- Data Lake, Data Warehouse
- and Analytics
HOW ORGANIZATIONS LIKE YOURS CAN LEVERAGE DATA LAKES AND ANALYTICS TO CREATE GREATER BUSINESS IMPACT
Organizations are tasked with managing multiple data types from many varied sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Modern Data Lakes represent an increasingly popular approach to store and analyze data (both structured and unstructured), via a central repository, that addresses the need to delivery insights in a timely manner with both agility and flexibility. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand .
WHY BUILD A DATA LAKE ON AWS? |
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AWS provides a highly scalable, flexible, secure, and cost-effective platform for your organization to build a Data Lake – a data repository for both structured and unstructured data. With a Data Lake on AWS, your organization no longer needs to worry about structuring or transforming data before storing it. You can analyze data on-demand without knowing what questions you’re going to ask upfront.
BENEFITS OF A DATA LAKE ON AWS
Security and Compliance
Easily encrypt all of the data in your AWS-based Data Lake. Achieve PCI DSS, HIPAA, and other regulatory compliance standards with AWS.
Most Complete Platform
Leverage all of the benefits of AWS including agility, security, flexibility, and a lower Total Cost of Ownership (TCO). Take advantage of AWS’s broad and deep set of big data services to drive new insights.
Flexibility
Store all your data, regardless of volume or format, using Amazon Simple Storage Service (Amazon S3). Easily ingest data in a variety of ways, including leveraging Amazon Kinesis, AWS Snowball, AWS Direct Connect, and more.
AWS DATABASE SERVICES
RESOURCES
Case Study
Eliza Corporation – Building a HIPAA Compliant Data Lake on AWS
Get a jumpstart on your AWS
Data Lake with NorthBay
A SET OF PACKAGED PROFESSIONAL SERVICES TO HELP YOU GET STARTED
NorthBay has developed a fast and efficient services package that enables your organization to implement a use case in a fixed time frame and fixed budget
- Make your insights intelligible
- with Data Warehouse on AWS
MOVE. STORE. REPORT.
Operational and transactional systems grow in any large enterprise and form the silos of information that are hard to report on. Building a Data Warehouse enables separation of reporting from transactional data stores, organizes the data suitable for query and allows slicing/dicing. Data from disparate sources is brought together via Extract Transform Load (ETL) and ingestion through Map Reduce (Hadoop) tool-set into the warehouse. Business Intelligence (BI) front-end tools enable the consumers of data query the data.
OTHER DATA WAREHOUSE TECHNOLOGIES WE USE
THREE PILLARS OF DATA WAREHOUSING
VOLUME
The analysis of outcomes begins in part with analyzing the volume of expected data from each data source and its projected growth over time. Terabytes are very common.
VELOCITY
The rate at which data is being generated determines the rate at which the consumption and ingestion of data must scale to.
VARIETY
Variation in terms of values, cases and business rules also is crucial for understanding and ingesting the data into the data warehouse to allow the business to succeed with the best results and business impact.
RESOURCES
Get a jumpstart on your
Data Warehouse with NorthBay
AWS REDSHIFT HEALTH CHECK
NorthBay will provide 1 day of on-site consulting services to help assess suitability and match for an AWS Redshift solution for the selected organization and group.
JUMPSTART YOUR AWS REDSHIFT IMPLEMENTATION
Benefit from a 60-day set of packaged professional services to help AWS customers prove-out, pilot, and/or accelerate their AWS Redshift initiative.
NorthBay will provide 1 day of
on-site consulting services to help
assess suitability and match for an
AWS Redshift solution
- Analytics
- Unlock the Intelligence inside your data with AWS Analytics
COLLECT. ANALYZE. MODEL.
A broad spectrum of industries is taking advantage of Amazon Web Services to build Big Data Analytics to meet the ever-increasing volume being generated. With AWS we have a complete end-to-end suite of big data services to meet these needs – all on-demand, on the cloud, and with scale. Big Data with AWS provides solutions for every stage of the Big Data lifecycle. From Collection, Streaming and Storage, to using relational databases, managed warehouse, NoSQL and processing real-time data streams and elastic Hadoop processing.
SOME OF OUR CLIENTS INCLUDE
FOUNDATIONAL
BIG DATA ANALYTICS
TOOLS INCLUDE
ANALYZE
For interactive analysis, Amazon Athena makes it easy to analyze data directly in S3 and Glacier using standard SQL queries. For operational analytics such as application monitoring, log analytics and clickstream analytics, we use Amazon Elasticsearch Service and for dashboards and visualizations, NorthBay recommends Amazon QuickSight.
ETL PROCESSING
The powerful Apache Hadoop framework is available with Elastic Map Reduce (EMR) as a managed and auto-scaling service. Allows you to run your Big Data workloads in the cloud with ease. With AWS Kinesis you have the ability to process real-time large streams of Big Data alleviating you from the hassle of infrastructure.
DATABASES
Amazon Redshift provides fast, petabyte-scalable, fully managed Data Warehouse as a service for fraction of price. Enough to hold any and all kinds of Big Data. Coupled with Dynamo DB for NoSQL storage and managed RDMBS instances there is a full spectrum available for the Data Warehouse in the cloud.
RESOURCES
Get a jumpstart on Analytics with NorthBay
JUMPSTART YOUR AWS REDSHIFT IMPLEMENTATION