Get an enterprise-wide repository to store every type of data collected in a single place, and make it easily accessible to serve multiple users, applications, platforms and analytics use cases. See for yourself – Book a free consultation today!
I have a Data Warehouse, do I still need a Data Lake?
Data Lakes can be a valuable addition to an existing Enterprise Data Warehouse as they enable clients to de-couple storage / compute resources and enable clients to access all raw enterprise data from a single repository.
“By leveraging the considerable knowledge base and experience of the Bryte team, we have achieved in 3 months what we didn’t believe we would achieve within the first year of our existence within Vocus Group.” Learn more about the Vocus case study here.– Hamish Morgan – General Manager – Analytics – Vocus Communications
Bryte works with Amazon Web Services to leverage a diverse range of specialist technologies which are combined to build cost effective, scalable and high performance Data Lakes.
Work with ANY Data
Process, standardize and store ANY Type of Data in its raw format.
No need to worry about Structure or Schema
The data structures and requirements of data in a Data Lake do not need to be defined until the data is needed.
Use Decoupled Architectures & Separate Storage/Compute
An efficient Data Lake design seeks to decouple storage and compute so the right analytics tools can be used and paid for on a needs basis.
Build for Innovation and Experimentation
Users can get fast access to data they require, to encourage innovation, experimentation and accelerated time to insight.
Integrate with multiple Analytical Platforms
Data lakes should ideally be deployed in a healthy and complete technology ecosystem that enables users to turn Data from the lake into valuable insights.
We are proud to be one of the very few companies in the world who are Amazon Advanced Technology Partners with Big Data Competency.
Ingest ANY data
Process, standardise and store ANY Data in its raw format irrespective of origin, structure or format.
Common Data Store
Consolidate all Enterprise Data in a single place across a common format with guaranteed 99.999999999% Data Durability.
Low Cost (~1-3 Cents / GB)
Store and Manage all your data from just 1-3 cents per GB per month. Economically scale to Terabytes or Petabytes.
Decoupled Storage and Compute
Independently scale storage and compute resources by using decoupled architectures. Pay for what you use when you use it.
Real Time Data Delivery
Continuously access and sync data from multiple sources so downstream users and applications have access to current data.
Rapid Time to Insight
Use the highest performance tools for the job to generate near-real time insights – including Hadoop distributions, MPP Data Warehouses and more.
Complete Metadata Management
Automated metadata extraction, capture, and tracking with high performance indexes to enable rapid lookups. Categorise, govern and manage with ease.
Encrypt all data in transit and rest with SSL endpoints, Server Side / Client Side Encryption and automated Key Management Services.
Enterprise Grade IAM
Build granular IAM policies with ease through multiple Access control lists and Query string authentication. Mask sensitive data and define granular IAM policies with ease.
Click to Mask
Mask all sensitive data with just a few clicks or use Tokenisation to manage access/visibility.
Integrate with all common Data Processing and Analysis technologies including a diverse spectrum of Hadoop Distributions.
Versioning / Lifecycle Policies
Simple retrieval of deleted objects and roll back to previous versions. Automated lifecycle policies to transition from Active Data use to mid-term store through to eventual Archiving or expiration.
Bryte is a certified AWS Big Data Partner with depth of expertise across a broad range of technologies and platforms including Amazon S3, Amazon Redshift and Hadoop on Amazon EMR.
Our team applies a flexible and modular approach. This involves starting with the most important business use cases – and then matching them with relevant data and technology platforms