Big data management
Big data management is the organization, administration and governance of large volumes of both structured and unstructured data.. See complete definition.
New & Notable
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.
Big data management News
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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.
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July 07, 2020
07
Jul'20
Informatica expands enterprise data catalog capabilities
Informatica brought new features to its enterprise data catalog, including Data Asset Analytics, a tool to help organizations understand the value of their data.
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June 23, 2020
23
Jun'20
Databricks AI in next-generation transportation
Virgin Hyperloop turned to Databricks to horizontally scale out and speed up its processes as it works to create a new form of transportation.
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June 09, 2020
09
Jun'20
Snowflake files for IPO after months of speculation
Cloud data warehouse vendor Snowflake took a major step toward going public on Tuesday, filing an initial public stock offering with the Securities and Exchange Commission.
Big data management Get Started
Bring yourself up to speed with our introductory content
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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
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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
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smart city
A smart city is a municipality that uses information and communication technologies (ICT) to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare. Continue Reading
Evaluate Big data management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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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
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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
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10 chief data officer trends that are reshaping the role
The chief data officer role is appearing in more industries and changing in responsibilities. Experts talk about the ways the position is evolving across enterprises. Continue Reading
Manage Big data management
Learn to apply best practices and optimize your operations.
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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
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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
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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 Big data management Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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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
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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
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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