Whether to use Kubernetes or not is the question. This takes me back to the old Hadoop argument. People used to ask me to set up Hadoop clusters for them. As soon as I enquired how much data they had, it became immediately apparent that… Read More »Should I be using Kubernetes?
Welcome to 2024. You made it and this year is going to be big for Spark, Lakehouses, Stream processing engines and streaming data in general. I’ve had O’Reilly’s Stream Processing with Apache Spark, Streaming Systems and Stream Processing with Apache Flink on my shelves for… Read More »Data frameworks in 2024 – Which do you pick?
In today’s data-driven world, the ability to efficiently process, manage, and analyze data is not just a competitive edge; it’s a necessity. This is why we recently hosted a livestream (watch it here) to dive deep into Canonical’s Data Fabric platform, a solution that is… Read More »Unlocking the Power of Data with Canonical’s Data Fabric: Insights from Our Latest Livestream
In the ever-evolving digital landscape, businesses are generating vast amounts of data. From customer information to sales records, data has become a valuable asset for decision-making and business growth. However, the quality of this data is crucial. Poor data quality can lead to misguided decisions, flawed insights, and hindered business performance. That’s where data cleansing comes in.
Data pipelines serve as the backbone of effective data processing and analysis. They provide a streamlined and automated way to extract, transform, and load data, enabling businesses to make data-driven decisions and uncover actionable insights. In this guide, we’ll delve into the intricacies of data pipelines and shed light on their significance in today’s data-driven landscape.
In the era of big data, effective data management is essential for organizations to leverage the power of their data. Two popular approaches that have gained attention in recent years are Data Mesh and Data Lake. In this blog post, we will explore the key differences between these two concepts, their pros and cons, and their respective use cases. So, let’s dive in and unravel the distinctions between Data Mesh and Data Lake.
DBT (Data Build Tool) is a powerful open-source tool designed specifically for data scientists like you. It enables you to transform, model, and analyze your data with ease, providing a structured and scalable approach. By utilizing DBT, you can achieve reliable, maintainable, and reproducible analytics.
In today’s data-driven world, businesses operate in an environment where data is a valuable asset. One aspect that often goes overlooked, yet holds immense strategic value, is data lineage. While data lineage may sound complex, embracing its potential can yield significant benefits for organizations willing… Read More »The Power of Data Lineage in Business: Complex but Worthwhile
In the ever-evolving digital landscape, data has emerged as a fundamental and indispensable asset for businesses across various sectors. As organizations grapple with vast volumes of data, understanding its origin, journey, and transformations—known as data lineage—has become increasingly important in ensuring data quality, reliability, and… Read More »What is Data Lineage?
Introduction Apache Kafka and Apache Spark Streaming are two popular open-source frameworks used for building real-time data pipelines and streaming applications. Kafka provides a distributed pub/sub messaging system that allows you to publish and consume streams of records or messages. It can handle large amounts… Read More »The Synergistic Symphony of Kafka and Spark Streaming