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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

To some, the word Apache may bring images of Native American tribes celebrated for their tenacity and adaptability. These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. What is Apache Spark? Apache Spark components.

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The Good and the Bad of Apache Airflow Pipeline Orchestration

AltexSoft

But apparently, things were much more difficult before Apache Airflow appeared. What is Apache Airflow? Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines. Source: Apache Airflow. Source: Apache Airflow. How data engineering works.

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Stream Processing vs. Real-Time Analytics Databases

Rockset

Stream processing tools manipulate streaming data as it flows through a streaming data platform (Kafka being one of the most popular options, but there are others). This is part two in Rockset’s Making Sense of Real-Time Analytics on Streaming Data series. With that, let’s dive in. It’s easier to talk about the different approaches they take.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. There are two ways to deploy Hadoop — as a single-node cluster or as a multi-node cluster. Physically, they require the best hardware resources available. How does it work? Why did the need for Spark arise at all?

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

It is developed in Java and built upon the highly reputable Apache Lucene library. Shay Banon navigated job searches in a cozy London apartment while his wife honed her culinary skills at Le Cordon Bleu. To help her, Banon developed a search engine for her recipe collection. What is Elasticsearch?

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DataOps: What Is It, Core Principles, and Tools For Implementation

phData: Data Engineering

Source Control Management Infrastructure as Code Build/Deploy Strategy Continuous Integration and Delivery (CI/CD) Data Quality and Validation Workflow Management Data Modeling Monitoring and Logging Business Continuity So How Do I Build a DataOps Strategy? Want to Save This eBook for Later? No problem! Why Is This Challenging? Why is that?

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50 Cloud Computing Interview Questions and Answers for 2023

ProjectPro

Organisations deploy their applications on Cloud Providers infrastructure. Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. It is among the top skills that people want to upgrade. It is more than a better time than any other to get into the domain of cloud computing.