management and engineering tasks. Informatica eyes data management dominance.

Management 105

Management Data Warehouse Software Strategy 105

Octopai

DECEMBER 12, 2021

What is a metadata management tool? If you have no way of organizing your metadata, it quickly gets added to the data pile up and becomes a liability itself. To keep your data landscape traversable and understandable, you need a metadata management tool. What are examples of metadata management tools?

Metadata 93

Metadata Management Data Quality Data Governance 93

CIO Business Intelligence

MAY 27, 2022

New partnerships with Oracle, Microsoft Azure and Google Cloud are highlighting Informatica’s strategy to dominate the market for data management products by offering integrations that cut down the time and complexity of data migration, management and engineering tasks. Informatica eyes data management dominance.

Management 99

Management Data Warehouse Software Strategy 99

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

Data Virtualization

MARCH 7, 2024

Reading Time: 3 minutes As we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in.

Management 59

Management Data Integration Strategy Data Lake 59

DataKitchen

DECEMBER 7, 2021

This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

erwin

JANUARY 11, 2019

But the attempts to standardize data across the entire enterprise haven’t produced the desired results. A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management.

Data Governance 40

Data Governance Risk Metadata Management 40

Data Virtualization

JANUARY 25, 2024

Reading Time: 3 minutes As we head into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies.

Management 59

Management Data Integration Strategy Data Lake 59

Octopai

APRIL 24, 2023

This new native integration enhances our data lineage solution by providing seamless integration with one of the most powerful cloud-based data warehouses, benefiting data teams and enabling support for a broader range of data lineage, discovery, and catalog.

Cost-Benefit 96

Cost-Benefit Data-driven Data Warehouse Data Governance 96

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters, and more than 30 non-relational structured query language databases, relational database management systems and data warehouses.

Analytics 175

Analytics Data Warehouse Business Intelligence Software 175

David Menninger's Analyst Perspectives

JANUARY 22, 2021

Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data.

Data Lake 265

Data Lake IT Data Warehouse Data Governance 265

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 72

Metadata Data Lake Data Processing Data-driven 72

AWS Big Data

DECEMBER 15, 2023

Many companies identify and label PII through manual, time-consuming, and error-prone reviews of their databases, data warehouses and data lakes, thereby rendering their sensitive data unprotected and vulnerable to regulatory penalties and breach incidents. For our solution, we use Amazon Redshift to store the data.

Data Lake 99

Data Lake Data Warehouse Big Data Structured Data 99

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Competitive Advantages to using Big Data Analytics. Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. To effectively use raw data, it often needs to be curated within a data warehouse.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57