2017 Data Analytics Data Lake 
AWS Big Data
AUGUST 9, 2024
With the ever-increasing volume of data available, Dafiti faces the challenge of effectively managing and extracting valuable insights from this vast pool of information to gain a competitive edge and make data-driven decisions that align with company business objectives. We started with 115 dc2.large
CIO Business Intelligence
JUNE 24, 2022
We use a combination of technologies to build what you can think of traditionally as ‘consumer 360,’” says Kumbhat, referring to a sales and support strategy that aggregates data from across the enterprise to provide a single, comprehensive view of the customer. The blueprint for business transformation.
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CIO Business Intelligence
JULY 17, 2023
My prominent achievements include managing the intricate implementation of GST and its setup in L&T in 2017 and at Havmor, where I recently completed 5 years, the SAP S4 HANA Greenfield implementation. During the last decade, I have led digital transformation initiatives which added two lac hours of productivity for various organizations.
CIO Business Intelligence
MARCH 14, 2024
But the real benefit of advanced data analytics and automation tools is the dramatic reduction in business-critical system outages because IT is alerted before a blocking problem occurs.
Cloudera
DECEMBER 19, 2018
Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.
AWS Big Data
JUNE 6, 2023
In the following code, replace the EKS endpoint as well as the S3 bucket then run the script: /bin/spark-submit --class ValueZones --master k8s://EKS-ENDPOINT --conf spark.kubernetes.namespace=data-team-a --conf spark.kubernetes.container.image=608033475327.dkr.ecr.us-west-1.amazonaws.com/spark/emr-6.10.0:latest amazonaws.com/spark/emr-6.10.0:latest
Alation
FEBRUARY 13, 2020
In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.
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