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17  janvier     12h19
How To Build and Work With AWS Data Lake?
Asimiyu Musa    Digital tools and technologies help organizations generate large amounts of data daily, requiring efficient governance and management. This is where the AWS data lake comes in. With the AWS data lake, organizations and businesses can store, analyze, and process structured and unstructured data of...
    11h20
Top 5 Rivery Alternatives & Competitors in 2025
Kamlesh    The right data integration platform is crucial for the effective management and analysis of data. Rivery offers robust capabilities in data integration and transformation, but it may not fit every business x ;s unique needs. Fortunately, there are several Rivery alternatives available, each...
11  janvier     06h26
Gartner Magic Quadrant For Data Integration Tools Everything to Know
Radhika Sarraf    Every year, Gartner rolls out its Magic Quadrant for Data Integration Tools, a trusted guide for data leaders on the hunt for the perfect integration tool. Think of it as a cheat sheet that cuts through the noise x ;evaluating tools based on how well they perform, how innovative they are, and...
10  janvier     12h17
What Is the Role of LLM in Data Engineering Evolution?
Gagandeep Kaur    Let x ;s face it: Data engineering is like playing Tetris, always moving objects around to fit them into the right places. The data is never static; pipelines, schemas, transformations, workflows, and flow are always puzzles that must be solved. Yes, it is an unmistakable kind of job; however,...
    11h16
BigQuery Materialized View: Key Features, Steps & Use Cases Explained
Raju Mandal    One of the most common things in data analytics is running the same analytics queries over and over again by different end users over various times and snapshots of the data. This action, in particular, makes running warehousing solutions expensive and time consuming at the same time. How about, we...
09  janvier     13h05
The Future of Data Engineering Is Here 5 Trends You Can’t Ignore in 2025
Sid Lasley    Have you ever felt like data engineering is evolving at the speed of light With new tech emerging almost daily, it x ;s no surprise that staying ahead of the curve is harder than ever. As we step into the fantastic year ahead, the rate at which data engineering changes is at an all time...
08  janvier     12h39
Data Lake Best Practices: The Do’s and Don’ts
Martina Å estak    In today x ;s data driven world, data lakes have emerged as the data architecture of choice when storing and analyzing large volumes of data. However, implementing a successful data lake requires diligent planning and design, as it can quickly become a data swamp with no additional value. This...
    12h34
How to Connect to Oracle DB: 3 Easy Methods
Sarang Ravate    The Oracle Database is used by many companies around the world as the basis for the storage and processing of information. It is well adopted across all markets, including the financial sector and healthcare, where data security and management is critical. A lot of companies rely on Oracle database...
05  janvier     17h18
HR Data Integration: Challenges, Benefits, and Best Practices
Kamlesh    The trend of today x ;s information driven world is to make decisions based on information. The human resources departments are not left behind in this trend. Integration of HR data has become an important step in smoothing the flow of HR processes, improving the employee experience, and...
30  décembre     06h32
Enhancing Event Success with Data Integration in Events and Real-Time Analytics
Akanksha    Virtual events are central to business communication and audience engagement in this digital first world. However, success in virtual events goes beyond hosting an online gathering. xA ; A lot of the magic involves using the power of data integration and real time analytics to create impact, boost...