Women in Big Data

OCTOBER 9, 2024

The success of any data initiative hinges on the robustness and flexibility of its big data pipeline. What is a Data Pipeline? A traditional data pipeline is a structured process that begins with gathering data from various sources and loading it into a data warehouse or data lake.

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Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

MAY 16, 2023

It is used to extract data from various sources, transform the data to fit a specific data model or schema, and then load the transformed data into a target system such as a data warehouse or a database. In the extraction phase, the data is collected from various sources and brought into a staging area.

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Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JULY 29, 2024

Setting up a Hadoop cluster involves the following steps: Hardware Selection Choose the appropriate hardware for the master node and worker nodes, considering factors such as CPU, memory, storage, and network bandwidth. Apache Hadoop, Cloudera, Hortonworks). Download and extract the Apache Hadoop distribution on all nodes.

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Hadoop Clustering Big Data Big Data 52

Pickl AI

JULY 30, 2024

ETL (Extract, Transform, Load) Processes Apache NiFi can streamline ETL processes by extracting data from multiple sources, transforming it into the desired format, and loading it into target systems such as data warehouses or databases. Its visual interface allows users to design complex ETL workflows with ease.

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ETL Data Lakes Big Data Big Data 52

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Serverless Architecture : No need for infrastructure management.

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