For those who are familiar with my previous Talend blogs perhaps you’ve noticed that I like to talk about building better solutions through design patterns and best practices. My blogs also tend to be a bit long. Yet you read them; many thanks for that! This blog is going to focus on methodologies as they apply to Talend solutions.
Not long ago, Forrester Research named Google Cloud the leader in their report, The Forrester Wave™: Insight Platforms-As-A-Service, Q3 2017 — and we couldn’t have been more proud. Without question, Google BigQuery has played a large role in this achievement.
Usually, predictions for a new year are brimming with optimism for a future yet unfurled. But 2018 is a roaring exception, given it’s the grand finale of decisions made back in 2016. Yes, perhaps we should have seen much of this coming, but few did. Hold onto your hats, because 2018 is almost upon us and it’s going to be a rough ride. The good news is that we’ll likely all be better off on the other side for having gone through these ‘data growing pains.’
When a disaster strikes and takes down the IT systems that are essential to operations, the IT team is often called on to enable a quick recovery. A disaster recovery plan (DRP) can help get systems back online quickly and efficiently. This plan documents the procedures required recover critical data and IT infrastructure after an outage.
Next-Generation Release Provides Integration With Spark for Data and Stream Processing and Kafka for Data Ingestion in Real Time
heck your data health. Why it is essential for great reports and better predictions? Clean data is particularly crucial for CRM, ERP, sales and IT systems with customer data. The basics of a great data insight or data visualization is a combination of good, clean data into a single solution architecture.
