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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.

image/svg+xml 94% 94 59 59% 30% 11% consider data governanceimportant or essential forbig data1. use two or more clouds forstorage, processing, andanalytics3. have a dedicated dataquality team2. use data quality toolswidely across theorganization2. and but only and at the same time Limited resources Lots of scattered data

The consequences of ungoverned big data are dire.

S

Data swamps

Data lakes turn into data swamps, leading to wasted storage costs and underutilization of data.

S

Lack of data security

Data protection and privacy are even more complicated than in traditional data environments.

I

Lack of understanding

Data people lack data discovery tools and waste time finding data, understanding it, and preparing it.

P

Poor data quality

Data people cannot trust the data and data engineers are constantly under pressure to fix data pipelines.

O

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

Ensure data quality on any data volume, reliably and without code

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.

Best of all, run processing directly on the data lake

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.

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Millions in unpaid balances

That’s how much First Data (now Fiserv) uncovered thanks to data cleansing and enrichment in the PoC phase.

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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.

All the tools for data governance in ONE platform

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Big Data Management Resources

Demo
D.

Data Governance

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Demo
R.

Reference Data Management

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Demo
M.

Master Data Management

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Demo
D.

Data Preparation

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Demo
D.

Data Lineage

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Demo
D.

Data Catalog

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Demo
B.

Big Data Processing

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Demo
D.

Data Quality

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Blog
Ataccama ONE Gen2: Your Questions Answered

Ataccama ONE Gen2: Your Questions Answered

Our answers to the most frequent questions about Ataccama ONE Gen2.

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Whitepaper
Bloor Research: (Cloud) Data Management (Platforms)

Bloor Research: (Cloud) Data Management (Platforms)

In this 2020 Market Update, browse data management market requirements, learn…

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We have launched Ataccama ONE Gen2!

We have launched Ataccama ONE Gen2!

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Whitepaper
Bloor Research Ataccama ONE Product Evaluation

Bloor Research Ataccama ONE Product Evaluation

Get your free copy of the Bloor Research analyst report evaluating the Ataccama…

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Whitepaper
Information Difference MDM Landscape 2020

Information Difference MDM Landscape 2020

Get your free copy of the report to learn why Ataccama was named the Master…

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Whitepaper
Data Quality will Rule the Market

Data Quality will Rule the Market

Find out five business opportunities which can deliver considerable benefits…

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Data Management is Key to Containing Covid-19 and Future Pandemics

Data Management is Key to Containing Covid-19 and Future Pandemics

Robust data management principles and processes are necessary for smart…

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Data Catalogs: Accelerating Analytics and Data Quality Operationalization

Data Catalogs: Accelerating Analytics and Data Quality Operationalization

Read this blog post to see how a data catalog can accelerate data discovery,…

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Augmented Data Lineage: What It Is, and Why It Matters

Augmented Data Lineage: What It Is, and Why It Matters

Read this blog post to learn what augmented data lineage is and how business…

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Success Story
Centralized reference data management on AWS

Centralized reference data management on AWS

RSA implemented Ataccama’s Reference Data Management solution on AWS to…

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Success Story
U.

UK charitable organization

The charity implemented Ataccama ONE MDM to master and consolidate enterprise…

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Success Story
Improved logistics and optimized merchandizing

Improved logistics and optimized merchandizing

The retailer leveraged Ataccama for in-place data lake processing with Spark to…

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Ataccama ONE is a full stack data management platform.
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