Enterprise data warehouse management

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Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts

This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.

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Enterprise data warehouse management News

July 28, 2020 28 Jul'20
Data accuracy vendor boosts MDM data quality

Naveego's latest platform update introduces a new user interface that looks to make it easier for users to integrate different data sources while ensuring data quality.
July 23, 2020 23 Jul'20
Starburst advances Presto to handle Hadoop data better

Enterprise Presto SQL vendor Starburst updated its data query platform with expanded support for legacy Hadoop workloads as well as modern cloud data lake deployments.
July 15, 2020 15 Jul'20
Azure partner Aparavi takes on unstructured data management

Aparavi retired its Active Archive and File Protect & Insight products and brought their features to its new cloud-based data management and automation platform launched on Azure.
July 08, 2020 08 Jul'20
SODA Foundation launches to unify open source data management

A new Linux Foundation-sponsored group will support open source data management and promote interoperability between applications and data sources, on premises or cloud-based.

Enterprise data warehouse management Get Started

Bring yourself up to speed with our introductory content

10 types of biases that affect customer data analysis

Analytics can help businesses make data-driven decisions, but common cognitive biases can skew how organizations interpret the information and CX. Continue Reading
data preparation

Data preparation is the process of gathering, combining, structuring and organizing data so it can be used in business intelligence (BI), analytics and data visualization applications. Continue Reading
big data analytics

Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make... Continue Reading

Evaluate Enterprise data warehouse management Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Key to data management in oil and gas is stability

Ensuring quality data management and analytics comes from following best practices, proper commitment from your organization and sticking with the plan. Continue Reading
How to choose the right database to fit your data model(s)

Choosing the right database for your enterprise applications can be a difficult process. Read on for some considerations on data platforms and model needs before making the choice. Continue Reading
Key factors for successful data lake implementation

There are many important parts to a data lake implementation, from technology to governance. Read on for the top factors to evaluate in your implementation strategy. Continue Reading

Manage Enterprise data warehouse management

Learn to apply best practices and optimize your operations.

Top 5 feature engineering tips for better models

From understanding a model's expected goal to factoring in subject matter expertise, experts talk about the best ways to improve your feature engineering. Continue Reading
Data integration technologies unify multiple data stores

Manual data integration can still benefit small and medium businesses, but a prolonged manual process can slow and detract from actionable work by data professionals. Continue Reading
Big data security management embraces governance, privacy

Cyberattacks, GDPR and CCPA compliance, and COVID-19 present serious security and privacy challenges for managers tasked with protecting their data stores. Continue Reading

Problem Solve Enterprise data warehouse management Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Common data lake challenges and how to overcome them

Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
What data lake governance challenges do organizations face?

Consultant Anne Marie Smith details five challenges that an organization may face in applying data governance policies to data lakes and offers advice on how to overcome them. Continue Reading
Breaking down data silos with strong data governance

Not having a single source of truth can be a huge issue for data professionals. But strong data governance policies can prevent data silos and lead to better-quality data. Continue Reading