Data Strategy

AWS Kinesis PutRecord Command: Made Easy 101

May 17th, 2022 By Samuel Salimon in Data Strategy

AWS Kinesis is a set of managed services that allows you to collect and process streaming data in real time. Big Data is fueled by streaming data processing platforms. Streaming…

Data Ingestion Framework using Spark: Workflows Simplified 101

May 17th, 2022 By Sanchit Agarwal in Data Ingestion, Data Strategy

Businesses collect, extract & store data in several data formats such as CSV(Comma Separated Values), Parquet, JSON, Avro, etc. Reading, manipulating & loading this data into your desired destination requires…

How to Use Oracle LogMiner? | Analyzing Redo Logs Simplified 101

May 17th, 2022 By Harshitha Balasankula in Data Strategy

Oracle LogMiner, a component of Oracle Database, provides a SQL interface for querying both live and archived redo log files. The history of activity on a database is stored in…

Data Mining Classification Simplified: Key Types, Steps & 6 Best Classifiers

May 17th, 2022 By Arsalan Mohammed in Data Strategy

The term Big Data is gaining immense popularity. It means huge amounts of data, rich in insights, that can provide value to an organization. There are multiple techniques that can…

Clustering Data Mining Techniques: 5 Critical Algorithms 2025

May 17th, 2022 By Akshaan Sehgal in Data Strategy

The Clustering Data Mining technique identifies hidden relationships and forecasting future trends has a long-standing history. The phrase "Data Mining," also known as "Knowledge Discovery in Databases(KDD)," was not popularized…

Enhanced ER Model: Everything You Need To Know

May 13th, 2022 By Manisha Jena in Data Strategy

Today, with the increase in the production of data, the complexity associated with data has also increased multifold. As a result, it becomes more and more difficult to use the…

Understanding Active-Active Clustering: A Comprehensive Guide 101

May 13th, 2022 By Syeda Famita Amber in Data Strategy

While installing a server infrastructure, the common problem faced by administrators is to deploy a fault-tolerant and nonresistant design that has the potential to handle a single or multi-node failure. Most…

Distributed Data Mining: 7 Critical Processes & Algorithms

May 13th, 2022 By Hitesh Jethva in Data Strategy

As the amount of data collected grows, most businesses and organisations are turning to Data Mining for analysis. Data Mining helps identify patterns and discover trends that further help in…

Kubernetes Batch Jobs: A Comprehensive Guide 101

May 13th, 2022 By Harshitha Balasankula in Data Strategy

Kubernetes is an open-source system, built on top of 15 years of experience running production workloads at Google in tandem with the best ideas and practices from the community. A…

Data Mining vs Statistics: 7 Critical Differences

May 13th, 2022 By Talha in Data Strategy, Versus

Expertise in making sense of data often defines success in modern business environments. Organizations are on a never-ending quest to acquire more data without even planning what to do with…

Best 10 Open-source Data Ingestion Tools in 2025

May 12th, 2022 By Sanchit Agarwal in Data Ingestion, Data Strategy

Extracting data from multiple sources in real time is still a challenging task for several firms. Open-source Data Ingestion Tools simplifies this process by automatically ingesting data from several sources…

How to optimize data ingestion paths into AWS IoT SiteWise

May 11th, 2022 By Osheen Jain in Data Ingestion, Data Strategy

Extracting Internet of Things (IoT) data (sensors and log data) for analysis requires a heavy investment in custom development. If you want to use machine and sensor data for real-time…

Ultimate Guide to Python SQS: 13+ Operations With Easy Examples

May 11th, 2022 By Divyansh Sharma in Data Strategy

Whether you are building a brand new application or hosting services on AWS, using Python on AWS simplifies the use of AWS Services. This combination provides you with a set…

11 Data Ingestion Tools for Your Modern Data Stack

May 10th, 2022 By Ishwarya M in Data Ingestion, Data Strategy

Data teams need reliable data ingestion tools to seamlessly collect and move data from multiple sources into their storage or analytics platforms. However, they often struggle with manual integrations, slow…

Apache NiFi Data Ingestion: A Comprehensive Guide 101

May 10th, 2022 By Osheen Jain in Data Ingestion, Data Strategy

Businesses design data ingestion pipelines to collect and store their data from various sources. Apache NiFi, short for Niagara Files, is an enterprise-grade data flow management tool that helps collect,…

RabbitMQ Queue Types 101: A Comprehensive Guide to Messaging in RabbitMQ

May 10th, 2022 By Sanchit Agarwal in Data Strategy

Business around the world uses several SaaS applications that need to communicate seamlessly with each other. With several network protocols and every application having its unique architecture, you need a…

Understanding Data Model Relationships: A Beginner’s Overview

May 9th, 2022 By Sageena P Kunju in Data Strategy

Data and its usage are becoming increasingly important in today's data-driven world. Data Model Relationships have become an essential factor in managing data. In simple terms, Data Modeling is “the…

What are Data Ingestion Types?[+ Definition, types, and Challenges]

May 9th, 2022 By Ishwarya M in Data Ingestion, Data Strategy

In the modern era, businesses are undergoing a significant transformation in which business operations are becoming increasingly data-intensive. Companies gather data from various sources, including applications, SaaS solutions, social channels,…

The Ultimate Guide On Designing a Fault Tolerant Network 101

May 9th, 2022 By Sharon Rithika in Data Strategy

Fault Tolerance refers to a system's capacity to continue running normally even if one or more of its components fail. Whether it's a computer system, a cloud cluster, a network,…

What is Microsoft MSMQ?

May 9th, 2022 By Sanchit Agarwal in Data Strategy

Businesses often find themselves stuck with delays between data transfer among several applications. For example, you may find an order processing application slow as the third-party resources involved in it…