CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

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Big Data Data Analytics Analytics Predictive Modeling 122

Analytics Vidhya

AUGUST 31, 2022

The need to maximize company efficiency and profitability has led the world to leverage data as a powerful tool. Data is reusable, everywhere, replicable, easily transferable, and […]. The post Why Big Data needs to become Smart Data? appeared first on Analytics Vidhya.

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Big Data Data Science Optimization Publishing 236

Analytics Vidhya

SEPTEMBER 21, 2020

Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we will see. The post 5 Popular NoSQL Databases Every Data Science Professional Should Know About appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 20, 2020

Overview We will discuss how you can query a MongoDB database using the PyMongo library. The post Query a MongoDB Database using PyMongo! appeared first on Analytics Vidhya. We will cover basic aggregation operations in MongoDB.

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Analytics Big Data 348

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Big Data storage and analysis […].

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Big Data Data Science Interactive Publishing 372

Analytics Vidhya

AUGUST 27, 2020

The post How to Create Aggregation Pipelines in a MongoDB Database Using PyMongo appeared first on Analytics Vidhya. Overview We will discuss aggregation pipelines in MongoDB. We will see how to use the operator like the match, group, bucket, and facet.

Analytics 337

Analytics Big Data Data Science 337

Analytics Vidhya

SEPTEMBER 15, 2020

Overview Indexing is MongoDB – a key aspect to managing and executing your database queries efficiently in data science Learn how indexing works in. The post Learning Database for Data Science Tutorial – Perform MongoDB Indexing using PyMongo appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 25, 2022

Introduction Apache Sqoop is a big data engine for transferring data between Hadoop and relational database servers. Sqoop transfers data from RDBMS (Relational Database Management System) such as MySQL and Oracle to HDFS (Hadoop Distributed File System). Big Data Sqoop can also be […].

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Big Data Data Science Publishing Management 319

Analytics Vidhya

MARCH 13, 2023

Introduction Microsoft Azure Synapse Analytics is a robust cloud-based analytics solution offered as part of the Azure platform. It is intended to assist organizations in simplifying the big data and analytics process by providing a consistent experience for data preparation, administration, and discovery.

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Smart Data Collective

SEPTEMBER 30, 2022

Given the growing importance of big data and the rising reliance of businesses on big data analytics to carry out their day-to-day operations, it is safe to say that big data has irrevocably altered the online world for anyone running a digital enterprise or an e-business.

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Big Data Data-driven Risk Measurement 135

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

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Big Data Data Analytics Analytics Cost-Benefit 52

Analytics Vidhya

DECEMBER 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction A NoSQL database is a non-relational database that does not use the traditional table-based schema of a relational database. NoSQL databases are often used for big data and real-time web applications.

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Big Data Data Science Publishing Analytics 234

Smart Data Collective

SEPTEMBER 28, 2022

In this blog post, we’ll explore some of the advantages of using a big data management solution for your business: Big data can improve your business decision-making. Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools.

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Big Data Management Data Quality Cost-Benefit 105

Analytics Vidhya

OCTOBER 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data.

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Structured Data Big Data Data Science Publishing 305

Analytics Vidhya

SEPTEMBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the Big Data space, companies like Amazon, Twitter, Facebook, Google, etc., collect terabytes and petabytes of user data that must be handled efficiently.

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Big Data Data Science Optimization Publishing 292

AWS Big Data

MARCH 18, 2024

In these cases, you may want an integrated query layer to seamlessly run analytical queries across these diverse cloud stores and streamline your data analytics processes. You can consolidate your analytics workflows, reducing the need for extensive tooling and infrastructure management.

Data Lake 98

Data Lake Analytics Cost-Benefit Management 98

Analytics Vidhya

AUGUST 17, 2022

Introduction In this article, we will introduce you to the big data ecosystem and the role of Apache Spark in Big data. We will also cover the Distributed database system, the backbone of big data. In today’s world, data is the fuel. Almost […].

