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Morphology and life cycle of data science platforms

Data science platform market is slated for an exponential growth of more than 40% in the next two years. A forecast by market research predicts numbers as high as 66% of growth in the next 3 years. All this gives an account of the intensity of the data science market as well as the tools that are involved there. Data science platform s have a wide range of applications when it comes to new and emerging businesses. It also caters to the requirements of the established business and helps them to derive state-of-the-art analytics. In this article, we aim to understand the entire morphology and life cycle of data science platforms in detail. Data science platform: Morphology In simple terms, we can define a data science platform as a technical framework that enables us to understand the working of the data science life cycle. In most cases, the data science life cycle revolves around three important stages. The first stage is called the stage of data integration. Needless to ment...
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What are the Benefits of Using Data Ingestion Tools?

Companies that are building Cloud-first ecosystems rely on a Data ingestion pipeline to advance into the new era of business analytics, AI Operations, and IT modernization. The need to embrace digital transformation is forcing organizations to adopt new technologies to reengineer the conventional IT setups. Today, every organization looks at Cloud and data management tools to redefine the way they use IT networking and data storage platforms for various business operations. To stay competitive in the business, digital transformation goals are designed with integrated Cloud ecosystems in mind, and a data ingestion pipeline is a very important aspect of this strategy. From redefining Cloud migration workflows to simplifying stream analytics with AI and Machine Learning applications, Data Ingestion tools can help an organization demolish the legacy silos, and replace these with a unified enterprise data warehouse where you can put all your data in one place and build a hyper-scale Cl...
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What does data ingestion mean?

  Data Ingestion The process of onboarding data from one or more data sources into an application data store is referred to as Data Ingestion. Almost all businesses in every industry go through some sort of data ingestion - whether a small instance of moving data from one application to another or all the way to an enterprise-wide application that deals with the huge amount of data in a continuous stream coming from multiple sources. The destination is usually a data lake, database, or data warehouse. Sources may be almost anything — including RDBMS, SaaS platform data, S3 buckets, in-house apps, databases, CSVs, or even online streams. Data ingestion is the pillar of any analytics architecture. Data Ingestion Benefits Data ingestion has numerous benefits for any organization as it enables a business to make better decisions, deliver improved customer service, and create superior products. In other words, the data ingestion process helps a business gain a better understan...
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Utilizing data ingestion pipeline platforms

  Data ingestion can be unnecessarily complicated and organizations frequently end up investing enormous amount of time and resources in this process itself. This, if you are a business head and planning to implement data science then you should definitely consider taking help of data ingestion pipeline platforms like gathr which offers one-stop solution for all your data ingestion requirements. Platform by gathr also offers state of the art facilities like self-service data ingestion, simple to use UI and automation.   Moreover, there is no format limitations either, be it CSV or JSON your data can be acquired and transferred to any location you want! About Gathr: Gathr is a next-gen, cloud-native, fully-managed, no-code data pipeline platform. It’s the only all-in-one platform for all your data integration and engineering needs – batch and streaming ingestion, CDC, ETL, ELT, data preparation, machine learning, and analytics. The Spark-based platform brings unmatched...
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