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new 416dec46 adding new blog post for AWSxPinot (#128)
416dec46 is described below
commit 416dec461cd2179f58dc3e473dfdbab0ebb5da71
Author: e-loftis <124932471+e-lof...@users.noreply.github.com>
AuthorDate: Fri Aug 16 14:52:56 2024 -0400
adding new blog post for AWSxPinot (#128)
---
data/authors/aws.mdx | 12 ++++++++++++
data/blog/2024-08-07-AWSxPinot.mdx | 14 ++++++++++++++
next.config.js | 1 -
public/static/images/blogs/AWSxPinot.png | Bin 0 -> 71568 bytes
4 files changed, 26 insertions(+), 1 deletion(-)
diff --git a/data/authors/aws.mdx b/data/authors/aws.mdx
new file mode 100644
index 00000000..51354e46
--- /dev/null
+++ b/data/authors/aws.mdx
@@ -0,0 +1,12 @@
+---
+name: Raj Ramasubbu, Francisco Morillo, and Ismail Makhlouf (AWS)
+avatar: /static/images/logomark.svg
+occupation: Software Engineer
+company: Stanford University
+email: addr...@yoursite.com
+twitter: https://twitter.com/Twitter
+linkedin: https://www.linkedin.com
+github: https://github.com
+---
+
+Apache Pinot is a real-time distributed online analytical processing (OLAP)
datastore. Use Pinot to ingest and immediately query data from streaming or
batch data sources (including, Apache Kafka, Amazon Kinesis, Hadoop HDFS,
Amazon S3, Azure ADLS, and Google Cloud Storage).
diff --git a/data/blog/2024-08-07-AWSxPinot.mdx
b/data/blog/2024-08-07-AWSxPinot.mdx
new file mode 100644
index 00000000..106e2eba
--- /dev/null
+++ b/data/blog/2024-08-07-AWSxPinot.mdx
@@ -0,0 +1,14 @@
+---
+title: Build a real-time analytics solution with Apache Pinot on AWS
+date: 2024-08-07
+authors:
+ - 'aws'
+summary: The AWS team wrote up a step-by-step guide showing you how you can
build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache
Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time
visualization using Tableau.
+tags: [Pinot, LinkedIn, real-time data platform, Realtime, Analytics,
User-Facing Analytics]
+---
+
+The AWS team wrote up a step-by-step guide showing you how you can build a
real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on
Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization
using Tableau. You can use Apache Pinot for batch processing use cases as well
but, in this post, we will focus on a near real-time analytics use case.
+
+Read More at
https://aws.amazon.com/blogs/big-data/build-a-real-time-analytics-solution-with-apache-pinot-on-aws/
+
+
diff --git a/next.config.js b/next.config.js
index 37598825..372ae4fa 100644
--- a/next.config.js
+++ b/next.config.js
@@ -60,7 +60,6 @@ const securityHeaders = [
module.exports = () => {
const plugins = [withContentlayer, withBundleAnalyzer];
return plugins.reduce((acc, next) => next(acc), {
- output: 'export',
// distDir: 'dist',
reactStrictMode: true,
pageExtensions: ['ts', 'tsx', 'js', 'jsx', 'md', 'mdx'],
diff --git a/public/static/images/blogs/AWSxPinot.png
b/public/static/images/blogs/AWSxPinot.png
new file mode 100644
index 00000000..51bb1d92
Binary files /dev/null and b/public/static/images/blogs/AWSxPinot.png differ
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