I’m focused on
Big Data Management
Big data platforms and data lakes accumulate vast amounts of data. This data is usually not as well-structured and understood as the data produced by traditional data integration processes and stored in data warehouses. As a result, providing, finding, and protecting this data requires advanced data management technology.
The consequences of ungoverned big data are dire.
Data lakes turn into data swamps, leading to wasted storage costs and underutilization of data.
Lack of data security
Data protection and privacy are even more complicated than in traditional data environments.
Lack of understanding
Data people lack data discovery tools and waste time finding data, understanding it, and preparing it.
Poor data quality
Data people cannot trust the data and data engineers are constantly under pressure to fix data pipelines.
Complicated data source onboarding
Duplicate and complicated configuration of data quality transformations for each new data source.
Successful big data management includes data discovery, standardization and cleansing, self-service access to data, data preparation, and support for stream processing.
Discover your whole data lake and protect sensitive information
Connect all of your big data sources
A single place for connecting and managing your big data and non-big data sources alike.
Always have an up-to-date view of the data in your data lake or cloud data warehouse.
Search for data
Use filters and AI-augmented search to find data faster.
Automate sensitive data protection
Mask or hide sensitive data according to centrally defined policies.
Ensure data quality on any data volume, reliably and without code
Easy to configure transformations
Configure transformations and add them to a common rule library. The re-use them on any new source you add and launch on a big data processing platform of your choice. No coding.
Automated data load monitoring
When you load data to your data lake, it is automatically monitored for anomalies and data quality issues.
Share business rules and transformations between teams
With Ataccama ONE, rules and transformations are data source-agnostic, so you can freely re-use them.
Best of all, run processing directly on the data lake
Ataccama ONE integrates with industry-leading big data clusters to ensure parallel and scalable data processing, including streaming.
At the same time, your data stays in the data lake and your organization stays compliant with data residency regulations.
Here is how enterprises harness big data with Ataccama
1.5 billion records in 99 seconds
That’s how fast X5 Retail Group check product master data on demand on their data lake for product innovation.Learn more
Millions in unpaid balances
That’s how much First Data (now Fiserv) uncovered thanks to data cleansing and enrichment in the PoC phase.Learn more
110 billion records
That’s the size of data that this American F&B retailer processes with Databricks on Azure Data Lake and catalogs in the Ataccama ONE Data Catalog.
2 person days a week
That’s how much analyst and DevOps time this American F&B retailer saves thanks to automated cataloging and monitoring of their data lake.
Data GovernanceRead more
Reference Data ManagementRead more
Master Data ManagementRead more
Data PreparationRead more
Data LineageRead more
Data CatalogRead more
Big Data ProcessingRead more
Data QualityRead more
Ataccama ONE Gen2: Your Questions Answered
Our answers to the most frequent questions about Ataccama ONE Gen2.Read more
Bloor Research: (Cloud) Data Management (Platforms)
In this 2020 Market Update, browse data management market requirements, learn…Read more
We have launched Ataccama ONE Gen2!
On Nov 16, we unveiled our new platform for data management &…Read more
Bloor Research Ataccama ONE Product Evaluation
Get your free copy of the Bloor Research analyst report evaluating the Ataccama…Read more
Information Difference MDM Landscape 2020
Get your free copy of the report to learn why Ataccama was named the Master…Read more
Data Quality will Rule the Market
Find out five business opportunities which can deliver considerable benefits…Read more
Data Management is Key to Containing Covid-19 and Future Pandemics
Robust data management principles and processes are necessary for smart…Read more
Data Catalogs: Accelerating Analytics and Data Quality Operationalization
Read this blog post to see how a data catalog can accelerate data discovery,…Read more
Augmented Data Lineage: What It Is, and Why It Matters
Read this blog post to learn what augmented data lineage is and how business…Read more
Centralized reference data management on AWS
RSA implemented Ataccama’s Reference Data Management solution on AWS to…Read more
UK charitable organization
The charity implemented Ataccama ONE MDM to master and consolidate enterprise…Read more
Improved logistics and optimized merchandizing
The retailer leveraged Ataccama for in-place data lake processing with Spark to…Read more
Discover the Ataccama
Ataccama ONE is a full stack data management platform.
See what else you can do.