Welcome to the Women in Cloud blog series, showcasing the talent of women who are working in our Cloud groups at Accenture.
Storing big data in the AWS Cloud can be a cost-effective advantage for enterprises. So can accessing big data for analytics to generate insights that drive better decisions to improve operations, customer interactions or other pertinent business processes.
Kari Krieg, asset and offering development lead for Accenture’s Data Engineering (DE) practice, helps make big data and analytics projects easier for Accenture teams to deliver to clients.“What does big data for analytics mean to me? Building analytical and visual models using a Hadoop or similar big data environment to quickly gain insights into data by performing exploratory analytics.”
“My team and I make sure Accenture is focused on providing business solutions using Hadoop distributions like Cloudera and Hortonworks on AWS. We also work with other cloud-based big data technologies like Redshift and S3 as storage, Dynamo DB as noSQL, ElasticSearch and Lambda as serverless, and other AWS-native technologies,” Kari said.
“And we produce big data accelerators and jump-start kits that standardize and fast-track Accenture’s delivery of big data services, whether supporting on premises, in the cloud or on the Accenture Insights Platform (AIP),” she added.
Kari played an important role in developing the Accenture AWS Business Group (AABG) Big Data and Analytics offering. She worked on an AWS Edition of the Accenture Insights Platform. The AWS Edition has an integrated set of data and analytics services from Amazon and is HITRUST certified. It helps accelerates the design and deployment of data-driven business solutions on AWS through the combined leadership of Accenture’s industry analytics services and AWS’s industrialized technology. The optimized platform offers integrated AWS data and analytic services, a commercial model and enterprise support.
By moving #BigData to #AWScloud, the enterprise gains an edge on costs – #WomenInCloud's Kari Krieg:
Modernizing her role in data engineering
Kari started with Accenture in 2004 and has worked in data management throughout her tenure. In that time, the field has changed considerably, which has led to an exciting evolution in her career path.
“One of today’s focal points for data engineering is modernization. Data management issues have not changed but companies need to think about data management differently with big data. Plus, there are many new technologies available now that can be leveraged to accomplish even more,” Kari said.
She particularly likes her asset and offering development role because she can grow her technical skills, while honing her project management skills. “And with more emphasis on modern data management with big data, I really like how I can bring my previous experience in data integration and data management and combine it with my new big data knowledge to solve business problems,” Kari said.
As just one example, the Accenture Data Engineering practice developed an internal assessment and rationalization methodology for data warehouse migrations to Hadoop. “If an Accenture client wants to offload their data from a relational database, this asset guides our Accenture project delivery team on the steps and methods to take, as well as provides examples of how the methodology was implemented using various tools,” Kari said.
Another popular internal asset is the Data Engineering viewpoint, technology demo and reference implementations on governing big data.
Extending her role to people advocacy
In addition to day-to-day data engineering work, Kari volunteers internally as the North American Analytics Consulting People Advocacy Lead. “Our group is distributed all over the US and Canada so I help connect our people and engage them so they feel part of a larger community,” she said. This includes planning networking events like outings to baseball games, lunch-and-learn events or happy hours.
The most popular activities Kari organizes are the Managing Director Dinner Series and the Regional Managing Director in Residence sessions—both of which give Accenture people some quality time to talk with Accenture Analytics Consulting Managing Directors about whatever is on their minds.
Speaking of quality time, Kari and her husband, who also works for Accenture, have two children. “With my husband traveling during the week, weekends are reserved for family time…or should I say chauffeur time as we take our kids to their many activities,” she quips.
“In all honesty, I love almost every minute of our drives because I can catch up on what’s going on in my children’s lives at school or with their friends. It’s like collecting my own personally meaningful data.”