Team Data Science

MAY 20, 2020

Should companies go full blowing big data/data science platform right away? In my opinion, you should first look at the different stages you are in. Are you in the Proof-of-Concept phase, where you are just working with offline data, where you are proving your concepts? Or are you in the MVP phase or in the creation of an MVP, where you are bringing in the first users, the first customers?

Big Data 130

Big Data Building AWS Kafka 130

Data Engineering Podcast

MAY 18, 2020

Summary The PostgreSQL database is massively popular due to its flexibility and extensive ecosystem of extensions, but it is still not the first choice for high performance analytics. Swarm64 aims to change that by adding support for advanced hardware capabilities like FPGAs and optimized usage of modern SSDs. In this episode CEO and co-founder Thomas Richter discusses his motivation for creating an extension to optimize Postgres hardware usage, the benefits of running your analytics on the same

PostgreSQL 100

PostgreSQL Database Data Warehouse Machine Learning 100

Confluent

MAY 18, 2020

What is stopping you from using Kafka Streams as your data layer for building applications? After all, it comes with fast, embedded RocksDB storage, takes care of redundancy for you, […].

Kafka 111

Kafka Building IT Database 111

Teradata

MAY 21, 2020

Operationalizing world class analytics into day-to-day processes can help solve some of the greatest challenges in the telecommunications industry. Find out more.

Telecommunication 105

Telecommunication Process 105

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Team Data Science

MAY 20, 2020

What are the job opportunities in the field of Data Science? Several, of course! Based on the 4 phases of a Data Science project, the possibilities can be worked out well. In this blog post only two of the four phases will be discussed. But now from the beginning. The four phases are: Proof-of-Concept, MVP, Validation and Scaling. The Proof of Concept Phase (PoC) Starting at the PoC phase, you could say: okay, I'm getting a research data scientist here.

Data Science 130

Data Science Algorithm Data Engineering Data Engineer 130

Grouparoo

MAY 21, 2020

There’s an underlying pattern prevalent today in many digital marketing tools that is causing problems. Wasted time, overpaying, slow velocity, and privacy issues for your customers are some of the results of this pattern. The problem is the over-reliance on Events. Specifically, the problem is that many marketing tools live in a world where they expect to be “pushed” data, when it would be so much better if they were “pulling” data when they needed it.

Data 52

Data Database Data Warehouse Building 52

Teradata

MAY 17, 2020

COVID-19 is a disruptive event affecting both demand and supply at a global level and at unprecedented speed. Here's how the automotive industry should respond.

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Dataquest

MAY 21, 2020

Python programming is a critical skill for data engineers. When it comes to working with data, there’s a powerful library that can increase your code’s efficiency dramatically, especially when you’re working with large datasets: NumPy. That’s why we’ve added a NumPy for Data Engineers course to our Data Engineering path !

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Preset

MAY 17, 2020

Now that you have Apache Superset installed locally, here's how to hook it up to your favorite database.

Database 52

Database IT 52

Rockset

MAY 19, 2020

Rockset has teamed up with MongoDB so you can build real-time apps with data across MongoDB and other sources. If you haven’t heard of Rockset or know what Rockset does, you will by the end of this guide! We’ll create an API to determine air quality using ClimaCell data on the weather and air pollutants. Air quality has been documented to effect human health (resources at the bottom).

MongoDB 40

MongoDB Python Database SQL 40

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

Teradata

MAY 19, 2020

As stakeholder demand for corporate accountability prompts change in the business world, opportunities for companies to capitalize on being sustainable are bigger than ever.

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Advancing Analytics: Data Engineering

MAY 19, 2020

Today’s the day! There’s much buzz & excitement as we FINALLY get to see Azure Synapse Analytics in public preview, ready for us all to get our hands on it. There’s a raft of other announcements that come hand & hand with it too. What’s that? You thought Azure Synapse Analytics was already available? You’ve been using all year and don’t see what the fuss is about??

Data Warehouse 52

Data Warehouse Data Lake SQL Big Data 52

Preset

MAY 20, 2020

This blob provides a summary of Apache Superset's first virtual community meetup event in May 2020.

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