Modern enterprises are insights driven. They have to serve
customers, scale, adapt, and compete — all with great efficiency. The veracity,
timeliness, and scope of their insights will determine enterprise winners and
losers. The perennial challenge faced by business insights pros is to turn the
data-to-insights wheel faster. That “wheel” includes data acquisition, data
security, data transformation, data governance, data exploration, analytics,
and machine learning that is massively scalable, performant, and fault
tolerant.
Hadoop is more than 10 years old. It has gone from a
batch-oriented storage, processing, and highly programmatic data platform to
become a cloud-enabled, highly interconnected analytical platform.
Forrester defines enterprise Cloud Hadoop/Spark (HARK)
platforms as:
Distributed computing
software and services that are rooted in open source Apache Hadoop and Apache
Spark to ingest, store, process, manage, and analyze data to generate insights
that drive business outcomes.
AWS (EMR, RDS..), Hortonworks, Cloudera
and Microsoft (Azure HDInsight) are the leaders in “The Forrester Wave™
Cloud Hadoop/Spark Platforms Q1 2019”, Google (DataProc, Cloud Platform
services such as BigQuery and BigTable) is almost there.
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