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IT Big Data Data Science Publishing 232

Smart Data Collective

SEPTEMBER 13, 2021

Implementing big data solutions can help investment managers navigate value investing safely. In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. Main Types of Big Data. That is why it does not provide scalability data.

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Big Data Forecasting Cost-Benefit Machine Learning 107

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

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Smart Data Collective

JANUARY 26, 2021

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

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Data Architecture Big Data Data Strategy Data-driven 120

Smart Data Collective

NOVEMBER 22, 2021

Big data has been a powerful force of change in the fitness industry. More fitness companies are using data analytics, AI and other technology to better understand their customers, improve their operating margins and make other changes to adapt to new trends. The Role of Big Data in Fitness.

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Big Data Data-driven Software Data Processing 126

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 133

Analytics Data Science Unstructured Data Data mining 133

Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases.

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Big Data Data Science Publishing Data Processing 304

Analytics Vidhya

OCTOBER 28, 2020

The post Getting Started with Apache Hive – A Must Know Tool For all Big Data and Data Engineering Professionals appeared first on Analytics Vidhya. We will learn to do some basic operations in Apache Hive. Introduction Most of.

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Big Data Analytics IT 226

Smart Data Collective

NOVEMBER 18, 2020

The market for big data is surging. The increasing demand for big data is not surprising. We are living at a time when there is heavy reliance on big data, which often comes from online information. Due to the benefits online data provides, you should strive even more to find or share factual information.

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Big Data Statistics Recreation/Entertainment Finance 131

Analytics Vidhya

FEBRUARY 1, 2023

Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.)

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Big Data Analytics IT 254

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics. Well, the graph analytics algorithm would notice!

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Metadata Machine Learning ROI Prescriptive Analytics 250

Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

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Smart Data Collective

JULY 23, 2021

The good thing is that you can overcome these recruitment hurdles by using big data and analytics. You can check out this website to know how data and performance metrics can improve real estate recruiting.). Fortunately, this is another issue that big data can address. It Helps Cut Down Recruitment Costs.

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Big Data Data-driven Metrics Advertising 108

Smart Data Collective

OCTOBER 14, 2019

Advances in mass storage and mobile computing brought about the phenomenon we now know as “big data.” That is how “big” the need for big data analytics came to be. More specifically, big data analytics offers users the ability to generate relevant insights from heaps of data.

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Smart Data Collective

FEBRUARY 28, 2022

We are all in awe of the changes that big data has created for almost every industry. The implications of big data is more obvious in some industries than others. For example, we can all appreciate the tremendous changes that data science has created for the financial industry, healthcare and web design.

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Big Data Marketing Strategy Data-driven 98

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Create the zero-ETL integration.

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Data Warehouse Analytics Metrics Snapshot 90

Smart Data Collective

AUGUST 30, 2020

It’s easy to draw correlations between big data and certain areas of the business world. For example, it makes sense that a tech company would leverage big data, or that a software company would use it to develop a cutting edge SaaS offering. But in real estate, does big data really have a place at the table?

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Big Data Risk Data-driven Marketing 114

Smart Data Collective

FEBRUARY 21, 2020

Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering. How Has Big Data changed the Career?

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Big Data Data mining IoT Testing 114

Analytics Vidhya

MAY 19, 2022

Introduction on Apache HBase With the constant increment of structured data, it is getting difficult to efficiently store and process the petabytes of data. Apache HBase is a column-oriented, open-source NoSQL database, part of the Big data technology stack. appeared first on Analytics Vidhya.

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Structured Data Big Data Data Science Publishing 258

Smart Data Collective

DECEMBER 13, 2021

One of the biggest examples is with using big data in conjunction with laser technology. Big data technology can make laser marking even more useful. Applications of Laser Technology and Big Data. You might be wondering how laser technology can work with big data.

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Big Data Manufacturing Data-driven Technology 85

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times better price-performance than other cloud data warehouses.

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Data Warehouse Analytics Cost-Benefit Modeling 91