Sat.Jul 18, 2020 - Fri.Jul 24, 2020

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AWS RDS PostgreSQL Setup

Start Data Engineering

RDS AWS RDS is a managed service provided by AWS to run a relational database. We will see how to setup a postgres instance using AWS RDS. Log in to your AWS account. Go to Services -> RDS Click on Create Database, In the Create Database prompt, choose Standard Create option with PostgreSQL as engine type. In the Template section choose Free Tier and type in a DB Identifier, Master username and Master password.

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Introducing Domain-Oriented Microservice Architecture

Uber Engineering

Introduction. Recently there has been substantial discussion around the downsides of service oriented architectures and microservice architectures in particular. While only a few years ago, many people readily adopted microservice architectures due to the numerous benefits they provide such as … The post Introducing Domain-Oriented Microservice Architecture appeared first on Uber Engineering Blog.

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Doing Good with Data: Teradata's COVID-19 Resiliency Dashboard

Teradata

To help our customers navigate the world's new normal, our teams have created a business-centric, execution-focused tool – we call it the Resiliency Dashboard.

Data 142
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Making Wind Energy More Efficient With Data At Turbit Systems

Data Engineering Podcast

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs. In this episode he shares the story of how he got started working with wind energy, the system that he has built to collect data from the individual turbines, and how he is

Systems 100
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Stitch S3 DB Integration

Start Data Engineering

Given Source S3 path and file delimiter data warehouse connection details (endpoint, port, username, password and database name) data warehouse schema name and table name Run frequency Steps Log into your stitch account, here Click on the Destination tab and use the data warehouse connection details to establish a destination database. Click on Add Integration button on your dashboard.

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Measuring and Monitoring a Stream Processing Cloud Service: Inside Confluent Cloud ksqlDB

Confluent

While preparing for the launch of Confluent Cloud ksqlDB, the ksqlDB Team built a system of metrics and monitoring that enabled insight into the experience of operating ksqlDB, the associated […].

Cloud 101

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Why You Need to Treat Models Like Data

Teradata

Models are crucial in creating business value and need to be handled with care. That's why models should be treated like data. Learn more.

Data 72
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Stitch Database to data warehouse Integration

Start Data Engineering

Given Source database connection details (endpoint, port, username, password and database name) Source table to replicate destination schema name run frequency can be set to 10min We are assuming the destination data warehouse is already setup in stitch. Steps Log into your stitch account. here Click on Add Integration button on your dashboard. Choose PostgreSQL option as the integration in the next page.

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Data Privacy, Security, and Compliance for Apache Kafka

Confluent

Why data privacy for Apache Kafka®? As companies seek to leverage all forms of data for competitive advantage, there is a growing regulatory and reputational risk that calls for the […].

Kafka 95
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Improving MongoDB Read Performance - Indexing, Replication and Sharding

Rockset

Read performance is crucial for databases. If it takes too long to read a record from a database, this can stall the request for data from the client application, which could result in unexpected behavior and adversely impact user experience. For these reasons, the read operation on your database should last no more than a fraction of a second. There are a number of ways to improve database read performance, though not all of these methods will work for every type of application.

MongoDB 52
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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I’ve got the latest tech – now I’m a data business, right?

Teradata

Without a data strategy, led from the top and encompassing the whole bank, tech investments run the risk of becoming expensive pet projects, driven by fads & siloed thinking.

Banking 52
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Sharing Code in Next.JS Apps with Plugins

Grouparoo

At Grouparoo, our front-end website is built using React and Next.js. Next.js is an excellent tool made by Vercel that handles all the hard parts of making a React app for you - Routing, Server-side Rendering, Page Hydration and more. It includes a simple starting place to build your routes and pages, based on the file system. If you want a /about page, just make an /pages/about.tsx file!

Coding 52
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Improved Robustness and Usability of Exactly-Once Semantics in Apache Kafka

Confluent

This blog post talks about the recent improvements on exactly-once semantics (EOS) to make it simpler to use and more resilient. EOS was first released in Apache Kafka® 0.11 and […].

Kafka 75
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Building Real-Time Data Architectures to Foster Innovation

Rockset

Lessons from scaling facebook's online data infrastructure There are 3 growth numbers that stand out when I look back at the hyper-growth years of facebook from 2007 until 2015, when I was managing facebook's online data infrastructure team: user growth, team growth and infrastructure growth. Facebook’s user base grew from ~50 million monthly active users to a billion and half during that time, which is about a 30x growth.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Move Up the (Data) Property-Ladder

Teradata

Soon, retailers will need to run millions of queries everyday just to compete. But scaling to these levels needs an enterprise-wide strategy to overcome current barriers.

Retail 52
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Time-Series Bar Charts in Apache Superset

Preset

Diving deep into time-series bar charts in Superset.

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Data Enrichment in ksqlDB Using UDTFs

Confluent

This blog post applies to ksqlDB version 0.8.1 and later. Keeping a datacenter up and running is no walk in the park. It’s a job that involves mind-boggling amounts of […].

Data 71
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Apache Kafka as a Service with Confluent Cloud Now Available on AWS Marketplace

Confluent

You may already know that Confluent Cloud is available across AWS, Azure, and Google Cloud, allowing you to access the amazing stack built by Confluent including a battle-tested version of […].

AWS 59
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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.